DEVELOPMENT... OpenML
Run
130257

Run 130257

Task 3741 (Supervised Classification) fri_c2_250_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)_I80
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
0.882
Per class
Build CPU time
0.2296
Build memory
860828556
F measure
0.7918
Per class
Kappa
0.5795
KB relative information score
146.472
Mean absolute error
0.2036
Mean prior absolute error
0.4954
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
0.7918
Per class
Predictive accuracy
0.792
Prior entropy
0.9934
Recall
0.792
Per class
Relative absolute error
0.4109
Root mean prior squared error
0.4977
Root mean squared error
0.4388
Root relative squared error
0.8816
SciMark benchmark
939.0159