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fixed arm baselines
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michaelgsharp committed Nov 15, 2023
1 parent c0c53fb commit 54e876a
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Expand Up @@ -37,7 +37,7 @@ Precision || 0.5333 | 0.8238 |
OVERALL 0/1 ACCURACY: 0.802005
LOG LOSS/instance: 0.811899
Test-set entropy (prior Log-Loss/instance): 0.727903
LOG-LOSS REDUCTION (RIG): -0.115395
LOG-LOSS REDUCTION (RIG): -0.115396
AUC: 0.559205

OVERALL RESULTS
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Expand Up @@ -5,9 +5,9 @@ num vars: 15
improvement criterion: Mean Improvement
L1 regularization selected 10 of 15 weights.
Model trained with 150 training examples.
Residual Deviance: 132.0122
Null Deviance: 329.5837
AIC: 154.0122
Residual Deviance: 132.4371
Null Deviance: 329.58368
AIC: 152.4371
Not training a calibrator because it is not needed.
Physical memory usage(MB): %Number%
Virtual memory usage(MB): %Number%
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@@ -1,18 +1,17 @@
LbfgsMaximumEntropyMulticlassTrainer bias and non-zero weights
Iris-setosa+(Bias) 2.2171915
Iris-versicolor+(Bias) 0.7695086
Iris-virginica+(Bias) -3.034663
Iris-setosa+f3 -3.180634
Iris-setosa+f2 -2.88663
Iris-setosa+f1 0.5392878
Iris-setosa+f0 -0.03958065
Iris-versicolor+f1 -0.7073272
Iris-virginica+f3 3.158146
Iris-virginica+f2 1.907791
Iris-virginica+f0 0.01793481
Iris-versicolor+(Bias) 0.76931
Iris-virginica+(Bias) -2.9864972
Iris-setosa+f3 -3.179184
Iris-setosa+f2 -2.8718326
Iris-setosa+f1 0.5830593
Iris-versicolor+f1 -0.68959576
Iris-virginica+f3 3.145027
Iris-virginica+f2 1.882819
Iris-virginica+f0 0.0037482954

*** MODEL STATISTICS SUMMARY ***
Count of training examples: 150
Residual Deviance: 132.0122
Null Deviance: 329.5837
AIC: 154.0122
Residual Deviance: 132.4371
Null Deviance: 329.58368
AIC: 152.4371

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644 changes: 322 additions & 322 deletions test/BaselineOutput/Common/Command/linux-arm/CommandTrainRanking-data.txt

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Instance Lab Score Probability Log-loss FeatureContributions Assigned
25 0 -7.89747334 0.198905617 0.31995586740159576 "Cat.marital-status.Never-married: -1, Cat.relationship.Own-child: -1, Cat.education.11th: -0.6349206, Num.fnlwgt: 0.07370297, Cat.occupation.Machine-op-inspct: 0.3253968, Cat.ethnicity.Black: 0.3253968" 0
38 0 -5.940426 0.265715331 0.44558861605922789 "Cat.education.HS-grad: -1, Cat.occupation.Farming-fishing: -1, Cat.ethnicity.White: -0.6666667, Cat.sex.Male: 0.05833334, Cat.marital-status.Married-civ-spouse: 0.725, Cat.relationship.Husband: 0.725" 0
28 1 5.871423 0.7785058 0.36122030322802184 "Cat.ethnicity.White: -0.9195402, Cat.native-country-region.United-States: -0.4482758, Num.hours-per-week: -0.1078942, Cat.education.Assoc-acdm: 0.9885057, Cat.marital-status.Married-civ-spouse: 1, Cat.relationship.Husband: 1" 1
44 1 3.73609614 0.6997251 0.51513986867407058 "Cat.Workclass.Private: -0.9080459, Cat.native-country-region.United-States: -0.4482758, Num.hours-per-week: -0.1078942, Cat.education.Some-college: 0.862069, Cat.marital-status.Married-civ-spouse: 1, Cat.relationship.Husband: 1" 1
18 0 -9.385759 0.1571482 0.24664910819847902 "Cat.marital-status.Never-married: -1, Cat.relationship.Own-child: -1, Cat.ethnicity.White: -0.6349206, Num.fnlwgt: 0.03363302, Num.education-num: 0.04402282, Cat.education.Some-college: 0.5952381" 0
25 0 -7.8974724 0.19890565 0.31995592107275417 "Cat.marital-status.Never-married: -1, Cat.relationship.Own-child: -1, Cat.education.11th: -0.6349206, Num.fnlwgt: 0.07370297, Cat.occupation.Machine-op-inspct: 0.32539684, Cat.ethnicity.Black: 0.32539684" 0
38 0 -5.940425 0.26571536 0.44558867461371687 "Cat.education.HS-grad: -1, Cat.occupation.Farming-fishing: -1, Cat.ethnicity.White: -0.6666667, Cat.sex.Male: 0.058333337, Cat.marital-status.Married-civ-spouse: 0.725, Cat.relationship.Husband: 0.725" 0
28 1 5.871423 0.77850574 0.36122041368491059 "Cat.ethnicity.White: -0.91954017, Cat.native-country-region.United-States: -0.44827583, Num.hours-per-week: -0.107894205, Cat.education.Assoc-acdm: 0.98850566, Cat.marital-status.Married-civ-spouse: 1, Cat.relationship.Husband: 1" 1
44 1 3.7360966 0.6997251 0.51513986867407058 "Cat.Workclass.Private: -0.90804595, Cat.native-country-region.United-States: -0.44827583, Num.hours-per-week: -0.107894205, Cat.education.Some-college: 0.86206895, Cat.marital-status.Married-civ-spouse: 1, Cat.relationship.Husband: 1" 1
18 0 -9.38576 0.15714817 0.24664905718635347 "Cat.marital-status.Never-married: -1, Cat.relationship.Own-child: -1, Cat.ethnicity.White: -0.6349206, Num.fnlwgt: 0.03363302, Num.education-num: 0.044022817, Cat.education.Some-college: 0.5952381" 0

