Run
555173

Run 555173

Task 3942 (Supervised Classification) tumors_C Uploaded 12-04-2016 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
0.5745
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5757
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1065
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0603
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4384
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4565
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
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
0.5956
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9383
Cross-validation details (10-fold Crossvalidation)
Recall
0.5667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9604
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.624
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3081
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1280.4198
UserCPU time millis
122870
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
122860
Cross-validation details (10-fold Crossvalidation)