Run
10154884

Run 10154884

Task 55 (Supervised Classification) vote Uploaded 07-03-2019 by Jan van Rijn
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  • ReproducibleBenchmark weka weka_3.9.3
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Flow

weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomS earch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(wek a.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsuperv ised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize) ,weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)Weka implementation.
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_E["ACC"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_class-label["1"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_search["weka.core.setupgenerator.MathParameter -property classifier.numIterations -min 500.0 -max 10000.0 -step 1.0 -base 1.0 -expression I","weka.core.setupgenerator.MathParameter -property classifier.classifier.maxDepth -min 1.0 -max 5.0 -step 1.0 -base 1.0 -expression I","weka.core.setupgenerator.MathParameter -property classifier.shrinkage -min -4.0 -max -1.0 -step 1.0 -base 10.0 -expression pow(BASE,I)"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_algorithm["weka.classifiers.meta.multisearch.RandomSearch"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_log-file["/home/fr/fr_fr/fr_jv1031"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_S["1"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_W["weka.classifiers.meta.FilteredClassifier"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_output-debug-info["false"]
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)))(2)_-do-not-check-capabilities["false"]
weka.classifiers.meta.multisearch.RandomSearch(2)_sample-size["100.0"]
weka.classifiers.meta.multisearch.RandomSearch(2)_num-folds["3"]
weka.classifiers.meta.multisearch.RandomSearch(2)_test-set["."]
weka.classifiers.meta.multisearch.RandomSearch(2)_num-iterations["25"]
weka.classifiers.meta.multisearch.RandomSearch(2)_num-slots["20"]
weka.classifiers.meta.multisearch.RandomSearch(2)_D["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree))(2)_F["weka.filters.MultiFilter"]
weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree))(2)_doNotCheckForModifiedClassAttribute["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree))(2)_S["1"]
weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree))(2)_W["weka.classifiers.meta.LogitBoost"]
weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree))(2)_output-debug-info["false"]
weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree))(2)_-do-not-check-capabilities["false"]
weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize)(2)_F["weka.filters.unsupervised.attribute.ReplaceMissingValues","weka.filters.unsupervised.attribute.RemoveUseless","weka.filters.unsupervised.attribute.Normalize"]
weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize)(2)_output-debug-info["false"]
weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize)(2)_-do-not-check-capabilities["false"]
weka.filters.unsupervised.attribute.RemoveUseless(2)_M["99.0"]
weka.filters.unsupervised.attribute.Normalize(2)_S["1.0"]
weka.filters.unsupervised.attribute.Normalize(2)_T["0.0"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_Q["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_use-estimated-priors["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_P["100"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_L["-1.7976931348623157E308"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_H["1.0"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_Z["3.0"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_O["1"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_E["1"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_S["1"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_I["10"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_W["weka.classifiers.trees.REPTree"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_output-debug-info["false"]
weka.classifiers.meta.LogitBoost(weka.classifiers.trees.REPTree)(2)_-do-not-check-capabilities["false"]
weka.classifiers.trees.REPTree(2)_M["2"]
weka.classifiers.trees.REPTree(2)_V["0.001"]
weka.classifiers.trees.REPTree(2)_N["3"]
weka.classifiers.trees.REPTree(2)_S["1"]
weka.classifiers.trees.REPTree(2)_P["false"]
weka.classifiers.trees.REPTree(2)_L["-1"]
weka.classifiers.trees.REPTree(2)_I["0.0"]
weka.classifiers.trees.REPTree(2)_R["false"]
weka.classifiers.trees.REPTree(2)_output-debug-info["false"]
weka.classifiers.trees.REPTree(2)_-do-not-check-capabilities["false"]

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

18 Evaluation measures

Area under ROC curve
0.9611 ± 0.018
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9565 ± 0.0223
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9088 ± 0.0466
Cross-validation details (10-fold Crossvalidation)
KB relative information score
285.874 ± 5.9937
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1904 ± 0.0761
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_161', 'amd64', 'Linux', '3.10.0-693.21.1.el7.x86_64']
Precision
0.9576 ± 0.0215
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9563 ± 0.0225
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.9563 ± 0.0225
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4015 ± 0.161
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2495 ± 0.047
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5124 ± 0.0973
Cross-validation details (10-fold Crossvalidation)