DEVELOPMENT... OpenML
Run
166677

Run 166677

Task 3501 (Supervised Classification) white-clover 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
0.708
Per class
F measure
0.6708
Per class
Kappa
0.3716
KB relative information score
21.9706
Mean absolute error
0.1654
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.689
Per class
Predictive accuracy
0.6825
Prior entropy
1.4097
Recall
0.6825
Per class
Relative absolute error
0.608
Root mean prior squared error
0.3647
Root mean squared error
0.3897
Root relative squared error
1.0687
SciMark benchmark
943.2817
UserCPU time millis
420
UserCPU time millis testing
140
UserCPU time millis training
280