DEVELOPMENT... OpenML
Run
113661

Run 113661

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)_I10
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
0.9967
Per class
Build CPU time
25.19
Build memory
1572467568
F measure
0.9474
Per class
Kappa
0.941
KB relative information score
625.8297
Mean absolute error
0.0105
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
0.9494
Per class
Predictive accuracy
0.947
Prior entropy
3.3219
Recall
0.947
Per class
Relative absolute error
0.0584
Root mean prior squared error
0.3
Root mean squared error
0.0961
Root relative squared error
0.3204
SciMark benchmark
917.4547