Run
169557

Run 169557

Task 2956 (Supervised Classification) BNG(cmc) Uploaded 20-02-2015 by Jan van Rijn
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Flow

weka.J48(28)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(28)_C0.25
weka.J48(28)_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.

22 Evaluation measures

Area under ROC curve
0.7054
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5599
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.317
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
138514.2063
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3581
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4307
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
552960
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.5595
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.561
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5387
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.561
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8314
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4443
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9574
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1066.833
UserCPU time millis
3780
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
3720
Cross-validation details (10 times 10-fold Crossvalidation)