DEVELOPMENT... OpenML
Run
127824

Run 127824

Task 3707 (Supervised Classification) analcatdata_runshoes 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)_I10
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
0.7541
Per class
Build CPU time
0.0027
Build memory
1445799992.8
F measure
0.7282
Per class
Kappa
0.4286
KB relative information score
18.6327
Mean absolute error
0.3338
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.73
Per class
Predictive accuracy
0.7333
Prior entropy
0.9728
Recall
0.7333
Per class
Relative absolute error
0.6945
Root mean prior squared error
0.4899
Root mean squared error
0.4711
Root relative squared error
0.9616
SciMark benchmark
908.8705