DEVELOPMENT... OpenML
Run
128962

Run 128962

Task 3635 (Supervised Classification) fri_c1_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)_I20
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
0.8616
Per class
Build CPU time
0.0538
Build memory
1880004734.4
F measure
0.7799
Per class
Kappa
0.5556
KB relative information score
136.6818
Mean absolute error
0.225
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
0.7798
Per class
Predictive accuracy
0.78
Prior entropy
0.9934
Recall
0.78
Per class
Relative absolute error
0.4542
Root mean prior squared error
0.4977
Root mean squared error
0.4348
Root relative squared error
0.8737
SciMark benchmark
937.9119