DEVELOPMENT... OpenML
Run
167391

Run 167391

Task 3501 (Supervised Classification) white-clover Uploaded 19-02-2015 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)_I40
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
0.7056
Per class
F measure
0.6693
Per class
Kappa
0.3659
KB relative information score
21.7874
Mean absolute error
0.1666
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
0.6862
Per class
Predictive accuracy
0.6825
Prior entropy
1.4097
Recall
0.6825
Per class
Relative absolute error
0.6125
Root mean prior squared error
0.3647
Root mean squared error
0.394
Root relative squared error
1.0805
SciMark benchmark
943.2817
UserCPU time millis
200
UserCPU time millis testing
60
UserCPU time millis training
140