DEVELOPMENT... OpenML
Run
115950

Run 115950

Task 2273 (Supervised Classification) meta_batchincremental.arff 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
0.7118
Per class
Build CPU time
0.7839
Build memory
1083093625.4054
F measure
0.6701
Per class
Kappa
0.3178
KB relative information score
23.5679
Mean absolute error
0.1433
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6374
Per class
Predictive accuracy
0.7162
Prior entropy
1.3842
Recall
0.7162
Per class
Relative absolute error
0.5689
Root mean prior squared error
0.3504
Root mean squared error
0.3677
Root relative squared error
1.0492
SciMark benchmark
935.6292