DEVELOPMENT... OpenML
Run
128322

Run 128322

Task 3592 (Supervised Classification) fri_c2_100_5 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)_I10
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
0.816
Per class
Build CPU time
0.0024
Build memory
538325252.8
F measure
0.74
Per class
Kappa
0.4583
KB relative information score
42.7734
Mean absolute error
0.2706
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
0.74
Per class
Predictive accuracy
0.74
Prior entropy
0.9721
Recall
0.74
Per class
Relative absolute error
0.5634
Root mean prior squared error
0.4899
Root mean squared error
0.4503
Root relative squared error
0.9192
SciMark benchmark
943.5504