DEVELOPMENT... OpenML
Run
116203

Run 116203

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6254
Per class
Build CPU time
0.0126
Build memory
1483602357.589
F measure
0.5828
Per class
Kappa
0.157
KB relative information score
14.008
Mean absolute error
0.4008
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5847
Per class
Predictive accuracy
0.589
Prior entropy
0.9937
Recall
0.589
Per class
Relative absolute error
0.8087
Root mean prior squared error
0.4977
Root mean squared error
0.5611
Root relative squared error
1.1273
SciMark benchmark
933.4498