Run
296600

Run 296600

Task 88 (Learning Curve) credit-approval 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
0.8763 ± 0.0441
Per class
F measure
0.8522 ± 0.0422
Per class
Kappa
0.702 ± 0.0847
KB relative information score
0.5778 ± 0.0688
Mean absolute error
0.225 ± 0.0322
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8539 ± 0.0413
Per class
Predictive accuracy
0.8519 ± 0.0418
Prior entropy
0.9912 ± 0.0021
Recall
0.8519 ± 0.0418
Per class
Relative absolute error
0.4555 ± 0.0653
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3507 ± 0.0448
Root relative squared error
0.7056 ± 0.0903
SciMark benchmark
1352.2566
UserCPU time millis
10
UserCPU time millis training
10