Run
477926

Run 477926

Task 10052 (Learning Curve) hiva_agnostic 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)_M1

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
0.6135 ± 0.0621
Per class
F measure
0.9571 ± 0.0081
Per class
Kappa
0.2692 ± 0.1457
KB relative information score
131.1258 ± 53.2866
Mean absolute error
0.0544 ± 0.0058
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9543 ± 0.0136
Per class
Predictive accuracy
0.9643 ± 0.0065
Prior entropy
0.221
Recall
0.9643 ± 0.0065
Per class
Relative absolute error
0.7971 ± 0.0811
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.186 ± 0.0169
Root relative squared error
1.0087 ± 0.0856
SciMark benchmark
1730.6276
UserCPU time millis
43130
UserCPU time millis testing
20
UserCPU time millis training
43110