OpenML
1830822

Run 1830822

Task 3560 (Supervised Classification) analcatdata_dmft Uploaded 05-10-2016 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
0.5812
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.21
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0557
Cross-validation details (10-fold Crossvalidation)
KB relative information score
77.3962
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2698
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2774
Cross-validation details (10-fold Crossvalidation)
Number of instances
797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2172
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2158
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5803
Cross-validation details (10-fold Crossvalidation)
Recall
0.2158
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9725
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3724
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3728
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0011
Cross-validation details (10-fold Crossvalidation)