Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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Ivanidzo4ka merged 2 commits into from
Jul 12, 2018
Merged

Fix iris.txt dataset and modify Iris Classification tests accordingly #428

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43c28a3
Fix iris.txt dataset and modify Iris Classification tests accordingly
Jun 25, 2018
f9bfe8d
Modify baseline test files for multiclass classification with Iris da…
Jun 28, 2018
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8 changes: 4 additions & 4 deletions test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt
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Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down
2 changes: 1 addition & 1 deletion test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt
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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg) Accuracy(macro-avg) Log-loss Log-loss reduction /iter /lr /nl /mil /nt Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings
0.947228 0.947944 0.253035 76.71747 10 0.2 20 10 1 LightGBMMC %Data% %Output% 99 0 0 maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label} /iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1
0.947228 0.947944 0.253074 76.71384 10 0.2 20 10 1 LightGBMMC %Data% %Output% 99 0 0 maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label} /iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1

148 changes: 74 additions & 74 deletions test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt
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Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
Instance Label Assigned Log-loss #1 Score #2 Score #3 Score #1 Class #2 Class #3 Class
5 0 0 0.25328578422472414 0.776246 0.1675262 0.0562277846 0 1 2
6 0 0 0.12225769559664824 0.8849203 0.0591422766 0.05593741 0 2 1
8 0 0 0.13903052119099127 0.870201468 0.07016017 0.05963834 0 1 2
9 0 0 0.13970851121881944 0.8696117 0.07047898 0.0599093363 0 1 2
10 0 0 0.12269405525649343 0.88453424 0.0593406856 0.0561250672 0 2 1
11 0 0 0.12269405525649343 0.88453424 0.0593406856 0.0561250672 0 2 1
18 0 0 0.25328578422472414 0.776246 0.1675262 0.0562277846 0 1 2
20 0 0 0.25328578422472414 0.776246 0.1675262 0.0562277846 0 1 2
21 0 0 0.12269405525649343 0.88453424 0.0593406856 0.0561250672 0 2 1
25 0 0 0.13970851121881944 0.8696117 0.07047898 0.0599093363 0 1 2
28 0 0 0.12225769559664824 0.8849203 0.0591422766 0.05593741 0 2 1
31 0 0 0.12269405525649343 0.88453424 0.0593406856 0.0561250672 0 2 1
32 0 0 0.12269405525649343 0.88453424 0.0593406856 0.0561250672 0 2 1
35 0 0 0.13903052119099127 0.870201468 0.07016017 0.05963834 0 1 2
37 0 0 0.13970851121881944 0.8696117 0.07047898 0.0599093363 0 1 2
40 0 0 0.12225769559664824 0.8849203 0.0591422766 0.05593741 0 2 1
41 0 0 0.17550956509619134 0.8390294 0.09255582 0.0684148148 0 1 2
44 0 0 0.25328578422472414 0.776246 0.1675262 0.0562277846 0 1 2
45 0 0 0.13903052119099127 0.870201468 0.07016017 0.05963834 0 1 2
46 0 0 0.12269405525649343 0.88453424 0.0593406856 0.0561250672 0 2 1
48 0 0 0.12269405525649343 0.88453424 0.0593406856 0.0561250672 0 2 1
50 1 1 0.48031316690941278 0.61858964 0.2931589 0.08825144 1 2 0
51 1 1 0.18552267596609509 0.83067 0.09896274 0.07036729 1 0 2
52 1 2 1.8686139310181762 0.745523036 0.154337436 0.1001395 2 1 0
54 1 1 0.45819815025419125 0.632422149 0.3149078 0.0526700951 1 2 0
56 1 1 0.58631345356437459 0.5563746 0.357763946 0.0858614147 1 2 0
60 1 1 0.54904634529954011 0.5775003 0.363432646 0.0590670444 1 0 2
63 1 1 0.442888085987238 0.6421791 0.304338247 0.0534826852 1 2 0
64 1 1 0.14288655580917453 0.8668524 0.06818299 0.06496459 1 2 0
66 1 1 0.13927185898584951 0.8699915 0.06910439 0.060904108 1 2 0
68 1 1 0.1475586146516118 0.862811863 0.08110718 0.0560809337 1 2 0
69 1 1 0.13690026149264065 0.8720572 0.07104707 0.056895718 1 2 0
70 1 1 0.58631345356437459 0.5563746 0.357763946 0.0858614147 1 2 0
71 1 1 0.15194427686527462 0.859036148 0.07716796 0.06379592 1 2 0
72 1 2 1.4639003870351257 0.712372541 0.231332228 0.0562952235 2 1 0
73 1 1 0.45819815025419125 0.632422149 0.3149078 0.0526700951 1 2 0
74 1 1 0.13796619253742226 0.871128142 0.06828712 0.0605847277 1 2 0
76 1 1 0.45819815025419125 0.632422149 0.3149078 0.0526700951 1 2 0
77 1 2 2.0734221020246566 0.815010846 0.1257547 0.05923444 2 1 0
79 1 1 0.54904634529954011 0.5775003 0.363432646 0.0590670444 1 0 2
82 1 1 0.13641919697507263 0.8724768 0.07081407 0.0567091331 1 2 0
88 1 1 0.13407533925580511 0.8745242 0.06425438 0.0612214245 1 2 0
90 1 1 0.1425659799992052 0.867130339 0.0762954 0.0565742739 1 2 0
91 1 1 0.442888085987238 0.6421791 0.304338247 0.0534826852 1 2 0
92 1 1 0.13641919697507263 0.8724768 0.07081407 0.0567091331 1 2 0
93 1 1 0.54904634529954011 0.5775003 0.363432646 0.0590670444 1 0 2
95 1 1 0.13407533925580511 0.8745242 0.06425438 0.0612214245 1 2 0
96 1 1 0.13407533925580511 0.8745242 0.06425438 0.0612214245 1 2 0
97 1 1 0.13796619253742226 0.871128142 0.06828712 0.0605847277 1 2 0
98 1 1 0.54904634529954011 0.5775003 0.363432646 0.0590670444 1 0 2
99 1 1 0.13879074815854195 0.870410144 0.06865643 0.06093342 1 2 0
100 2 2 0.16223550400064654 0.850240946 0.0928473249 0.0569117554 2 0 1
102 2 2 0.12282263476045074 0.8844205 0.0591996 0.056379877 2 1 0
104 2 2 0.12282263476045074 0.8844205 0.0591996 0.056379877 2 1 0
105 2 2 0.12282263476045074 0.8844205 0.0591996 0.056379877 2 1 0
106 2 1 2.3434392875794119 0.8476237 0.09599691 0.05637939 1 2 0
108 2 2 0.22657594234978759 0.7972588 0.1479769 0.0547643229 2 1 0
109 2 2 0.16223550400064654 0.850240946 0.0928473249 0.0569117554 2 0 1
111 2 2 0.177848875720656 0.8370689 0.108788572 0.0541424938 2 1 0
5 0 0 0.25328601458204941 0.776245832 0.167526156 0.0562280267 0 1 2
6 0 0 0.12225796502047259 0.884920061 0.05914253 0.0559373945 0 2 1
8 0 0 0.13903079517192601 0.87020123 0.07016016 0.0596385933 0 1 2
9 0 0 0.13970878538557358 0.869611442 0.07047896 0.05990959 0 1 2
10 0 0 0.12269432479790915 0.884534 0.05934094 0.05612505 0 2 1
11 0 0 0.12269432479790915 0.884534 0.05934094 0.05612505 0 2 1
18 0 0 0.25328601458204941 0.776245832 0.167526156 0.0562280267 0 1 2
20 0 0 0.25328601458204941 0.776245832 0.167526156 0.0562280267 0 1 2
21 0 0 0.12269432479790915 0.884534 0.05934094 0.05612505 0 2 1
25 0 0 0.13970878538557358 0.869611442 0.07047896 0.05990959 0 1 2
28 0 0 0.12225796502047259 0.884920061 0.05914253 0.0559373945 0 2 1
31 0 0 0.12269432479790915 0.884534 0.05934094 0.05612505 0 2 1
