Run
477826

Run 477826

Task 10052 (Learning Curve) hiva_agnostic 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
0.6325 ± 0.0539
Per class
F measure
0.9567 ± 0.0089
Per class
Kappa
0.2611 ± 0.1583
KB relative information score
101.9874 ± 59.6999
Mean absolute error
0.0545 ± 0.0061
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9537 ± 0.0144
Per class
Predictive accuracy
0.9641 ± 0.0073
Prior entropy
0.221
Recall
0.9641 ± 0.0073
Per class
Relative absolute error
0.7989 ± 0.0851
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.1829 ± 0.0174
Root relative squared error
0.9922 ± 0.0892
SciMark benchmark
1730.6276
UserCPU time millis
47140
UserCPU time millis testing
20
UserCPU time millis training
47120