DEVELOPMENT... OpenML
Run
129229

Run 129229

Task 4 (Supervised Classification) labor 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)_I40
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
0.95
Per class
Build CPU time
0.0088
Build memory
1564875636.6316
F measure
0.9117
Per class
Kappa
0.8052
KB relative information score
45.3225
Mean absolute error
0.0899
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9118
Per class
Predictive accuracy
0.9123
Prior entropy
0.9393
Recall
0.9123
Per class
Relative absolute error
0.1967
Root mean prior squared error
0.4773
Root mean squared error
0.2792
Root relative squared error
0.585
SciMark benchmark
909.5718