32 0 0 0.12269432479790915 0.884534 0.05934094 0.05612505 0 2 1
35 0 0 0.13903079517192601 0.87020123 0.07016016 0.0596385933 0 1 2
37 0 0 0.13970878538557358 0.869611442 0.07047896 0.05990959 0 1 2
40 0 0 0.12225796502047259 0.884920061 0.05914253 0.0559373945 0 2 1
41 0 0 0.17550530270540357 0.839032948 0.09255621 0.068410866 0 1 2
44 0 0 0.25328601458204941 0.776245832 0.167526156 0.0562280267 0 1 2
45 0 0 0.13903079517192601 0.87020123 0.07016016 0.0596385933 0 1 2
46 0 0 0.12269432479790915 0.884534 0.05934094 0.05612505 0 2 1
48 0 0 0.12269432479790915 0.884534 0.05934094 0.05612505 0 2 1
50 1 1 0.48031528673730972 0.6185883 0.2931604 0.0882512555 1 2 0
51 1 1 0.1855230347406718 0.8306697 0.09896271 0.0703676 1 0 2
52 1 2 1.8686158620047173 0.7455236 0.154337138 0.100139305 2 1 0
54 1 1 0.45820041221338154 0.6324207 0.3149093 0.05266998 1 2 0
56 1 1 0.58631409634709242 0.556374252 0.357764423 0.08586135 1 2 0
60 1 1 0.5490426296940486 0.5775024 0.363434 0.0590636 1 0 2
63 1 1 0.44289031357940112 0.642177641 0.3043398 0.053482566 1 2 0
64 1 1 0.14288683084862894 0.866852164 0.06818328 0.06496458 1 2 0
66 1 1 0.13881478450725465 0.8703892 0.0686788 0.0609319545 1 2 0
68 1 1 0.14755364077036032 0.862816155 0.0811026245 0.0560812131 1 2 0
69 1 1 0.13689581878715465 0.8720611 0.07104298 0.0568959676 1 2 0
70 1 1 0.58631409634709242 0.556374252 0.357764423 0.08586135 1 2 0
71 1 1 0.15245577872775815 0.858596861 0.07763986 0.0637633 1 2 0
72 1 2 1.4638898231048283 0.7123695 0.231334671 0.05629582 2 1 0
73 1 1 0.45820041221338154 0.6324207 0.3149093 0.05266998 1 2 0
74 1 1 0.13842123633682313 0.870731831 0.068711035 0.06055716 1 2 0
76 1 1 0.45820041221338154 0.6324207 0.3149093 0.05266998 1 2 0
77 1 2 2.0734225760002563 0.815010965 0.12575464 0.0592344068 2 1 0
79 1 1 0.5490426296940486 0.5775024 0.363434 0.0590636 1 0 2
82 1 1 0.13641482472258923 0.872480631 0.07081 0.0567093827 1 2 0
88 1 1 0.13407561188247241 0.874523938 0.06425465 0.0612214059 1 2 0
90 1 1 0.14206322054986673 0.8675664 0.07583086 0.0566027239 1 2 0
91 1 1 0.44289031357940112 0.642177641 0.3043398 0.053482566 1 2 0
92 1 1 0.13641482472258923 0.872480631 0.07081 0.0567093827 1 2 0
93 1 1 0.5490426296940486 0.5775024 0.363434 0.0590636 1 0 2
95 1 1 0.13407561188247241 0.874523938 0.06425465 0.0612214059 1 2 0
96 1 1 0.13407561188247241 0.874523938 0.06425465 0.0612214059 1 2 0
97 1 1 0.13842123633682313 0.870731831 0.068711035 0.06055716 1 2 0
98 1 1 0.5490426296940486 0.5775024 0.363434 0.0590636 1 0 2
99 1 1 0.13879102207379132 0.8704099 0.06865671 0.0609334 1 2 0
100 2 2 0.16223550400064654 0.850240946 0.0928473249 0.05691175 2 0 1
102 2 2 0.12282263476045074 0.8844205 0.0591995977 0.0563798733 2 1 0
104 2 2 0.12282263476045074 0.8844205 0.0591995977 0.0563798733 2 1 0
105 2 2 0.12282263476045074 0.8844205 0.0591995977 0.0563798733 2 1 0
106 2 1 2.3492272871651649 0.84814316 0.09544288 0.05641394 1 2 0
108 2 2 0.22657586758781198 0.797258854 0.14797686 0.0547643043 2 1 0
109 2 2 0.16223550400064654 0.850240946 0.0928473249 0.05691175 2 0 1
111 2 2 0.177848875720656 0.8370689 0.108788565 0.0541424938 2 1 0
112 2 2 0.13281455464792449 0.875627458 0.06831084 0.0560617261 2 1 0
113 2 2 0.19621674447868781 0.8218341 0.12273933 0.05542656 2 1 0
113 2 2 0.1962166719523184 0.821834147 0.122739322 0.0554265566 2 1 0
115 2 2 0.17200937673419167 0.8419713 0.09234353 0.0656852052 2 0 1
117 2 2 0.16223550400064654 0.850240946 0.0928473249 0.0569117554 2 0 1
120 2 2 0.16223550400064654 0.850240946 0.0928473249 0.0569117554 2 0 1
121 2 2 0.16411842591849909 0.8486415 0.09412396 0.05723452 2 1 0
117 2 2 0.16223550400064654 0.850240946 0.0928473249 0.05691175 2 0 1
120 2 2 0.16223550400064654 0.850240946 0.0928473249 0.05691175 2 0 1
121 2 2 0.16411842591849909 0.8486415 0.09412395 0.0572345145 2 1 0
122 2 2 0.13716672321276682 0.871824861 0.07206305 0.0561121143 2 1 0
123 2 2 0.28256671512014453 0.753846347 0.189867079 0.05628657 2 1 0
125 2 2 0.20564890133993838 0.814118862 0.09413585 0.09174529 2 0 1
123 2 2 0.28256655698542577 0.753846467 0.18986699 0.0562865436 2 1 0
125 2 2 0.20564882812625254 0.8141189 0.09413582 0.09174526 2 0 1
128 2 2 0.13716672321276682 0.871824861 0.07206305 0.0561121143 2 1 0
129 2 2 0.16567795334648433 0.847319067 0.09548671 0.057194218 2 1 0
131 2 2 0.16223550400064654 0.850240946 0.0928473249 0.0569117554 2 0 1
129 2 2 0.16567788300150446 0.8473191 0.09548668 0.0571942 2 1 0
131 2 2 0.16223550400064654 0.850240946 0.0928473249 0.05691175 2 0 1
132 2 2 0.13716672321276682 0.871824861 0.07206305 0.0561121143 2 1 0
133 2 2 0.29113037794713281 0.7474182 0.191831991 0.0607497729 2 1 0
137 2 2 0.22116862531406531 0.8015815 0.104995139 0.09342336 2 1 0
138 2 1 0.99148905684440769 0.5769956 0.3710238 0.05198058 1 2 0
141 2 2 0.18520119392899573 0.8309371 0.09454043 0.07452248 2 0 1
144 2 2 0.16223550400064654 0.850240946 0.0928473249 0.0569117554 2 0 1
145 2 2 0.14505497806361808 0.864974737 0.07757514 0.0574501 2 1 0
147 2 2 0.14505497806361808 0.864974737 0.07757514 0.0574501 2 1 0
133 2 2 0.29112966022097542 0.747418761 0.191831574 0.06074964 2 1 0
137 2 2 0.22116855095526036 0.801581562 0.1049951 0.09342333 2 1 0
138 2 1 0.99148777165233459 0.5769952 0.371024281 0.05198054 1 2 0
141 2 2 0.18520119392899573 0.8309371 0.09454043 0.07452247 2 0 1
144 2 2 0.16223550400064654 0.850240946 0.0928473249 0.05691175 2 0 1
145 2 2 0.14505497806361808 0.864974737 0.07757514 0.0574500971 2 1 0
147 2 2 0.14505497806361808 0.864974737 0.07757514 0.0574500971 2 1 0
0 0 0 0.12805244799353907 0.879807234 0.0614267066 0.0587660335 0 1 2
1 0 0 0.13227381045206946 0.8761011 0.06422711 0.0596717857 0 1 2
2 0 0 0.12805244799353907 0.879807234 0.0614267066 0.0587660335 0 1 2
Expand Down
8 changes: 4 additions & 4 deletions test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down
2 changes: 1 addition & 1 deletion test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt
View file
Open in desktop
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg) Accuracy(macro-avg) Log-loss Log-loss reduction /iter /lr /nl /mil /nt Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings
0.947228 0.947944 0.253035 76.71746 10 0.2 20 10 1 LightGBMMC %Data% %Output% 99 0 0 maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1 /iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1
0.947228 0.947944 0.253074 76.71384 10 0.2 20 10 1 LightGBMMC %Data% %Output% 99 0 0 maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1 /iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1

