Run
478299

Run 478299

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)_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
0.8184 ± 0.0057
Per class
F measure
0.8354 ± 0.0022
Per class
Kappa
0.6717 ± 0.0044
KB relative information score
59859.661 ± 36.1023
Mean absolute error
0.2056 ± 0.0018
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
0.8393 ± 0.0024
Per class
Predictive accuracy
0.8359 ± 0.0022
Prior entropy
1
Recall
0.8359 ± 0.0022
Per class
Relative absolute error
0.4113 ± 0.0035
Root mean prior squared error
0.5
Root mean squared error
0.3842 ± 0.0034
Root relative squared error
0.7683 ± 0.0067
SciMark benchmark
1658.7981
UserCPU time millis
251920
UserCPU time millis testing
220
UserCPU time millis training
251700