DEVELOPMENT... OpenML
Run
125643

Run 125643

Task 16 (Supervised Classification) mfeat-karhunen 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)_I80
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
0.9694
Per class
Build CPU time
37.2887
Build memory
720087879.2
F measure
0.9265
Per class
Kappa
0.9178
KB relative information score
1847.0429
Mean absolute error
0.0148
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9277
Per class
Predictive accuracy
0.926
Prior entropy
3.3219
Recall
0.926
Per class
Relative absolute error
0.0822
Root mean prior squared error
0.3
Root mean squared error
0.1203
Root relative squared error
0.4011
SciMark benchmark
943.5504

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