OpenML
26661

Run 26661

Task 1776 (Supervised Classification) mfeat-factors 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
0.9298
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.4029
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
118141433.6
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8595
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.8438
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
8520.1468
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0298
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
10000
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
0.8598
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8594
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8594
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.1653
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1624
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.5413
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
933.585