DEVELOPMENT... OpenML
Run
116330

Run 116330

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.6837
Per class
Build CPU time
0.0911
Build memory
722914833.4092
F measure
0.6481
Per class
Kappa
0.2891
KB relative information score
76.6774
Mean absolute error
0.3989
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6486
Per class
Predictive accuracy
0.6477
Prior entropy
0.992
Recall
0.6477
Per class
Relative absolute error
0.8067
Root mean prior squared error
0.4972
Root mean squared error
0.4896
Root relative squared error
0.9847
SciMark benchmark
945.0554