DEVELOPMENT... OpenML
Run
127365

Run 127365

Task 3856 (Supervised Classification) kdd_ipums_la_97-small 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)_I20
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
0.7988
Per class
Build CPU time
1.719
Build memory
1148593619.49
F measure
0.709
Per class
Kappa
0.4614
KB relative information score
1405.8138
Mean absolute error
0.3827
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8259
Per class
Predictive accuracy
0.7102
Prior entropy
0.9504
Recall
0.7102
Per class
Relative absolute error
0.8214
Root mean prior squared error
0.4827
Root mean squared error
0.4514
Root relative squared error
0.9352
SciMark benchmark
929.5397