Run
1845846

Run 1845846

Task 14971 (Supervised Classification) Click_prediction_small Uploaded 11-12-2016 by Jan van Rijn
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Flow

weka.FilteredClassifier_MultiSearch_MultilayerPerceptron(1)Weka implementation of FilteredClassifier
weka.MultilayerPerceptron(4)_L0.3
weka.MultilayerPerceptron(4)_M0.2
weka.MultilayerPerceptron(4)_N500
weka.MultilayerPerceptron(4)_V0
weka.MultilayerPerceptron(4)_S0
weka.MultilayerPerceptron(4)_E20
weka.MultilayerPerceptron(4)_Ha
weka.FilteredClassifier_MultiSearch_MultilayerPerceptron(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_MultilayerPerceptron(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_MultilayerPerceptron(1)_EACC
weka.MultiSearch_MultilayerPerceptron(1)_class-label1
weka.MultiSearch_MultilayerPerceptron(1)_search[weka.core.setupgenerator.ListParameter -property hiddenLayers -list "\"32\" \"64\" \"128\" \"256\" \"512\" \"1024\" \"2048\"", weka.core.setupgenerator.MathParameter -property learningRate -min -5.0 -max 0.0 -step 1.0 -base 10.0 -expression pow(BASE,I), weka.core.setupgenerator.MathParameter -property trainingTime -min 2.0 -max 1000.0 -step 1.0 -base 10.0 -expression I, weka.core.setupgenerator.MathParameter -property momentum -min 0.1 -max 0.9 -step 0.1 -base 10.0 -expression I]
weka.MultiSearch_MultilayerPerceptron(1)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 3 -test-set . -num-iterations 200 -num-slots 32 -S 1 -num-slots 32
weka.MultiSearch_MultilayerPerceptron(1)_log-file/home/vanrijn/appl/weka-3-7-13
weka.MultiSearch_MultilayerPerceptron(1)_S1
weka.MultiSearch_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron

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
0.6061
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7553
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0009
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-831.2481
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2571
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
0.751
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8315
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8315
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9177
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3731
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9969
Cross-validation details (10-fold Crossvalidation)