Run
486361

Run 486361

Task 10056 (Learning Curve) kdd_internet_usage Uploaded 02-12-2015 by Joaquin Vanschoren
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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)_C0.3
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
0.9246 ± 0.0133
Per class
F measure
0.8964 ± 0.0114
Per class
Kappa
0.732 ± 0.0299
KB relative information score
6416.4253 ± 24.0052
Mean absolute error
0.1428 ± 0.0075
Mean prior absolute error
0.3929 ± 0.0002
Number of instances
10108
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.8964 ± 0.0116
Per class
Predictive accuracy
0.8983 ± 0.0111
Prior entropy
0.8395
Recall
0.8983 ± 0.0111
Per class
Relative absolute error
0.3636 ± 0.0192
Root mean prior squared error
0.4432 ± 0.0002
Root mean squared error
0.2865 ± 0.0147
Root relative squared error
0.6465 ± 0.0332
SciMark benchmark
983.6985
UserCPU time millis
270
UserCPU time millis testing
10
UserCPU time millis training
260