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Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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Ivanidzo4ka
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Jul 12, 2018
 Merged


Fix iris.txt dataset and modify Iris Classification tests accordingly
#428
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43c28a3

Fix iris.txt dataset and modify Iris Classification tests accordingly

Jun 25, 2018
f9bfe8d

Modify baseline test files for multiclass classification with Iris da…

Jun 28, 2018

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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
 ||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
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2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

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LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71747	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	


148 changes: 74 additions & 74 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

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@@ -1,83 +1,83 @@
Instance	Label	Assigned	Log-loss	#1 Score	#2 Score	#3 Score	#1 Class	#2 Class	#3 Class
5	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
6	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
8	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
9	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
10	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
11	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
18	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
20	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
21	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
25	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
28	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
31	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
32	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
35	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
37	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
40	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
41	0	0	0.17550956509619134	0.8390294	0.09255582	0.0684148148	0	1	2
44	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
45	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
46	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
48	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
50	1	1	0.48031316690941278	0.61858964	0.2931589	0.08825144	1	2	0
51	1	1	0.18552267596609509	0.83067	0.09896274	0.07036729	1	0	2
52	1	2	1.8686139310181762	0.745523036	0.154337436	0.1001395	2	1	0
54	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
56	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
60	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
63	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
64	1	1	0.14288655580917453	0.8668524	0.06818299	0.06496459	1	2	0
66	1	1	0.13927185898584951	0.8699915	0.06910439	0.060904108	1	2	0
68	1	1	0.1475586146516118	0.862811863	0.08110718	0.0560809337	1	2	0
69	1	1	0.13690026149264065	0.8720572	0.07104707	0.056895718	1	2	0
70	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
71	1	1	0.15194427686527462	0.859036148	0.07716796	0.06379592	1	2	0
72	1	2	1.4639003870351257	0.712372541	0.231332228	0.0562952235	2	1	0
73	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
74	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
76	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
77	1	2	2.0734221020246566	0.815010846	0.1257547	0.05923444	2	1	0
79	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
82	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
88	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
90	1	1	0.1425659799992052	0.867130339	0.0762954	0.0565742739	1	2	0
91	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
92	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
93	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
95	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
96	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
97	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
98	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
99	1	1	0.13879074815854195	0.870410144	0.06865643	0.06093342	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
106	2	1	2.3434392875794119	0.8476237	0.09599691	0.05637939	1	2	0
108	2	2	0.22657594234978759	0.7972588	0.1479769	0.0547643229	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788572	0.0541424938	2	1	0
5	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
6	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
8	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
9	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
10	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
11	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
18	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
20	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
21	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
25	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
28	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
31	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
32	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
35	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
37	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
40	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
41	0	0	0.17550530270540357	0.839032948	0.09255621	0.068410866	0	1	2
44	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
45	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
46	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
48	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
50	1	1	0.48031528673730972	0.6185883	0.2931604	0.0882512555	1	2	0
51	1	1	0.1855230347406718	0.8306697	0.09896271	0.0703676	1	0	2
52	1	2	1.8686158620047173	0.7455236	0.154337138	0.100139305	2	1	0
54	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
56	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
60	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
63	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
64	1	1	0.14288683084862894	0.866852164	0.06818328	0.06496458	1	2	0
66	1	1	0.13881478450725465	0.8703892	0.0686788	0.0609319545	1	2	0
68	1	1	0.14755364077036032	0.862816155	0.0811026245	0.0560812131	1	2	0
69	1	1	0.13689581878715465	0.8720611	0.07104298	0.0568959676	1	2	0
70	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
71	1	1	0.15245577872775815	0.858596861	0.07763986	0.0637633	1	2	0
72	1	2	1.4638898231048283	0.7123695	0.231334671	0.05629582	2	1	0
73	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
74	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
76	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
77	1	2	2.0734225760002563	0.815010965	0.12575464	0.0592344068	2	1	0
79	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
82	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
88	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
90	1	1	0.14206322054986673	0.8675664	0.07583086	0.0566027239	1	2	0
91	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
92	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
93	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
95	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
96	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
97	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
98	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
99	1	1	0.13879102207379132	0.8704099	0.06865671	0.0609334	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
106	2	1	2.3492272871651649	0.84814316	0.09544288	0.05641394	1	2	0
108	2	2	0.22657586758781198	0.797258854	0.14797686	0.0547643043	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788565	0.0541424938	2	1	0
112	2	2	0.13281455464792449	0.875627458	0.06831084	0.0560617261	2	1	0
113	2	2	0.19621674447868781	0.8218341	0.12273933	0.05542656	2	1	0
113	2	2	0.1962166719523184	0.821834147	0.122739322	0.0554265566	2	1	0
115	2	2	0.17200937673419167	0.8419713	0.09234353	0.0656852052	2	0	1
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412396	0.05723452	2	1	0
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412395	0.0572345145	2	1	0
122	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
123	2	2	0.28256671512014453	0.753846347	0.189867079	0.05628657	2	1	0
125	2	2	0.20564890133993838	0.814118862	0.09413585	0.09174529	2	0	1
123	2	2	0.28256655698542577	0.753846467	0.18986699	0.0562865436	2	1	0
125	2	2	0.20564882812625254	0.8141189	0.09413582	0.09174526	2	0	1
128	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
129	2	2	0.16567795334648433	0.847319067	0.09548671	0.057194218	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
129	2	2	0.16567788300150446	0.8473191	0.09548668	0.0571942	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
132	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
133	2	2	0.29113037794713281	0.7474182	0.191831991	0.0607497729	2	1	0
137	2	2	0.22116862531406531	0.8015815	0.104995139	0.09342336	2	1	0
138	2	1	0.99148905684440769	0.5769956	0.3710238	0.05198058	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452248	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
133	2	2	0.29112966022097542	0.747418761	0.191831574	0.06074964	2	1	0
137	2	2	0.22116855095526036	0.801581562	0.1049951	0.09342333	2	1	0
138	2	1	0.99148777165233459	0.5769952	0.371024281	0.05198054	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452247	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
0	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
1	0	0	0.13227381045206946	0.8761011	0.06422711	0.0596717857	0	1	2
2	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
 ||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
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2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71746	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	

