DEVELOPMENT... OpenML
Run
128839

Run 128839

Task 3059 (Supervised Classification) pasture 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
0.9
Per class
Build CPU time
0.004
Build memory
1420147408
F measure
0.8333
Per class
Kappa
0.7027
KB relative information score
8.1057
Mean absolute error
0.1306
Mean prior absolute error
0.4444
Number of instances
11
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9394
Per class
Predictive accuracy
0.8182
Prior entropy
1.585
Recall
0.8182
Per class
Relative absolute error
0.2938
Root mean prior squared error
0.4714
Root mean squared error
0.3345
Root relative squared error
0.7096
SciMark benchmark
909.5718