DEVELOPMENT... OpenML
Run
130786

Run 130786

Task 3658 (Supervised Classification) fri_c3_250_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)_I160
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
0.9047
Per class
Build CPU time
0.1599
Build memory
291902941.6
F measure
0.852
Per class
Kappa
0.7019
KB relative information score
173.7436
Mean absolute error
0.1512
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8519
Per class
Predictive accuracy
0.852
Prior entropy
0.9955
Recall
0.852
Per class
Relative absolute error
0.3044
Root mean prior squared error
0.4984
Root mean squared error
0.3836
Root relative squared error
0.7696
SciMark benchmark
927.3354

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