Run
570730

Run 570730

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 03-05-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_MultilayerPerceptron(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.AttributeSelectedClassifier_MultilayerPerceptron(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultilayerPerceptron(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_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
0.595
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3592
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1507
Cross-validation details (10-fold Crossvalidation)
KB relative information score
100.3263
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.406
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.3921
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4471
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.4471
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9151
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4546
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9652
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1040.265
UserCPU time millis
510
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
490
Cross-validation details (10-fold Crossvalidation)