DEVELOPMENT... OpenML
Run
165677

Run 165677

Task 20 (Supervised Classification) mfeat-pixel Uploaded 17-02-2015 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)_I160
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
0.9658
Per class
F measure
0.9327
Per class
Kappa
0.9256
KB relative information score
1860.4354
Mean absolute error
0.0134
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9338
Per class
Predictive accuracy
0.933
Prior entropy
3.3219
Recall
0.933
Per class
Relative absolute error
0.0744
Root mean prior squared error
0.3
Root mean squared error
0.1154
Root relative squared error
0.3846
SciMark benchmark
943.2817
UserCPU time millis
120590
UserCPU time millis testing
55860
UserCPU time millis training
64730