DEVELOPMENT... OpenML
Run
115400

Run 115400

Task 242 (Supervised Classification) mfeat-factors 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
0.9876
Per class
Build CPU time
205.698
Build memory
500358416
F measure
0.9669
Per class
Kappa
0.9629
KB relative information score
638.1764
Mean absolute error
0.0065
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9679
Per class
Predictive accuracy
0.9667
Prior entropy
3.3219
Recall
0.9667
Per class
Relative absolute error
0.0358
Root mean prior squared error
0.3
Root mean squared error
0.0792
Root relative squared error
0.2641
SciMark benchmark
939.6298