DEVELOPMENT... OpenML
Run
125634

Run 125634

Task 9 (Supervised Classification) autos 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)_I80
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
0.7951
Per class
Build CPU time
0.0417
Build memory
856916495.2976
F measure
0.5482
Per class
Kappa
0.4235
KB relative information score
39.6733
Mean absolute error
0.2091
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5683
Per class
Predictive accuracy
0.5463
Prior entropy
2.3268
Recall
0.5463
Per class
Relative absolute error
0.9464
Root mean prior squared error
0.3318
Root mean squared error
0.3092
Root relative squared error
0.9319
SciMark benchmark
943.5504