DEVELOPMENT... OpenML
Run
125140

Run 125140

Task 1775 (Supervised Classification) balance-scale 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
0.9881
Per class
Build CPU time
0.0283
Build memory
828824058.8058
F measure
0.9069
Per class
Kappa
0.836
KB relative information score
2496.0041
Mean absolute error
0.0816
Mean prior absolute error
0.3798
Number of instances
3125
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9073
Per class
Predictive accuracy
0.9066
Prior entropy
1.3212
Recall
0.9066
Per class
Relative absolute error
0.2148
Root mean prior squared error
0.4356
Root mean squared error
0.2045
Root relative squared error
0.4696
SciMark benchmark
943.5504