DEVELOPMENT... OpenML
Run
115648

Run 115648

Task 3741 (Supervised Classification) fri_c2_250_50 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)_I80
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
0.9126
Per class
Build CPU time
2.6313
Build memory
781949132
F measure
0.8919
Per class
Kappa
0.7815
KB relative information score
195.0275
Mean absolute error
0.1086
Mean prior absolute error
0.4954
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.892
Per class
Predictive accuracy
0.892
Prior entropy
0.9934
Recall
0.892
Per class
Relative absolute error
0.2192
Root mean prior squared error
0.4977
Root mean squared error
0.327
Root relative squared error
0.657
SciMark benchmark
913.3372