Run
477859

Run 477859

Task 10055 (Learning Curve) kc1 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
0.6844 ± 0.0703
Per class
F measure
0.8315 ± 0.0171
Per class
Kappa
0.3091 ± 0.0706
KB relative information score
288.553 ± 20.9265
Mean absolute error
0.1961 ± 0.0169
Mean prior absolute error
0.2616 ± 0.0016
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8247 ± 0.0186
Per class
Predictive accuracy
0.8459 ± 0.0162
Prior entropy
0.622
Recall
0.8459 ± 0.0162
Per class
Relative absolute error
0.7496 ± 0.0632
Root mean prior squared error
0.3615 ± 0.0023
Root mean squared error
0.3661 ± 0.0177
Root relative squared error
1.0127 ± 0.0477
SciMark benchmark
1692.1465
UserCPU time millis
60
UserCPU time millis training
60