DEVELOPMENT... OpenML
Run
129046

Run 129046

Task 3732 (Supervised Classification) fri_c4_100_25 Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.7733
Per class
Build CPU time
0.0123
Build memory
1130792698.4
F measure
0.6944
Per class
Kappa
0.3863
KB relative information score
39.0108
Mean absolute error
0.3037
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7035
Per class
Predictive accuracy
0.7
Prior entropy
0.9956
Recall
0.7
Per class
Relative absolute error
0.6112
Root mean prior squared error
0.4984
Root mean squared error
0.5242
Root relative squared error
1.0517
SciMark benchmark
909.5718