Run
552387

Run 552387

Task 3858 (Supervised Classification) mfeat-zernike Uploaded 09-04-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptr on(3)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.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(3)_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
0.9801
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9884
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9351
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1805.0041
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0147
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.9884
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9885
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10-fold Crossvalidation)
Recall
0.9885
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0815
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3409
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668
UserCPU time millis
531.25
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
531.25
Cross-validation details (10-fold Crossvalidation)