DEVELOPMENT... OpenML
Run
167797

Run 167797

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)_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
0.8177
Per class
F measure
0.7778
Per class
Kappa
0.5
KB relative information score
17.4299
Mean absolute error
0.2174
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
0.7778
Per class
Predictive accuracy
0.7778
Prior entropy
0.9268
Recall
0.7778
Per class
Relative absolute error
0.486
Root mean prior squared error
0.4715
Root mean squared error
0.4587
Root relative squared error
0.9729
SciMark benchmark
941.7954
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40