DEVELOPMENT... OpenML
Run
126529

Run 126529

Task 3599 (Supervised Classification) machine_cpu 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
0.9306
Per class
Build CPU time
0.0066
Build memory
1097850293.8947
F measure
0.9429
Per class
Kappa
0.8553
KB relative information score
169.3524
Mean absolute error
0.0724
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9434
Per class
Predictive accuracy
0.9426
Prior entropy
0.8417
Recall
0.9426
Per class
Relative absolute error
0.1841
Root mean prior squared error
0.4429
Root mean squared error
0.2271
Root relative squared error
0.5128
SciMark benchmark
943.2074