DEVELOPMENT... OpenML
Run
130550

Run 130550

Task 1787 (Supervised Classification) cmc 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
0.5271
Per class
Build CPU time
0.0055
Build memory
116709953.5533
F measure
0.3874
Per class
Kappa
0.0552
KB relative information score
1121.8704
Mean absolute error
0.388
Mean prior absolute error
0.4308
Number of instances
7365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3961
Per class
Predictive accuracy
0.4181
Prior entropy
1.5392
Recall
0.4181
Per class
Relative absolute error
0.9005
Root mean prior squared error
0.4641
Root mean squared error
0.6229
Root relative squared error
1.3421
SciMark benchmark
927.3354