DEVELOPMENT... OpenML
Run
114343

Run 114343

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)_I20
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
0.7387
Per class
Build CPU time
0.2767
Build memory
445276313.4054
F measure
0.6598
Per class
Kappa
0.2958
KB relative information score
21.7223
Mean absolute error
0.1533
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
0.6266
Per class
Predictive accuracy
0.7027
Prior entropy
1.3842
Recall
0.7027
Per class
Relative absolute error
0.6085
Root mean prior squared error
0.3504
Root mean squared error
0.3704
Root relative squared error
1.057
SciMark benchmark
935.6292