DEVELOPMENT... OpenML
Run
168360

Run 168360

Task 3827 (Supervised Classification) pasture 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)_I20
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
0.8056
Per class
F measure
0.8074
Per class
Kappa
0.5714
KB relative information score
19.384
Mean absolute error
0.1952
Mean prior absolute error
0.4474
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8105
Per class
Predictive accuracy
0.8056
Prior entropy
0.9268
Recall
0.8056
Per class
Relative absolute error
0.4364
Root mean prior squared error
0.4715
Root mean squared error
0.441
Root relative squared error
0.9353
SciMark benchmark
945.6434
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20