DEVELOPMENT... OpenML
Run
125263

Run 125263

Task 3501 (Supervised Classification) white-clover 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
0.7507
Per class
Build CPU time
0.1733
Build memory
1138210128.7619
F measure
0.6889
Per class
Kappa
0.4237
KB relative information score
23.8763
Mean absolute error
0.1566
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
0.7158
Per class
Predictive accuracy
0.6984
Prior entropy
1.4097
Recall
0.6984
Per class
Relative absolute error
0.5756
Root mean prior squared error
0.3647
Root mean squared error
0.379
Root relative squared error
1.0395
SciMark benchmark
943.2074