DEVELOPMENT... OpenML
Run
166967

Run 166967

Task 3783 (Supervised Classification) fri_c2_500_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
0.7863
Per class
F measure
0.7188
Per class
Kappa
0.4169
KB relative information score
187.8206
Mean absolute error
0.3043
Mean prior absolute error
0.4839
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7183
Per class
Predictive accuracy
0.72
Prior entropy
0.9767
Recall
0.72
Per class
Relative absolute error
0.6289
Root mean prior squared error
0.4918
Root mean squared error
0.447
Root relative squared error
0.9088
SciMark benchmark
923.7642
UserCPU time millis
410
UserCPU time millis testing
110
UserCPU time millis training
300