DEVELOPMENT... OpenML
Run
19394

Run 19394

Task 2073 (Supervised Classification) yeast Uploaded 13-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptr on(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

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.

19 Evaluation measures

Area under ROC curve
0.8226
Per class
F measure
0.587
Per class
Kappa
0.4761
KB relative information score
691.7991
Mean absolute error
0.1027
Mean prior absolute error
0.1555
Number of instances
1484
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5859
Per class
Predictive accuracy
0.5964
Prior entropy
2.5035
Recall
0.5964
Per class
Relative absolute error
0.6604
Root mean prior squared error
0.2787
Root mean squared error
0.2346
Root relative squared error
0.8416
SciMark benchmark
947.4105[570.57268060828321014.9881711071126484.7593072718849911.80521739130441754.9271701211055]