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Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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Ivanidzo4ka
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Jul 12, 2018
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Fix iris.txt dataset and modify Iris Classification tests accordingly
#428
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43c28a3

Fix iris.txt dataset and modify Iris Classification tests accordingly

Jun 25, 2018
f9bfe8d

Modify baseline test files for multiclass classification with Iris da…

Jun 28, 2018

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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
 ||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
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2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71747	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	


148 changes: 74 additions & 74 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

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Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
Instance	Label	Assigned	Log-loss	#1 Score	#2 Score	#3 Score	#1 Class	#2 Class	#3 Class
5	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
6	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
8	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
9	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
10	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
11	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
18	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
20	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
21	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
25	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
28	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
31	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
32	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
35	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
37	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
40	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
41	0	0	0.17550956509619134	0.8390294	0.09255582	0.0684148148	0	1	2
44	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
45	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
46	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
48	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
50	1	1	0.48031316690941278	0.61858964	0.2931589	0.08825144	1	2	0
51	1	1	0.18552267596609509	0.83067	0.09896274	0.07036729	1	0	2
52	1	2	1.8686139310181762	0.745523036	0.154337436	0.1001395	2	1	0
54	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
56	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
60	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
63	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
64	1	1	0.14288655580917453	0.8668524	0.06818299	0.06496459	1	2	0
66	1	1	0.13927185898584951	0.8699915	0.06910439	0.060904108	1	2	0
68	1	1	0.1475586146516118	0.862811863	0.08110718	0.0560809337	1	2	0
69	1	1	0.13690026149264065	0.8720572	0.07104707	0.056895718	1	2	0
70	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
71	1	1	0.15194427686527462	0.859036148	0.07716796	0.06379592	1	2	0
72	1	2	1.4639003870351257	0.712372541	0.231332228	0.0562952235	2	1	0
73	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
74	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
76	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
77	1	2	2.0734221020246566	0.815010846	0.1257547	0.05923444	2	1	0
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82	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
88	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
90	1	1	0.1425659799992052	0.867130339	0.0762954	0.0565742739	1	2	0
91	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
92	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
93	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
95	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
96	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
97	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
98	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
99	1	1	0.13879074815854195	0.870410144	0.06865643	0.06093342	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
106	2	1	2.3434392875794119	0.8476237	0.09599691	0.05637939	1	2	0
108	2	2	0.22657594234978759	0.7972588	0.1479769	0.0547643229	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788572	0.0541424938	2	1	0
5	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
6	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
8	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
9	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
10	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
11	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
18	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
20	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
21	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
25	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
28	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
31	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
32	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
35	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
37	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
40	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
41	0	0	0.17550530270540357	0.839032948	0.09255621	0.068410866	0	1	2
44	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
45	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
46	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
48	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
50	1	1	0.48031528673730972	0.6185883	0.2931604	0.0882512555	1	2	0
51	1	1	0.1855230347406718	0.8306697	0.09896271	0.0703676	1	0	2
52	1	2	1.8686158620047173	0.7455236	0.154337138	0.100139305	2	1	0
54	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
56	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
60	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
63	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
64	1	1	0.14288683084862894	0.866852164	0.06818328	0.06496458	1	2	0
66	1	1	0.13881478450725465	0.8703892	0.0686788	0.0609319545	1	2	0
68	1	1	0.14755364077036032	0.862816155	0.0811026245	0.0560812131	1	2	0
69	1	1	0.13689581878715465	0.8720611	0.07104298	0.0568959676	1	2	0
70	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
71	1	1	0.15245577872775815	0.858596861	0.07763986	0.0637633	1	2	0
72	1	2	1.4638898231048283	0.7123695	0.231334671	0.05629582	2	1	0
73	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
74	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
76	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
77	1	2	2.0734225760002563	0.815010965	0.12575464	0.0592344068	2	1	0
79	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
82	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
88	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
90	1	1	0.14206322054986673	0.8675664	0.07583086	0.0566027239	1	2	0
91	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
92	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
93	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
95	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
96	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
97	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
98	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
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104	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
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147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
133	2	2	0.29112966022097542	0.747418761	0.191831574	0.06074964	2	1	0
137	2	2	0.22116855095526036	0.801581562	0.1049951	0.09342333	2	1	0
138	2	1	0.99148777165233459	0.5769952	0.371024281	0.05198054	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452247	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
0	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
1	0	0	0.13227381045206946	0.8761011	0.06422711	0.0596717857	0	1	2
2	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
 ||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71746	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	

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Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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Ivanidzo4ka
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Jul 12, 2018
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Fix iris.txt dataset and modify Iris Classification tests accordingly
#428
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Fix iris.txt dataset and modify Iris Classification tests accordingly

Jun 25, 2018
f9bfe8d

Modify baseline test files for multiclass classification with Iris da…

Jun 28, 2018

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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
 ||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71747	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	


148 changes: 74 additions & 74 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

