Run
552409

Run 552409

Task 3880 (Supervised Classification) arrhythmia Uploaded 09-04-2016 by Martijn Post
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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
0.7559
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7363
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4743
Cross-validation details (10-fold Crossvalidation)
KB relative information score
177.9521
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3117
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4965
Cross-validation details (10-fold Crossvalidation)
Number of instances
452
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.7634
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7456
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9949
Cross-validation details (10-fold Crossvalidation)
Recall
0.7456
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6278
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8856
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668
UserCPU time millis
484.375
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
484.375
Cross-validation details (10-fold Crossvalidation)