DEVELOPMENT... OpenML
Run
126411

Run 126411

Task 2353 (Supervised Classification) meta_batchincremental.arff 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)_I40
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
0.7156
Per class
Build CPU time
0.32
Build memory
930727824
F measure
0.6833
Per class
Kappa
0.232
KB relative information score
3.4005
Mean absolute error
0.1677
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7284
Per class
Predictive accuracy
0.6667
Prior entropy
1.3842
Recall
0.6667
Per class
Relative absolute error
0.7456
Root mean prior squared error
0.3095
Root mean squared error
0.4025
Root relative squared error
1.3005
SciMark benchmark
943.5504