DEVELOPMENT... OpenML
Run
125179

Run 125179

Task 1823 (Supervised Classification) iris Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I160
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.9786
Per class
Build CPU time
0.0225
Build memory
712603118.4
F measure
0.9547
Per class
Kappa
0.932
KB relative information score
702.0561
Mean absolute error
0.0316
Mean prior absolute error
0.4444
Number of instances
750
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9547
Per class
Predictive accuracy
0.9547
Prior entropy
1.585
Recall
0.9547
Per class
Relative absolute error
0.071
Root mean prior squared error
0.4714
Root mean squared error
0.1704
Root relative squared error
0.3615
SciMark benchmark
937.9119