Run
598658

Run 598658

Task 3979 (Supervised Classification) AP_Breast_Colon Uploaded 01-07-2016 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_MultiSearch_Logistic(1)Weka implementation of FilteredClassifier
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_M-1
weka.FilteredClassifier_MultiSearch_Logistic(1)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
weka.FilteredClassifier_MultiSearch_Logistic(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_Logistic(1)_EACC
weka.MultiSearch_Logistic(1)_class-label1
weka.MultiSearch_Logistic(1)_search[weka.core.setupgenerator.MathParameter -property ridge -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_Logistic(1)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_Logistic(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_Logistic(1)_S1
weka.MultiSearch_Logistic(1)_Wweka.classifiers.functions.Logistic

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

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.

17 Evaluation measures

Area under ROC curve
0.9834
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9635
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9263
Cross-validation details (10-fold Crossvalidation)
KB relative information score
568.2572
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0521
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4958
Cross-validation details (10-fold Crossvalidation)
Number of instances
630
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9635
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9635
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9939
Cross-validation details (10-fold Crossvalidation)
Recall
0.9635
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1051
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4979
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1829
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3674
Cross-validation details (10-fold Crossvalidation)
Total cost