DEVELOPMENT... OpenML
Run
125442

Run 125442

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.7889
Per class
Build CPU time
0.0106
Build memory
1667472591.7241
F measure
0.6897
Per class
Kappa
0.3791
KB relative information score
32.7473
Mean absolute error
0.3151
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.69
Per class
Predictive accuracy
0.6897
Prior entropy
0.9992
Recall
0.6897
Per class
Relative absolute error
0.6309
Root mean prior squared error
0.4997
Root mean squared error
0.4695
Root relative squared error
0.9396
SciMark benchmark
943.5504

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