DEVELOPMENT... OpenML
Run
126241

Run 126241

Task 18 (Supervised Classification) mfeat-morphological 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)_I40
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
0.8567
Per class
Build CPU time
0.1699
Build memory
347200002.4
F measure
0.6798
Per class
Kappa
0.6594
KB relative information score
600.3167
Mean absolute error
0.1573
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
0.6917
Per class
Predictive accuracy
0.6935
Prior entropy
3.3219
Recall
0.6935
Per class
Relative absolute error
0.8741
Root mean prior squared error
0.3
Root mean squared error
0.2652
Root relative squared error
0.8841
SciMark benchmark
929.5397