DEVELOPMENT... OpenML
Run
125489

Run 125489

Task 3781 (Supervised Classification) fri_c4_250_50 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)_I160
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
0.6128
Per class
Build CPU time
0.2691
Build memory
1610734880.8
F measure
0.5961
Per class
Kappa
0.1873
KB relative information score
38.556
Mean absolute error
0.4217
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5963
Per class
Predictive accuracy
0.596
Prior entropy
0.9955
Recall
0.596
Per class
Relative absolute error
0.8488
Root mean prior squared error
0.4984
Root mean squared error
0.5807
Root relative squared error
1.1652
SciMark benchmark
943.5504