Run
296699

Run 296699

Task 81 (Learning Curve) mfeat-zernike 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
0.9128 ± 0.0143
Per class
F measure
0.6838 ± 0.0396
Per class
Kappa
0.6612 ± 0.0408
KB relative information score
0.6955 ± 0.0351
Mean absolute error
0.0702 ± 0.0068
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6798 ± 0.0386
Per class
Predictive accuracy
0.6951 ± 0.0367
Prior entropy
3.3219
Recall
0.6951 ± 0.0367
Per class
Relative absolute error
0.3901 ± 0.038
Root mean prior squared error
0.3
Root mean squared error
0.2084 ± 0.0114
Root relative squared error
0.6946 ± 0.038
SciMark benchmark
1340.1614
UserCPU time millis
1820
UserCPU time millis training
1820