DEVELOPMENT... OpenML
Run
114865

Run 114865

Task 1819 (Supervised Classification) vote 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)_I40
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
0.9738
Per class
Build CPU time
0.0323
Build memory
1239632502.8377
F measure
0.9472
Per class
Kappa
0.889
KB relative information score
1921.2038
Mean absolute error
0.0542
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9475
Per class
Predictive accuracy
0.9471
Prior entropy
0.9627
Recall
0.9471
Per class
Relative absolute error
0.1144
Root mean prior squared error
0.4869
Root mean squared error
0.2251
Root relative squared error
0.4623
SciMark benchmark
893.4088