OpenML
26640

Run 26640

Task 1767 (Supervised Classification) kr-vs-kp Uploaded 08-10-2014 by Joaquin Vanschoren
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Flow

weka.J48(3)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9955
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0345
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
33843716.8
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9904
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.9807
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
15559.2526
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0143
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
15980
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9904
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9904
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9904
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.0287
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.0965
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.1932
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
944.601