DEVELOPMENT... OpenML
Run
125436

Run 125436

Task 3718 (Supervised Classification) boston 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
0.911
Per class
Build CPU time
0.0534
Build memory
694428403.2411
F measure
0.8327
Per class
Kappa
0.6567
KB relative information score
292.0617
Mean absolute error
0.2117
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8344
Per class
Predictive accuracy
0.832
Prior entropy
0.9782
Recall
0.832
Per class
Relative absolute error
0.4366
Root mean prior squared error
0.4924
Root mean squared error
0.3407
Root relative squared error
0.6919
SciMark benchmark
909.5718