Run
486363

Run 486363

Task 10068 (Learning Curve) mc1 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
0.83 ± 0.1003
Per class
F measure
0.9926 ± 0.0029
Per class
Kappa
0.4013 ± 0.2302
KB relative information score
-8958.1528 ± 940.3959
Mean absolute error
0.0093 ± 0.0022
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9924 ± 0.004
Per class
Predictive accuracy
0.9938 ± 0.0025
Prior entropy
0.0622
Recall
0.9938 ± 0.0025
Per class
Relative absolute error
0.6452 ± 0.1465
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.078 ± 0.0139
Root relative squared error
0.924 ± 0.156
SciMark benchmark
812.774
UserCPU time millis
610
UserCPU time millis testing
10
UserCPU time millis training
600