Run
555329

Run 555329

Task 3957 (Supervised Classification) AP_Endometrium_Breast Uploaded 14-04-2016 by Jan van Rijn
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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
0.9877
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.978
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9149
Cross-validation details (10-fold Crossvalidation)
KB relative information score
353.8754
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0277
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2571
Cross-validation details (10-fold Crossvalidation)
Number of instances
405
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.10.1.el7.x86_64]
Precision
0.9784
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9778
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6157
Cross-validation details (10-fold Crossvalidation)
Recall
0.9778
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3577
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1421
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3974
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1483.3426
UserCPU time millis
6246560
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
6246500
Cross-validation details (10-fold Crossvalidation)