Run
1830802

Run 1830802

Task 14971 (Supervised Classification) Click_prediction_small Uploaded 03-10-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_MultiSearch_LogitBoost_REPTree(1)Weka implementation of FilteredClassifier
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.FilteredClassifier_MultiSearch_LogitBoost_REPTree(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_LogitBoost_REPTree(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_LogitBoost_REPTree(1)_EACC
weka.MultiSearch_LogitBoost_REPTree(1)_class-label1
weka.MultiSearch_LogitBoost_REPTree(1)_search[weka.core.setupgenerator.MathParameter -property shrinkage -min -4.0 -max -1.0 -step 1.0 -base 10.0 -expression pow(BASE,I), weka.core.setupgenerator.MathParameter -property classifier.maxDepth -min 1.0 -max 5.0 -step 1.0 -base 10.0 -expression I, weka.core.setupgenerator.MathParameter -property numIterations -min 500.0 -max 10000.0 -step 1.0 -base 10.0 -expression I]
weka.MultiSearch_LogitBoost_REPTree(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_LogitBoost_REPTree(1)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_LogitBoost_REPTree(1)_S1
weka.MultiSearch_LogitBoost_REPTree(1)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_REPTree(6)_P100
weka.LogitBoost_REPTree(6)_L-1.7976931348623157E308
weka.LogitBoost_REPTree(6)_H1.0
weka.LogitBoost_REPTree(6)_Z3.0
weka.LogitBoost_REPTree(6)_O1
weka.LogitBoost_REPTree(6)_E1
weka.LogitBoost_REPTree(6)_S1
weka.LogitBoost_REPTree(6)_I10
weka.LogitBoost_REPTree(6)_Wweka.classifiers.trees.REPTree

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
0.7656
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0436
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-26904.2776
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3504
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8007
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8337
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8337
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2507
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3986
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0651
Cross-validation details (10-fold Crossvalidation)