DEVELOPMENT... OpenML
Run
125536

Run 125536

Task 3831 (Supervised Classification) analcatdata_birthday 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
0.7788
Per class
Build CPU time
0.0183
Build memory
3483259183.9781
F measure
0.8329
Per class
Kappa
0.3164
KB relative information score
75.7894
Mean absolute error
0.1596
Mean prior absolute error
0.2496
Number of instances
365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8305
Per class
Predictive accuracy
0.8356
Prior entropy
0.6026
Recall
0.8356
Per class
Relative absolute error
0.6394
Root mean prior squared error
0.3523
Root mean squared error
0.3653
Root relative squared error
1.0369
SciMark benchmark
943.2074