Run
25680

Run 25680

Task 1 (Supervised Classification) anneal Uploaded 01-10-2014 by Jan van Rijn
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Flow

weka.J48(3)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.

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.

21 Evaluation measures

Area under ROC curve
0.992
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1.211
Cross-validation details (10-fold Crossvalidation)
Build memory
594818616
Cross-validation details (10-fold Crossvalidation)
F measure
0.9851
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9636
Cross-validation details (10-fold Crossvalidation)
KB relative information score
841.2139
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_40, amd64, Windows 8, 6.2]
Precision
0.9855
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9855
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9855
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0392
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0649
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2512
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
377.3653[233.43691267455608325.16961265606164179.07634624461713310.7444334167214838.3993528561818]