DEVELOPMENT... OpenML
Run
130902

Run 130902

Task 3795 (Supervised Classification) fri_c4_100_50 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
0.8143
Per class
Build CPU time
0.173
Build memory
790904496
F measure
0.768
Per class
Kappa
0.5275
KB relative information score
53.0997
Mean absolute error
0.2295
Mean prior absolute error
0.4929
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
0.7699
Per class
Predictive accuracy
0.77
Prior entropy
0.99
Recall
0.77
Per class
Relative absolute error
0.4656
Root mean prior squared error
0.4964
Root mean squared error
0.4782
Root relative squared error
0.9634
SciMark benchmark
927.3354