DEVELOPMENT... OpenML
Run
126172

Run 126172

Task 3865 (Supervised Classification) ipums_la_98-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)_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
0.7593
Per class
Build CPU time
0.1062
Build memory
1558429043.4394
F measure
0.5356
Per class
Kappa
0.1141
KB relative information score
-21070.1862
Mean absolute error
0.5424
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9042
Per class
Predictive accuracy
0.4573
Prior entropy
0.4871
Recall
0.4573
Per class
Relative absolute error
2.8684
Root mean prior squared error
0.3074
Root mean squared error
0.7319
Root relative squared error
2.3807
SciMark benchmark
943.5504