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Bojan Misic
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Modify baseline test files for multiclass classification with Iris dataset and LightGBM
1 parent 67072c5 commit 57b9fc3

12 files changed

+316
-316
lines changed

‎test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-out.txt

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -21,8 +21,8 @@ TRUTH ||========================
2121
Precision ||1.0000 |0.9310 |0.8966 |
2222
Accuracy(micro-avg): 0.936709
2323
Accuracy(macro-avg): 0.942857
24-
Log-loss: 0.312681
25-
Log-loss reduction: 71.248182
24+
Log-loss: 0.312759
25+
Log-loss reduction: 71.240938
2626

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Confusion table
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||========================
@@ -42,8 +42,8 @@ OVERALL RESULTS
4242
---------------------------------------
4343
Accuracy(micro-avg): 0.947228 (0.0105)
4444
Accuracy(macro-avg): 0.947944 (0.0051)
45-
Log-loss: 0.253035 (0.0596)
46-
Log-loss reduction: 76.717466 (5.4693)
45+
Log-loss: 0.253074 (0.0597)
46+
Log-loss reduction: 76.713844 (5.4729)
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---------------------------------------
4949
Physical memory usage(MB): %Number%

‎test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key-rp.txt

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
11
LightGBMMC
22
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
3-
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
3+
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
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‎test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.key.txt

Lines changed: 74 additions & 74 deletions
Original file line numberDiff line numberDiff line change
@@ -1,83 +1,83 @@
11
Instance Label Assigned Log-loss #1 Score #2 Score #3 Score #1 Class #2 Class #3 Class
2-
5 0 1 0.25328578422472414 0.776246 0.1675262 0.0562277846 0 1 2
3-
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10-
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11-
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19-
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20-
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24-
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‎test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-out.txt

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -23,8 +23,8 @@ TRUTH ||========================================
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Precision ||1.0000 |0.9310 |0.8966 |0.0000 |0.0000 |
2424
Accuracy(micro-avg): 0.936709
2525
Accuracy(macro-avg): 0.942857
26-
Log-loss: 0.312681
27-
Log-loss reduction: 71.248176
26+
Log-loss: 0.312759
27+
Log-loss reduction: 71.240931
2828

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Confusion table
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||========================================
@@ -46,8 +46,8 @@ OVERALL RESULTS
4646
---------------------------------------
4747
Accuracy(micro-avg): 0.947228 (0.0105)
4848
Accuracy(macro-avg): 0.947944 (0.0051)
49-
Log-loss: 0.253035 (0.0596)
50-
Log-loss reduction: 76.717461 (5.4693)
49+
Log-loss: 0.253074 (0.0597)
50+
Log-loss reduction: 76.713839 (5.4729)
5151

5252
---------------------------------------
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Physical memory usage(MB): %Number%

‎test/BaselineOutput/SingleDebug/LightGBMMC/LightGBMMC-CV-iris.keyU404-rp.txt

Lines changed: 1 addition & 1 deletion
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LightGBMMC
22
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
3-
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
3+
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
44

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