DEVELOPMENT... OpenML
Run
166865

Run 166865

Task 3683 (Supervised Classification) diggle_table_a2 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
0.995
Per class
F measure
0.9839
Per class
Kappa
0.9676
KB relative information score
295.4775
Mean absolute error
0.0253
Mean prior absolute error
0.4979
Number of instances
310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9839
Per class
Predictive accuracy
0.9839
Prior entropy
0.997
Recall
0.9839
Per class
Relative absolute error
0.0509
Root mean prior squared error
0.499
Root mean squared error
0.1155
Root relative squared error
0.2314
SciMark benchmark
923.7642
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30