Run
169158

Run 169158

Task 1891 (Supervised Classification) balance-scale 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
0.8235
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7625
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5985
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
3200.156
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1785
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
6250
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
0.7489
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7768
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7768
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4701
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3597
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8257
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1028.5889
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)