Run
1832565

Run 1832565

Task 125920 (Supervised Classification) dresses-sales Uploaded 12-10-2016 by Jan van Rijn
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Flow

weka.FilteredClassifier_MultiSearch_IBk(1)Weka implementation of FilteredClassifier
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.FilteredClassifier_MultiSearch_IBk(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_IBk(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_IBk(1)_EACC
weka.MultiSearch_IBk(1)_search[weka.core.setupgenerator.MathParameter -property KNN -min 1.0 -max 50.0 -step 1.0 -base 10.0 -expression I]
weka.MultiSearch_IBk(1)_algorithmweka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
weka.MultiSearch_IBk(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_IBk(1)_S1
weka.MultiSearch_IBk(1)_Wweka.classifiers.lazy.IBk

Result files

xml
Description

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

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
0.5878
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.55
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.11
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.1505
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4715
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4873
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.604
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9816
Cross-validation details (10-fold Crossvalidation)
Recall
0.604
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9676
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4879
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9886
Cross-validation details (10-fold Crossvalidation)