Run
599830

Run 599830

Task 3973 (Supervised Classification) OVA_Omentum Uploaded 04-07-2016 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
0.8879
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9327
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1474
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-122.5041
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0685
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0952
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9271
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9476
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2882
Cross-validation details (10-fold Crossvalidation)
Recall
0.9476
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7195
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2176
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1956
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.899
Cross-validation details (10-fold Crossvalidation)
Total cost