DEVELOPMENT... OpenML
Run
128726

Run 128726

Task 289 (Supervised Classification) iris 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
0.962
Per class
Build CPU time
0.004
Build memory
553252456
F measure
0.875
Per class
Kappa
0.8172
KB relative information score
41.5429
Mean absolute error
0.0741
Mean prior absolute error
0.4444
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9109
Per class
Predictive accuracy
0.8776
Prior entropy
1.585
Recall
0.8776
Per class
Relative absolute error
0.1667
Root mean prior squared error
0.4714
Root mean squared error
0.2633
Root relative squared error
0.5585
SciMark benchmark
929.5397