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Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
Instance	Label	Assigned	Log-loss	#1 Score	#2 Score	#3 Score	#1 Class	#2 Class	#3 Class
5	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
6	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
8	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
9	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
10	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
11	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
18	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
20	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
21	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
25	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
28	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
31	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
32	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
35	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
37	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
40	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
41	0	0	0.17550956509619134	0.8390294	0.09255582	0.0684148148	0	1	2
44	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
45	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
46	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
48	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
50	1	1	0.48031316690941278	0.61858964	0.2931589	0.08825144	1	2	0
51	1	1	0.18552267596609509	0.83067	0.09896274	0.07036729	1	0	2
52	1	2	1.8686139310181762	0.745523036	0.154337436	0.1001395	2	1	0
54	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
56	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
60	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
63	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
64	1	1	0.14288655580917453	0.8668524	0.06818299	0.06496459	1	2	0
66	1	1	0.13927185898584951	0.8699915	0.06910439	0.060904108	1	2	0
68	1	1	0.1475586146516118	0.862811863	0.08110718	0.0560809337	1	2	0
69	1	1	0.13690026149264065	0.8720572	0.07104707	0.056895718	1	2	0
70	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
71	1	1	0.15194427686527462	0.859036148	0.07716796	0.06379592	1	2	0
72	1	2	1.4639003870351257	0.712372541	0.231332228	0.0562952235	2	1	0
73	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
74	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
76	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
77	1	2	2.0734221020246566	0.815010846	0.1257547	0.05923444	2	1	0
79	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
82	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
88	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
90	1	1	0.1425659799992052	0.867130339	0.0762954	0.0565742739	1	2	0
91	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
92	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
93	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
95	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
96	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
97	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
98	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
99	1	1	0.13879074815854195	0.870410144	0.06865643	0.06093342	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
106	2	1	2.3434392875794119	0.8476237	0.09599691	0.05637939	1	2	0
108	2	2	0.22657594234978759	0.7972588	0.1479769	0.0547643229	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788572	0.0541424938	2	1	0
5	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
6	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
8	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
9	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
10	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
11	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
18	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
20	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
21	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
25	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
28	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
31	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
32	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
35	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
37	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
40	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
41	0	0	0.17550530270540357	0.839032948	0.09255621	0.068410866	0	1	2
44	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
45	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
46	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
48	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
50	1	1	0.48031528673730972	0.6185883	0.2931604	0.0882512555	1	2	0
51	1	1	0.1855230347406718	0.8306697	0.09896271	0.0703676	1	0	2
52	1	2	1.8686158620047173	0.7455236	0.154337138	0.100139305	2	1	0
54	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
56	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
60	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
63	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
64	1	1	0.14288683084862894	0.866852164	0.06818328	0.06496458	1	2	0
66	1	1	0.13881478450725465	0.8703892	0.0686788	0.0609319545	1	2	0
68	1	1	0.14755364077036032	0.862816155	0.0811026245	0.0560812131	1	2	0
69	1	1	0.13689581878715465	0.8720611	0.07104298	0.0568959676	1	2	0
70	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
71	1	1	0.15245577872775815	0.858596861	0.07763986	0.0637633	1	2	0
72	1	2	1.4638898231048283	0.7123695	0.231334671	0.05629582	2	1	0
73	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
74	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
76	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
77	1	2	2.0734225760002563	0.815010965	0.12575464	0.0592344068	2	1	0
79	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
82	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
88	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
90	1	1	0.14206322054986673	0.8675664	0.07583086	0.0566027239	1	2	0
91	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
92	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
93	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
95	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
96	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
97	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
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102	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
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105	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
106	2	1	2.3492272871651649	0.84814316	0.09544288	0.05641394	1	2	0
108	2	2	0.22657586758781198	0.797258854	0.14797686	0.0547643043	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788565	0.0541424938	2	1	0
112	2	2	0.13281455464792449	0.875627458	0.06831084	0.0560617261	2	1	0
113	2	2	0.19621674447868781	0.8218341	0.12273933	0.05542656	2	1	0
113	2	2	0.1962166719523184	0.821834147	0.122739322	0.0554265566	2	1	0
115	2	2	0.17200937673419167	0.8419713	0.09234353	0.0656852052	2	0	1
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412396	0.05723452	2	1	0
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412395	0.0572345145	2	1	0
122	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
123	2	2	0.28256671512014453	0.753846347	0.189867079	0.05628657	2	1	0
125	2	2	0.20564890133993838	0.814118862	0.09413585	0.09174529	2	0	1
123	2	2	0.28256655698542577	0.753846467	0.18986699	0.0562865436	2	1	0
125	2	2	0.20564882812625254	0.8141189	0.09413582	0.09174526	2	0	1
128	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
129	2	2	0.16567795334648433	0.847319067	0.09548671	0.057194218	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
129	2	2	0.16567788300150446	0.8473191	0.09548668	0.0571942	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
132	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
133	2	2	0.29113037794713281	0.7474182	0.191831991	0.0607497729	2	1	0
137	2	2	0.22116862531406531	0.8015815	0.104995139	0.09342336	2	1	0
138	2	1	0.99148905684440769	0.5769956	0.3710238	0.05198058	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452248	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
133	2	2	0.29112966022097542	0.747418761	0.191831574	0.06074964	2	1	0
137	2	2	0.22116855095526036	0.801581562	0.1049951	0.09342333	2	1	0
138	2	1	0.99148777165233459	0.5769952	0.371024281	0.05198054	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452247	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
0	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
1	0	0	0.13227381045206946	0.8761011	0.06422711	0.0596717857	0	1	2
2	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
 ||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71746	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	

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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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 Merged

Ivanidzo4ka
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Jul 12, 2018
 Merged


Fix iris.txt dataset and modify Iris Classification tests accordingly
#428
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43c28a3

Fix iris.txt dataset and modify Iris Classification tests accordingly

Jun 25, 2018
f9bfe8d

Modify baseline test files for multiclass classification with Iris da…

Jun 28, 2018

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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
 ||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71747	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	


148 changes: 74 additions & 74 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

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Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
Instance	Label	Assigned	Log-loss	#1 Score	#2 Score	#3 Score	#1 Class	#2 Class	#3 Class
5	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
6	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
8	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
9	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
10	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
11	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
18	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
20	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
21	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
25	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
28	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
31	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
32	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
35	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
37	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
40	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
41	0	0	0.17550956509619134	0.8390294	0.09255582	0.0684148148	0	1	2
44	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
45	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
46	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
48	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
50	1	1	0.48031316690941278	0.61858964	0.2931589	0.08825144	1	2	0
51	1	1	0.18552267596609509	0.83067	0.09896274	0.07036729	1	0	2
52	1	2	1.8686139310181762	0.745523036	0.154337436	0.1001395	2	1	0
54	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
56	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
60	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
63	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
64	1	1	0.14288655580917453	0.8668524	0.06818299	0.06496459	1	2	0
66	1	1	0.13927185898584951	0.8699915	0.06910439	0.060904108	1	2	0
68	1	1	0.1475586146516118	0.862811863	0.08110718	0.0560809337	1	2	0
69	1	1	0.13690026149264065	0.8720572	0.07104707	0.056895718	1	2	0
70	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
71	1	1	0.15194427686527462	0.859036148	0.07716796	0.06379592	1	2	0
72	1	2	1.4639003870351257	0.712372541	0.231332228	0.0562952235	2	1	0
73	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
74	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
76	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
77	1	2	2.0734221020246566	0.815010846	0.1257547	0.05923444	2	1	0
79	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
82	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
88	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
90	1	1	0.1425659799992052	0.867130339	0.0762954	0.0565742739	1	2	0
91	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
92	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
93	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
95	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
96	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
97	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
98	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
99	1	1	0.13879074815854195	0.870410144	0.06865643	0.06093342	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
106	2	1	2.3434392875794119	0.8476237	0.09599691	0.05637939	1	2	0
108	2	2	0.22657594234978759	0.7972588	0.1479769	0.0547643229	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788572	0.0541424938	2	1	0
5	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
6	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
8	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
9	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
10	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
11	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
18	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
20	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
21	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
25	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
28	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
31	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
32	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
35	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
37	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
40	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
41	0	0	0.17550530270540357	0.839032948	0.09255621	0.068410866	0	1	2
44	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
45	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
46	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
48	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
50	1	1	0.48031528673730972	0.6185883	0.2931604	0.0882512555	1	2	0
51	1	1	0.1855230347406718	0.8306697	0.09896271	0.0703676	1	0	2
52	1	2	1.8686158620047173	0.7455236	0.154337138	0.100139305	2	1	0
54	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
56	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
60	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
63	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
64	1	1	0.14288683084862894	0.866852164	0.06818328	0.06496458	1	2	0
66	1	1	0.13881478450725465	0.8703892	0.0686788	0.0609319545	1	2	0
68	1	1	0.14755364077036032	0.862816155	0.0811026245	0.0560812131	1	2	0
69	1	1	0.13689581878715465	0.8720611	0.07104298	0.0568959676	1	2	0
70	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
71	1	1	0.15245577872775815	0.858596861	0.07763986	0.0637633	1	2	0
72	1	2	1.4638898231048283	0.7123695	0.231334671	0.05629582	2	1	0
73	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
74	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
76	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
77	1	2	2.0734225760002563	0.815010965	0.12575464	0.0592344068	2	1	0
79	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
82	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
88	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
90	1	1	0.14206322054986673	0.8675664	0.07583086	0.0566027239	1	2	0
91	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
92	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
93	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
95	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
96	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
97	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
98	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
99	1	1	0.13879102207379132	0.8704099	0.06865671	0.0609334	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
106	2	1	2.3492272871651649	0.84814316	0.09544288	0.05641394	1	2	0
108	2	2	0.22657586758781198	0.797258854	0.14797686	0.0547643043	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788565	0.0541424938	2	1	0
112	2	2	0.13281455464792449	0.875627458	0.06831084	0.0560617261	2	1	0
113	2	2	0.19621674447868781	0.8218341	0.12273933	0.05542656	2	1	0
113	2	2	0.1962166719523184	0.821834147	0.122739322	0.0554265566	2	1	0
115	2	2	0.17200937673419167	0.8419713	0.09234353	0.0656852052	2	0	1
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412396	0.05723452	2	1	0
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412395	0.0572345145	2	1	0
122	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
123	2	2	0.28256671512014453	0.753846347	0.189867079	0.05628657	2	1	0
125	2	2	0.20564890133993838	0.814118862	0.09413585	0.09174529	2	0	1
123	2	2	0.28256655698542577	0.753846467	0.18986699	0.0562865436	2	1	0
125	2	2	0.20564882812625254	0.8141189	0.09413582	0.09174526	2	0	1
128	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
129	2	2	0.16567795334648433	0.847319067	0.09548671	0.057194218	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
129	2	2	0.16567788300150446	0.8473191	0.09548668	0.0571942	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
132	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
133	2	2	0.29113037794713281	0.7474182	0.191831991	0.0607497729	2	1	0
137	2	2	0.22116862531406531	0.8015815	0.104995139	0.09342336	2	1	0
138	2	1	0.99148905684440769	0.5769956	0.3710238	0.05198058	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452248	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
133	2	2	0.29112966022097542	0.747418761	0.191831574	0.06074964	2	1	0
137	2	2	0.22116855095526036	0.801581562	0.1049951	0.09342333	2	1	0
138	2	1	0.99148777165233459	0.5769952	0.371024281	0.05198054	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452247	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
0	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
1	0	0	0.13227381045206946	0.8761011	0.06422711	0.0596717857	0	1	2
2	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
 ||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71746	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	

