Run
477796

Run 477796

Task 10087 (Learning Curve) sylva_prior Uploaded 30-11-2015 by Jan van Rijn
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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)_C0.25
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
0.9683 ± 0.0158
Per class
F measure
0.993 ± 0.0018
Per class
Kappa
0.9396 ± 0.0156
KB relative information score
12977.255 ± 39.0838
Mean absolute error
0.0092 ± 0.0019
Mean prior absolute error
0.1156 ± 0.0003
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.993 ± 0.0018
Per class
Predictive accuracy
0.993 ± 0.0019
Prior entropy
0.3338
Recall
0.993 ± 0.0019
Per class
Relative absolute error
0.0793 ± 0.0164
Root mean prior squared error
0.2403 ± 0.0006
Root mean squared error
0.0822 ± 0.0111
Root relative squared error
0.3421 ± 0.0468
SciMark benchmark
1658.7981
UserCPU time millis
2490
UserCPU time millis testing
10
UserCPU time millis training
2480