Run
486353

Run 486353

Task 10042 (Learning Curve) ada_prior Uploaded 02-12-2015 by Joaquin Vanschoren
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.3
weka.J48(33)_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
0.8374 ± 0.0267
Per class
F measure
0.8339 ± 0.0194
Per class
Kappa
0.54 ± 0.0531
KB relative information score
1827.6514 ± 21.8129
Mean absolute error
0.2191 ± 0.0143
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.8334 ± 0.0218
Per class
Predictive accuracy
0.8409 ± 0.0197
Prior entropy
0.8085
Recall
0.8409 ± 0.0197
Per class
Relative absolute error
0.587 ± 0.0384
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.3492 ± 0.018
Root relative squared error
0.8084 ± 0.0417
SciMark benchmark
810.5634
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70