Run
477731

Run 477731

Task 10068 (Learning Curve) mc1 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
0.7743 ± 0.1318
Per class
F measure
0.9926 ± 0.0023
Per class
Kappa
0.3933 ± 0.2102
KB relative information score
-8969.0747 ± 499.3912
Mean absolute error
0.0103 ± 0.002
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9925 ± 0.003
Per class
Predictive accuracy
0.9939 ± 0.0021
Prior entropy
0.0622
Recall
0.9939 ± 0.0021
Per class
Relative absolute error
0.7198 ± 0.126
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.0774 ± 0.0122
Root relative squared error
0.9165 ± 0.1348
SciMark benchmark
1658.7981
UserCPU time millis
320
UserCPU time millis testing
10
UserCPU time millis training
310