DEVELOPMENT... OpenML
Run
116132

Run 116132

Task 3675 (Supervised Classification) pbc Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I160
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_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.

21 Evaluation measures

Area under ROC curve
0.7538
Per class
Build CPU time
0.1954
Build memory
1038996658.6986
F measure
0.6499
Per class
Kappa
0.2916
KB relative information score
128.6281
Mean absolute error
0.3432
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6496
Per class
Predictive accuracy
0.6507
Prior entropy
0.9928
Recall
0.6507
Per class
Relative absolute error
0.6935
Root mean prior squared error
0.4975
Root mean squared error
0.4805
Root relative squared error
0.9658
SciMark benchmark
945.5885