Run
477806

Run 477806

Task 1730 (Learning Curve) credit-g 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
0.6225 ± 0.0851
Per class
F measure
0.6998 ± 0.0436
Per class
Kappa
0.2641 ± 0.1092
KB relative information score
171.47 ± 8.0287
Mean absolute error
0.3412 ± 0.0301
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.6952 ± 0.0472
Per class
Predictive accuracy
0.713 ± 0.0403
Prior entropy
0.8818
Recall
0.713 ± 0.0403
Per class
Relative absolute error
0.812 ± 0.0716
Root mean prior squared error
0.4583
Root mean squared error
0.4918 ± 0.0287
Root relative squared error
1.0731 ± 0.0626
SciMark benchmark
1692.1465
UserCPU time millis
10
UserCPU time millis training
10