DEVELOPMENT... OpenML
Run
130175

Run 130175

Task 3648 (Supervised Classification) fri_c3_100_10 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)_I80
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
0.7781
Per class
Build CPU time
0.0277
Build memory
1199631055.2
F measure
0.7495
Per class
Kappa
0.477
KB relative information score
47.3328
Mean absolute error
0.2484
Mean prior absolute error
0.4804
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
0.7491
Per class
Predictive accuracy
0.75
Prior entropy
0.9721
Recall
0.75
Per class
Relative absolute error
0.517
Root mean prior squared error
0.4899
Root mean squared error
0.4875
Root relative squared error
0.995
SciMark benchmark
939.0159