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if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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 Merged

Ivanidzo4ka
merged 2 commits into

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Jul 12, 2018
 Merged


Fix iris.txt dataset and modify Iris Classification tests accordingly
#428
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43c28a3

Fix iris.txt dataset and modify Iris Classification tests accordingly

Jun 25, 2018
f9bfe8d

Modify baseline test files for multiclass classification with Iris da…

Jun 28, 2018

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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
 ||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71747	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	


148 changes: 74 additions & 74 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
Instance	Label	Assigned	Log-loss	#1 Score	#2 Score	#3 Score	#1 Class	#2 Class	#3 Class
5	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
6	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
8	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
9	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
10	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
11	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
18	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
20	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
21	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
25	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
28	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
31	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
32	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
35	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
37	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
40	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
41	0	0	0.17550956509619134	0.8390294	0.09255582	0.0684148148	0	1	2
44	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
45	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
46	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
48	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
50	1	1	0.48031316690941278	0.61858964	0.2931589	0.08825144	1	2	0
51	1	1	0.18552267596609509	0.83067	0.09896274	0.07036729	1	0	2
52	1	2	1.8686139310181762	0.745523036	0.154337436	0.1001395	2	1	0
54	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
56	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
60	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
63	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
64	1	1	0.14288655580917453	0.8668524	0.06818299	0.06496459	1	2	0
66	1	1	0.13927185898584951	0.8699915	0.06910439	0.060904108	1	2	0
68	1	1	0.1475586146516118	0.862811863	0.08110718	0.0560809337	1	2	0
69	1	1	0.13690026149264065	0.8720572	0.07104707	0.056895718	1	2	0
70	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
71	1	1	0.15194427686527462	0.859036148	0.07716796	0.06379592	1	2	0
72	1	2	1.4639003870351257	0.712372541	0.231332228	0.0562952235	2	1	0
73	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
74	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
76	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
77	1	2	2.0734221020246566	0.815010846	0.1257547	0.05923444	2	1	0
79	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
82	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
88	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
90	1	1	0.1425659799992052	0.867130339	0.0762954	0.0565742739	1	2	0
91	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
92	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
93	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
95	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
96	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
97	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
98	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
99	1	1	0.13879074815854195	0.870410144	0.06865643	0.06093342	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
106	2	1	2.3434392875794119	0.8476237	0.09599691	0.05637939	1	2	0
108	2	2	0.22657594234978759	0.7972588	0.1479769	0.0547643229	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788572	0.0541424938	2	1	0
5	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
6	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
8	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
9	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
10	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
11	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
18	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
20	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
21	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
25	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
28	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
31	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
32	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
35	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
37	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
40	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
41	0	0	0.17550530270540357	0.839032948	0.09255621	0.068410866	0	1	2
44	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
45	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
46	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
48	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
50	1	1	0.48031528673730972	0.6185883	0.2931604	0.0882512555	1	2	0
51	1	1	0.1855230347406718	0.8306697	0.09896271	0.0703676	1	0	2
52	1	2	1.8686158620047173	0.7455236	0.154337138	0.100139305	2	1	0
54	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
56	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
60	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
63	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
64	1	1	0.14288683084862894	0.866852164	0.06818328	0.06496458	1	2	0
66	1	1	0.13881478450725465	0.8703892	0.0686788	0.0609319545	1	2	0
68	1	1	0.14755364077036032	0.862816155	0.0811026245	0.0560812131	1	2	0
69	1	1	0.13689581878715465	0.8720611	0.07104298	0.0568959676	1	2	0
70	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
71	1	1	0.15245577872775815	0.858596861	0.07763986	0.0637633	1	2	0
72	1	2	1.4638898231048283	0.7123695	0.231334671	0.05629582	2	1	0
73	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
74	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
76	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
77	1	2	2.0734225760002563	0.815010965	0.12575464	0.0592344068	2	1	0
79	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
82	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
88	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
90	1	1	0.14206322054986673	0.8675664	0.07583086	0.0566027239	1	2	0
91	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
92	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
93	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
95	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
96	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
97	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
98	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
99	1	1	0.13879102207379132	0.8704099	0.06865671	0.0609334	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
106	2	1	2.3492272871651649	0.84814316	0.09544288	0.05641394	1	2	0
108	2	2	0.22657586758781198	0.797258854	0.14797686	0.0547643043	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788565	0.0541424938	2	1	0
112	2	2	0.13281455464792449	0.875627458	0.06831084	0.0560617261	2	1	0
113	2	2	0.19621674447868781	0.8218341	0.12273933	0.05542656	2	1	0
113	2	2	0.1962166719523184	0.821834147	0.122739322	0.0554265566	2	1	0
115	2	2	0.17200937673419167	0.8419713	0.09234353	0.0656852052	2	0	1
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412396	0.05723452	2	1	0
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412395	0.0572345145	2	1	0
122	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
123	2	2	0.28256671512014453	0.753846347	0.189867079	0.05628657	2	1	0
125	2	2	0.20564890133993838	0.814118862	0.09413585	0.09174529	2	0	1
123	2	2	0.28256655698542577	0.753846467	0.18986699	0.0562865436	2	1	0
125	2	2	0.20564882812625254	0.8141189	0.09413582	0.09174526	2	0	1
128	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
129	2	2	0.16567795334648433	0.847319067	0.09548671	0.057194218	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
129	2	2	0.16567788300150446	0.8473191	0.09548668	0.0571942	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
132	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
133	2	2	0.29113037794713281	0.7474182	0.191831991	0.0607497729	2	1	0
137	2	2	0.22116862531406531	0.8015815	0.104995139	0.09342336	2	1	0
138	2	1	0.99148905684440769	0.5769956	0.3710238	0.05198058	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452248	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
133	2	2	0.29112966022097542	0.747418761	0.191831574	0.06074964	2	1	0
137	2	2	0.22116855095526036	0.801581562	0.1049951	0.09342333	2	1	0
138	2	1	0.99148777165233459	0.5769952	0.371024281	0.05198054	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452247	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
0	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
1	0	0	0.13227381045206946	0.8761011	0.06422711	0.0596717857	0	1	2
2	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
 ||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
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2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71746	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	

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Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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Ivanidzo4ka
merged 2 commits into

