Run
478518

Run 478518

Task 10088 (Learning Curve) vehicleNorm 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
0.8042 ± 0.0058
Per class
F measure
0.8356 ± 0.0027
Per class
Kappa
0.672 ± 0.0054
KB relative information score
59868.5682 ± 45.1551
Mean absolute error
0.2056 ± 0.0022
Mean prior absolute error
0.5
Number of instances
98528
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8395 ± 0.0028
Per class
Predictive accuracy
0.836 ± 0.0027
Prior entropy
1
Recall
0.836 ± 0.0027
Per class
Relative absolute error
0.4111 ± 0.0044
Root mean prior squared error
0.5
Root mean squared error
0.3886 ± 0.0038
Root relative squared error
0.7771 ± 0.0076
SciMark benchmark
1767.5245
UserCPU time millis
261800
UserCPU time millis testing
240
UserCPU time millis training
261560