Run
594216

Run 594216

Task 9906 (Supervised Classification) autoUniv-au7-1100 Uploaded 17-06-2016 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.

22 Evaluation measures

Area under ROC curve
0.6544
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3297
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1498
Cross-validation details (10-fold Crossvalidation)
KB relative information score
149.5593
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2974
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3154
Cross-validation details (10-fold Crossvalidation)
Number of instances
1100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3495
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.281
Cross-validation details (10-fold Crossvalidation)
Recall
0.3464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.943
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3971
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3873
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9753
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.8307
UserCPU time millis
340
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
330
Cross-validation details (10-fold Crossvalidation)