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Jul 12, 2018
 Merged


Fix iris.txt dataset and modify Iris Classification tests accordingly
#428
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43c28a3

Fix iris.txt dataset and modify Iris Classification tests accordingly

Jun 25, 2018
f9bfe8d

Modify baseline test files for multiclass classification with Iris da…

Jun 28, 2018

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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
 ||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71747	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	


148 changes: 74 additions & 74 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
Instance	Label	Assigned	Log-loss	#1 Score	#2 Score	#3 Score	#1 Class	#2 Class	#3 Class
5	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
6	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
8	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
9	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
10	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
11	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
18	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
20	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
21	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
25	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
28	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
31	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
32	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
35	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
37	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
40	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
41	0	0	0.17550956509619134	0.8390294	0.09255582	0.0684148148	0	1	2
44	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
45	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
46	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
48	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
50	1	1	0.48031316690941278	0.61858964	0.2931589	0.08825144	1	2	0
51	1	1	0.18552267596609509	0.83067	0.09896274	0.07036729	1	0	2
52	1	2	1.8686139310181762	0.745523036	0.154337436	0.1001395	2	1	0
54	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
56	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
60	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
63	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
64	1	1	0.14288655580917453	0.8668524	0.06818299	0.06496459	1	2	0
66	1	1	0.13927185898584951	0.8699915	0.06910439	0.060904108	1	2	0
68	1	1	0.1475586146516118	0.862811863	0.08110718	0.0560809337	1	2	0
69	1	1	0.13690026149264065	0.8720572	0.07104707	0.056895718	1	2	0
70	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
71	1	1	0.15194427686527462	0.859036148	0.07716796	0.06379592	1	2	0
72	1	2	1.4639003870351257	0.712372541	0.231332228	0.0562952235	2	1	0
73	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
74	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
76	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
77	1	2	2.0734221020246566	0.815010846	0.1257547	0.05923444	2	1	0
79	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
82	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
88	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
90	1	1	0.1425659799992052	0.867130339	0.0762954	0.0565742739	1	2	0
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93	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
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79	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
82	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
88	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
90	1	1	0.14206322054986673	0.8675664	0.07583086	0.0566027239	1	2	0
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92	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
93	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
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104	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
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108	2	2	0.22657586758781198	0.797258854	0.14797686	0.0547643043	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788565	0.0541424938	2	1	0
112	2	2	0.13281455464792449	0.875627458	0.06831084	0.0560617261	2	1	0
113	2	2	0.19621674447868781	0.8218341	0.12273933	0.05542656	2	1	0
113	2	2	0.1962166719523184	0.821834147	0.122739322	0.0554265566	2	1	0
115	2	2	0.17200937673419167	0.8419713	0.09234353	0.0656852052	2	0	1
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412396	0.05723452	2	1	0
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412395	0.0572345145	2	1	0
122	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
123	2	2	0.28256671512014453	0.753846347	0.189867079	0.05628657	2	1	0
125	2	2	0.20564890133993838	0.814118862	0.09413585	0.09174529	2	0	1
123	2	2	0.28256655698542577	0.753846467	0.18986699	0.0562865436	2	1	0
125	2	2	0.20564882812625254	0.8141189	0.09413582	0.09174526	2	0	1
128	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
129	2	2	0.16567795334648433	0.847319067	0.09548671	0.057194218	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
129	2	2	0.16567788300150446	0.8473191	0.09548668	0.0571942	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
132	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
133	2	2	0.29113037794713281	0.7474182	0.191831991	0.0607497729	2	1	0
137	2	2	0.22116862531406531	0.8015815	0.104995139	0.09342336	2	1	0
138	2	1	0.99148905684440769	0.5769956	0.3710238	0.05198058	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452248	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
133	2	2	0.29112966022097542	0.747418761	0.191831574	0.06074964	2	1	0
137	2	2	0.22116855095526036	0.801581562	0.1049951	0.09342333	2	1	0
138	2	1	0.99148777165233459	0.5769952	0.371024281	0.05198054	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452247	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
0	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
1	0	0	0.13227381045206946	0.8761011	0.06422711	0.0596717857	0	1	2
2	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
 ||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71746	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	

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Fix iris.txt dataset and modify Iris Classification tests accordingly#428

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 Merged

Ivanidzo4ka
merged 2 commits into

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Jul 12, 2018
 Merged


Fix iris.txt dataset and modify Iris Classification tests accordingly
#428
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43c28a3

Fix iris.txt dataset and modify Iris Classification tests accordingly

Jun 25, 2018
f9bfe8d

Modify baseline test files for multiclass classification with Iris da…

Jun 28, 2018

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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -21,8 +21,8 @@ TRUTH ||========================
Precision ||1.0000 |0.9310 |0.8966 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248182
Log-loss: 0.312759
Log-loss reduction: 71.240938

Confusion table
 ||========================
Expand All@@ -42,8 +42,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717466 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713844 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
Expand Down

2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71747	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:TX:0 col=Features:1-*} data=%Data% seed=1 xf=Term{col=Label}	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	


148 changes: 74 additions & 74 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

