Run
1846374

Run 1846374

Task 9954 (Supervised Classification) one-hundred-plants-margin Uploaded 05-01-2017 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.

0 Evaluation measures