DEVELOPMENT... OpenML
Run
48977

Run 48977

Task 1715 (Learning Curve) mfeat-karhunen Uploaded 06-11-2014 by Jason
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9955 ± 0.0018
Per class
Build CPU time
1.0029
Build memory
1604772736.3636
F measure
0.9445 ± 0.0174
Per class
Kappa
0.9383 ± 0.0191
KB relative information score
0.9452 ± 0.0147
Mean absolute error
0.0116 ± 0.0029
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9447 ± 0.0172
Per class
Predictive accuracy
0.9445 ± 0.0172
Prior entropy
3.3219
Recall
0.9445 ± 0.0172
Per class
Relative absolute error
0.0646 ± 0.0159
Root mean prior squared error
0.3
Root mean squared error
0.0973 ± 0.0134
Root relative squared error
0.3245 ± 0.0447
SciMark benchmark
1684.48