Run
594055

Run 594055

Task 3903 (Supervised Classification) pc3 Uploaded 16-06-2016 by Jan van Rijn
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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.

22 Evaluation measures

Area under ROC curve
0.775
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8645
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1322
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-132.1077
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1652
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1842
Cross-validation details (10-fold Crossvalidation)
Number of instances
1563
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8598
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8957
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.478
Cross-validation details (10-fold Crossvalidation)
Recall
0.8957
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8971
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2925
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9648
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1459.4544
UserCPU time millis
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
110
Cross-validation details (10-fold Crossvalidation)