DEVELOPMENT... OpenML
Run
166919

Run 166919

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 18-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I80
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.6221
Per class
F measure
0.5966
Per class
Kappa
0.1795
KB relative information score
40.0351
Mean absolute error
0.4094
Mean prior absolute error
0.4908
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
0.5974
Per class
Predictive accuracy
0.596
Prior entropy
0.9868
Recall
0.596
Per class
Relative absolute error
0.8341
Root mean prior squared error
0.4954
Root mean squared error
0.5885
Root relative squared error
1.188
SciMark benchmark
923.7642
UserCPU time millis
410
UserCPU time millis testing
120
UserCPU time millis training
290