Run
296628

Run 296628

Task 89 (Learning Curve) page-blocks Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_S1

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
0.9297 ± 0.0203
Per class
F measure
0.9699 ± 0.0072
Per class
Kappa
0.8424 ± 0.0369
KB relative information score
0.7619 ± 0.0441
Mean absolute error
0.0172 ± 0.0024
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9698 ± 0.0068
Per class
Predictive accuracy
0.97 ± 0.0075
Prior entropy
0.6355 ± 0.0053
Recall
0.97 ± 0.0075
Per class
Relative absolute error
0.2264 ± 0.0317
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.103 ± 0.0115
Root relative squared error
0.5288 ± 0.0593
SciMark benchmark
1352.2566
UserCPU time millis
630
UserCPU time millis training
630