DEVELOPMENT... OpenML
Run
115886

Run 115886

Task 1773 (Supervised Classification) autos 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
0.875
Per class
Build CPU time
1.0308
Build memory
1025569146.8644
F measure
0.7608
Per class
Kappa
0.6873
KB relative information score
726.8809
Mean absolute error
0.0687
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7632
Per class
Predictive accuracy
0.761
Prior entropy
2.3268
Recall
0.761
Per class
Relative absolute error
0.311
Root mean prior squared error
0.3318
Root mean squared error
0.2546
Root relative squared error
0.7674
SciMark benchmark
934.2858