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Expand Up @@ -5,9 +5,9 @@ num vars: 7
improvement criterion: Mean Improvement
L1 regularization selected 7 of 7 weights.
Model trained with 500 training examples.
Residual Deviance: 458.9709 (on 493 degrees of freedom)
Null Deviance: 539.2764 (on 499 degrees of freedom)
AIC: 472.9709
Residual Deviance: 458.9731 (on 493 degrees of freedom)
Null Deviance: 539.27637 (on 499 degrees of freedom)
AIC: 472.9731
Warning: The number of parameters is too large. Cannot hold the variance-covariance matrix in memory. Skipping computation of standard errors and z-statistics of coefficients. Consider choosing a larger L1 regularizerto reduce the number of parameters.
Not training a calibrator because it is not needed.
Physical memory usage(MB): %Number%
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Linear Binary Classification Predictor non-zero weights

(Bias) -4.426744
education-num 2.102877
age 1.920366
hours-per-week 1.882183
capital-gain 1.671043
capital-loss 0.9767318
fnlwgt 0.3191842
(Bias) -4.426656
education-num 2.102955
age 1.9202366
hours-per-week 1.8819588
capital-gain 1.6709453
capital-loss 0.9766091
fnlwgt 0.31932995

*** MODEL STATISTICS SUMMARY ***
Count of training examples: 500
Residual Deviance: 458.9709
Null Deviance: 539.2764
AIC: 472.9709
Residual Deviance: 458.9731
Null Deviance: 539.27637
AIC: 472.9731
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Expand Up @@ -24,4 +24,4 @@ id description date sing1 sing2 num1 num2 num1 num2 num3 num4
9 "" "2009-09-09T%Time%Z" 9.9 99.99 9.9 99.99 9.9000000000000004 99.989999999999995 999.99900000000002 ?
? "" "2010-10-10T%Time%Z" 10.1 ? 10.1 ? 10.1 ? 101010.10101 ?
11 NaN "2011-11-11T%Time%Z" ? ? ? ? ? ? ? Infinity
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Wrote 14 rows of length 11
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Expand Up @@ -24,4 +24,4 @@ id description date sing1 sing2 num1 num2 num1 num2 num3 num4
9 "" "2009-09-09T%Time%Z" 9.9 99.99 9.9 99.99 9.9000000000000004 99.989999999999995 999.99900000000002 ?
? "" "2010-10-10T%Time%Z" 10.1 ? 10.1 ? 10.1 ? 101010.10101 ?
11 NaN "2011-11-11T%Time%Z" ? ? ? ? ? ? ? Infinity
Wrote 14 rows of length 11
Wrote 14 rows of length 11

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