DEVELOPMENT... OpenML
Run
128967

Run 128967

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.829
Per class
Build CPU time
0.0115
Build memory
979599657.6
F measure
0.7805
Per class
Kappa
0.5538
KB relative information score
57.4535
Mean absolute error
0.2074
Mean prior absolute error
0.4904
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
0.7817
Per class
Predictive accuracy
0.78
Prior entropy
0.9864
Recall
0.78
Per class
Relative absolute error
0.423
Root mean prior squared error
0.4951
Root mean squared error
0.4192
Root relative squared error
0.8466
SciMark benchmark
937.9119