DEVELOPMENT... OpenML
Run
125133

Run 125133

Task 1766 (Supervised Classification) anneal 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
0.9671
Per class
Build CPU time
0.169
Build memory
787391556
F measure
0.906
Per class
Kappa
0.7788
KB relative information score
3322.7938
Mean absolute error
0.0374
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9187
Per class
Predictive accuracy
0.9018
Prior entropy
1.2149
Recall
0.9018
Per class
Relative absolute error
0.2786
Root mean prior squared error
0.2582
Root mean squared error
0.1625
Root relative squared error
0.6292
SciMark benchmark
937.9119