DEVELOPMENT... OpenML
Run
129462

Run 129462

Task 3501 (Supervised Classification) white-clover 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
0.6525
Per class
Build CPU time
0.0216
Build memory
880801170.1587
F measure
0.551
Per class
Kappa
0.1292
KB relative information score
11.65
Mean absolute error
0.2144
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5241
Per class
Predictive accuracy
0.5873
Prior entropy
1.4097
Recall
0.5873
Per class
Relative absolute error
0.7878
Root mean prior squared error
0.3647
Root mean squared error
0.4094
Root relative squared error
1.1227
SciMark benchmark
916.8903