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Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
Instance	Label	Assigned	Log-loss	#1 Score	#2 Score	#3 Score	#1 Class	#2 Class	#3 Class
5	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
6	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
8	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
9	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
10	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
11	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
18	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
20	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
21	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
25	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
28	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
31	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
32	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
35	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
37	0	0	0.13970851121881944	0.8696117	0.07047898	0.0599093363	0	1	2
40	0	0	0.12225769559664824	0.8849203	0.0591422766	0.05593741	0	2	1
41	0	0	0.17550956509619134	0.8390294	0.09255582	0.0684148148	0	1	2
44	0	0	0.25328578422472414	0.776246	0.1675262	0.0562277846	0	1	2
45	0	0	0.13903052119099127	0.870201468	0.07016017	0.05963834	0	1	2
46	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
48	0	0	0.12269405525649343	0.88453424	0.0593406856	0.0561250672	0	2	1
50	1	1	0.48031316690941278	0.61858964	0.2931589	0.08825144	1	2	0
51	1	1	0.18552267596609509	0.83067	0.09896274	0.07036729	1	0	2
52	1	2	1.8686139310181762	0.745523036	0.154337436	0.1001395	2	1	0
54	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
56	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
60	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
63	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
64	1	1	0.14288655580917453	0.8668524	0.06818299	0.06496459	1	2	0
66	1	1	0.13927185898584951	0.8699915	0.06910439	0.060904108	1	2	0
68	1	1	0.1475586146516118	0.862811863	0.08110718	0.0560809337	1	2	0
69	1	1	0.13690026149264065	0.8720572	0.07104707	0.056895718	1	2	0
70	1	1	0.58631345356437459	0.5563746	0.357763946	0.0858614147	1	2	0
71	1	1	0.15194427686527462	0.859036148	0.07716796	0.06379592	1	2	0
72	1	2	1.4639003870351257	0.712372541	0.231332228	0.0562952235	2	1	0
73	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
74	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
76	1	1	0.45819815025419125	0.632422149	0.3149078	0.0526700951	1	2	0
77	1	2	2.0734221020246566	0.815010846	0.1257547	0.05923444	2	1	0
79	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
82	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
88	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
90	1	1	0.1425659799992052	0.867130339	0.0762954	0.0565742739	1	2	0
91	1	1	0.442888085987238	0.6421791	0.304338247	0.0534826852	1	2	0
92	1	1	0.13641919697507263	0.8724768	0.07081407	0.0567091331	1	2	0
93	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
95	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
96	1	1	0.13407533925580511	0.8745242	0.06425438	0.0612214245	1	2	0
97	1	1	0.13796619253742226	0.871128142	0.06828712	0.0605847277	1	2	0
98	1	1	0.54904634529954011	0.5775003	0.363432646	0.0590670444	1	0	2
99	1	1	0.13879074815854195	0.870410144	0.06865643	0.06093342	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591996	0.056379877	2	1	0
106	2	1	2.3434392875794119	0.8476237	0.09599691	0.05637939	1	2	0
108	2	2	0.22657594234978759	0.7972588	0.1479769	0.0547643229	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788572	0.0541424938	2	1	0
5	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
6	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
8	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
9	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
10	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
11	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
18	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
20	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
21	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
25	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
28	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
31	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
32	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
35	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
37	0	0	0.13970878538557358	0.869611442	0.07047896	0.05990959	0	1	2
40	0	0	0.12225796502047259	0.884920061	0.05914253	0.0559373945	0	2	1
41	0	0	0.17550530270540357	0.839032948	0.09255621	0.068410866	0	1	2
44	0	0	0.25328601458204941	0.776245832	0.167526156	0.0562280267	0	1	2
45	0	0	0.13903079517192601	0.87020123	0.07016016	0.0596385933	0	1	2
46	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
48	0	0	0.12269432479790915	0.884534	0.05934094	0.05612505	0	2	1
50	1	1	0.48031528673730972	0.6185883	0.2931604	0.0882512555	1	2	0
51	1	1	0.1855230347406718	0.8306697	0.09896271	0.0703676	1	0	2
52	1	2	1.8686158620047173	0.7455236	0.154337138	0.100139305	2	1	0
54	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
56	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
60	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
63	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
64	1	1	0.14288683084862894	0.866852164	0.06818328	0.06496458	1	2	0
66	1	1	0.13881478450725465	0.8703892	0.0686788	0.0609319545	1	2	0
68	1	1	0.14755364077036032	0.862816155	0.0811026245	0.0560812131	1	2	0
69	1	1	0.13689581878715465	0.8720611	0.07104298	0.0568959676	1	2	0
70	1	1	0.58631409634709242	0.556374252	0.357764423	0.08586135	1	2	0
71	1	1	0.15245577872775815	0.858596861	0.07763986	0.0637633	1	2	0
72	1	2	1.4638898231048283	0.7123695	0.231334671	0.05629582	2	1	0
73	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
74	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
76	1	1	0.45820041221338154	0.6324207	0.3149093	0.05266998	1	2	0
77	1	2	2.0734225760002563	0.815010965	0.12575464	0.0592344068	2	1	0
79	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
82	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
88	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
90	1	1	0.14206322054986673	0.8675664	0.07583086	0.0566027239	1	2	0
91	1	1	0.44289031357940112	0.642177641	0.3043398	0.053482566	1	2	0
92	1	1	0.13641482472258923	0.872480631	0.07081	0.0567093827	1	2	0
93	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
95	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
96	1	1	0.13407561188247241	0.874523938	0.06425465	0.0612214059	1	2	0
97	1	1	0.13842123633682313	0.870731831	0.068711035	0.06055716	1	2	0
98	1	1	0.5490426296940486	0.5775024	0.363434	0.0590636	1	0	2
99	1	1	0.13879102207379132	0.8704099	0.06865671	0.0609334	1	2	0
100	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
102	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
104	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
105	2	2	0.12282263476045074	0.8844205	0.0591995977	0.0563798733	2	1	0
106	2	1	2.3492272871651649	0.84814316	0.09544288	0.05641394	1	2	0
108	2	2	0.22657586758781198	0.797258854	0.14797686	0.0547643043	2	1	0
109	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
111	2	2	0.177848875720656	0.8370689	0.108788565	0.0541424938	2	1	0
112	2	2	0.13281455464792449	0.875627458	0.06831084	0.0560617261	2	1	0
113	2	2	0.19621674447868781	0.8218341	0.12273933	0.05542656	2	1	0
113	2	2	0.1962166719523184	0.821834147	0.122739322	0.0554265566	2	1	0
115	2	2	0.17200937673419167	0.8419713	0.09234353	0.0656852052	2	0	1
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412396	0.05723452	2	1	0
117	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
120	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
121	2	2	0.16411842591849909	0.8486415	0.09412395	0.0572345145	2	1	0
122	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
123	2	2	0.28256671512014453	0.753846347	0.189867079	0.05628657	2	1	0
125	2	2	0.20564890133993838	0.814118862	0.09413585	0.09174529	2	0	1
123	2	2	0.28256655698542577	0.753846467	0.18986699	0.0562865436	2	1	0
125	2	2	0.20564882812625254	0.8141189	0.09413582	0.09174526	2	0	1
128	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
129	2	2	0.16567795334648433	0.847319067	0.09548671	0.057194218	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
129	2	2	0.16567788300150446	0.8473191	0.09548668	0.0571942	2	1	0
131	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
132	2	2	0.13716672321276682	0.871824861	0.07206305	0.0561121143	2	1	0
133	2	2	0.29113037794713281	0.7474182	0.191831991	0.0607497729	2	1	0
137	2	2	0.22116862531406531	0.8015815	0.104995139	0.09342336	2	1	0
138	2	1	0.99148905684440769	0.5769956	0.3710238	0.05198058	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452248	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.0569117554	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574501	2	1	0
133	2	2	0.29112966022097542	0.747418761	0.191831574	0.06074964	2	1	0
137	2	2	0.22116855095526036	0.801581562	0.1049951	0.09342333	2	1	0
138	2	1	0.99148777165233459	0.5769952	0.371024281	0.05198054	1	2	0
141	2	2	0.18520119392899573	0.8309371	0.09454043	0.07452247	2	0	1
144	2	2	0.16223550400064654	0.850240946	0.0928473249	0.05691175	2	0	1
145	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
147	2	2	0.14505497806361808	0.864974737	0.07757514	0.0574500971	2	1	0
0	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
1	0	0	0.13227381045206946	0.8761011	0.06422711	0.0596717857	0	1	2
2	0	0	0.12805244799353907	0.879807234	0.0614267066	0.0587660335	0	1	2
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8 changes: 4 additions & 4 deletions
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -23,8 +23,8 @@ TRUTH ||========================================
Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
Accuracy(micro-avg): 0.936709
Accuracy(macro-avg): 0.942857
Log-loss: 0.312681
Log-loss reduction: 71.248176
Log-loss: 0.312759
Log-loss reduction: 71.240931

Confusion table
 ||========================================
Expand All@@ -46,8 +46,8 @@ OVERALL RESULTS
---------------------------------------
Accuracy(micro-avg): 0.947228 (0.0105)
Accuracy(macro-avg): 0.947944 (0.0051)
Log-loss: 0.253035 (0.0596)
Log-loss reduction: 76.717461 (5.4693)
Log-loss: 0.253074 (0.0597)
Log-loss reduction: 76.713839 (5.4729)

---------------------------------------
Physical memory usage(MB): %Number%
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2 changes: 1 addition & 1 deletion
test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

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Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
LightGBMMC
Accuracy(micro-avg)	Accuracy(macro-avg)	Log-loss	Log-loss reduction	/iter	/lr	/nl	/mil	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
0.947228	0.947944	0.253035	76.71746	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	
0.947228	0.947944	0.253074	76.71384	10	0.2	20	10	1	LightGBMMC	%Data% %Output%	99	0	0	maml.exe CV tr=LightGBMMC{nt=1 iter=10 v=- lr=0.2 mil=10 nl=20} threads=- dout=%Output% loader=Text{col=Label:U4[0-4]:0 col=Features:1-4} data=%Data% seed=1	/iter:10;/lr:0.2;/nl:20;/mil:10;/nt:1	

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