Run
477718

Run 477718

Task 10056 (Learning Curve) kdd_internet_usage 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
0.9264 ± 0.0116
Per class
F measure
0.8961 ± 0.0112
Per class
Kappa
0.7311 ± 0.0295
KB relative information score
6404.1008 ± 22.7466
Mean absolute error
0.1435 ± 0.0071
Mean prior absolute error
0.3929 ± 0.0002
Number of instances
10108
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8961 ± 0.0114
Per class
Predictive accuracy
0.898 ± 0.0108
Prior entropy
0.8395
Recall
0.898 ± 0.0108
Per class
Relative absolute error
0.3652 ± 0.0179
Root mean prior squared error
0.4432 ± 0.0002
Root mean squared error
0.2854 ± 0.0135
Root relative squared error
0.644 ± 0.0304
SciMark benchmark
1766.1121
UserCPU time millis
150
UserCPU time millis training
150