DEVELOPMENT... OpenML
Run
127011

Run 127011

Task 2355 (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)_I20
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
0.8856
Per class
Build CPU time
0.01
Build memory
1042635704
F measure
0.9148
Per class
Kappa
0.8161
KB relative information score
18.305
Mean absolute error
0.0437
Mean prior absolute error
0.2324
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.925
Per class
Predictive accuracy
0.9167
Prior entropy
1.3146
Recall
0.9167
Per class
Relative absolute error
0.188
Root mean prior squared error
0.3388
Root mean squared error
0.2046
Root relative squared error
0.6039
SciMark benchmark
937.9119