DEVELOPMENT... OpenML
Run
128345

Run 128345

Task 3620 (Supervised Classification) fri_c0_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
0.695
Per class
Build CPU time
0.0022
Build memory
765124522.4
F measure
0.6665
Per class
Kappa
0.3282
KB relative information score
27.2963
Mean absolute error
0.3629
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
0.6696
Per class
Predictive accuracy
0.67
Prior entropy
0.9956
Recall
0.67
Per class
Relative absolute error
0.7304
Root mean prior squared error
0.4984
Root mean squared error
0.5144
Root relative squared error
1.0321
SciMark benchmark
943.5504