Run
10154886

Run 10154886

Task 25 (Supervised Classification) colic 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.

16 Evaluation measures

Area under ROC curve
0.5223 ± 0.0414
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4.4789 ± 1.5172
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4496 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4471 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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']
Predictive accuracy
0.663 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9227
Cross-validation details (10-fold Crossvalidation)
Recall
0.663 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0055 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4727 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4721 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9989 ± 0.0086
Cross-validation details (10-fold Crossvalidation)