Run
10154881

Run 10154881

Task 13 (Supervised Classification) breast-cancer 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
0.5963 ± 0.1016
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5865
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0095 ± 0.0246
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0128 ± 0.0518
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4167 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.6435
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7028 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8779 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
Recall
0.7028 ± 0.0143
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9962 ± 0.0302
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4518 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9885 ± 0.0155
Cross-validation details (10-fold Crossvalidation)