DEVELOPMENT... OpenML
Run
127265

Run 127265

Task 3753 (Supervised Classification) cloud 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)_I20
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
0.4597
Per class
Build CPU time
0.0037
Build memory
733095928.4444
F measure
0.5613
Per class
Kappa
-0.0993
KB relative information score
-10.4373
Mean absolute error
0.4358
Mean prior absolute error
0.4185
Number of instances
108
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5271
Per class
Predictive accuracy
0.6204
Prior entropy
0.8813
Recall
0.6204
Per class
Relative absolute error
1.0414
Root mean prior squared error
0.4566
Root mean squared error
0.499
Root relative squared error
1.0928
SciMark benchmark
908.8705