DEVELOPMENT... OpenML
Run
126513

Run 126513

Task 3513 (Supervised Classification) ipums_la_99-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)_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
0.9032
Per class
Build CPU time
11.8563
Build memory
1161753651.0773
F measure
0.7673
Per class
Kappa
0.572
KB relative information score
4203.4802
Mean absolute error
0.0686
Mean prior absolute error
0.1558
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7763
Per class
Predictive accuracy
0.7603
Prior entropy
1.7594
Recall
0.7603
Per class
Relative absolute error
0.4402
Root mean prior squared error
0.2791
Root mean squared error
0.2582
Root relative squared error
0.9252
SciMark benchmark
937.9119