Run
477782

Run 477782

Task 10080 (Learning Curve) pc1 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
0.6625 ± 0.0895
Per class
F measure
0.9213 ± 0.0117
Per class
Kappa
0.3018 ± 0.1359
KB relative information score
49.6057 ± 17.4676
Mean absolute error
0.1003 ± 0.0073
Mean prior absolute error
0.1299 ± 0.0037
Number of instances
1109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9186 ± 0.0198
Per class
Predictive accuracy
0.9342 ± 0.0147
Prior entropy
0.3667
Recall
0.9342 ± 0.0147
Per class
Relative absolute error
0.7718 ± 0.0575
Root mean prior squared error
0.2542 ± 0.0073
Root mean squared error
0.2458 ± 0.026
Root relative squared error
0.9672 ± 0.0951
SciMark benchmark
1658.7981
UserCPU time millis
20
UserCPU time millis training
20