Run
594053

Run 594053

Task 3899 (Supervised Classification) mozilla4 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
0.8866
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8514
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6653
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6175.2555
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2739
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4412
Cross-validation details (10-fold Crossvalidation)
Number of instances
15545
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
0.8526
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8506
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9135
Cross-validation details (10-fold Crossvalidation)
Recall
0.8506
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6208
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4697
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3589
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7641
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1491.1484
UserCPU time millis
460
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
410
Cross-validation details (10-fold Crossvalidation)