Run
565515

Run 565515

Task 3749 (Supervised Classification) no2 Uploaded 19-04-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_MultilayerPe rceptron(1)Weka implementation of AttributeSelectedClassifier
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)_H1
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_MultilayerPerceptron(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5607
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5098
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.094
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12.1771
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4896
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.567
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.546
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.546
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9792
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.52
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.04
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1294.9051
UserCPU time millis
170
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
170
Cross-validation details (10-fold Crossvalidation)