DEVELOPMENT... OpenML
Run
128000

Run 128000

Task 3905 (Supervised Classification) mc2 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
0.7013
Per class
Build CPU time
0.0447
Build memory
1382945135.2547
F measure
0.7128
Per class
Kappa
0.3306
KB relative information score
34.2784
Mean absolute error
0.3402
Mean prior absolute error
0.4381
Number of instances
161
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7099
Per class
Predictive accuracy
0.7205
Prior entropy
0.9099
Recall
0.7205
Per class
Relative absolute error
0.7766
Root mean prior squared error
0.4676
Root mean squared error
0.4476
Root relative squared error
0.9572
SciMark benchmark
908.8705