DEVELOPMENT... OpenML
Run
125210

Run 125210

Task 2275 (Supervised Classification) meta_instanceincremental.arff 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
0.7615
Per class
Build CPU time
0.0341
Build memory
763281929.7297
F measure
0.8293
Per class
Kappa
0.592
KB relative information score
34.0748
Mean absolute error
0.1322
Mean prior absolute error
0.2277
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8482
Per class
Predictive accuracy
0.8243
Prior entropy
1.3146
Recall
0.8243
Per class
Relative absolute error
0.5809
Root mean prior squared error
0.3317
Root mean squared error
0.2853
Root relative squared error
0.8601
SciMark benchmark
937.9119