DEVELOPMENT... OpenML
Run
165764

Run 165764

Task 2074 (Supervised Classification) satimage 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
0.8993
Per class
F measure
0.8027
Per class
Kappa
0.7489
KB relative information score
3117.7428
Mean absolute error
0.186
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8187
Per class
Predictive accuracy
0.7947
Prior entropy
2.4836
Recall
0.7947
Per class
Relative absolute error
0.6887
Root mean prior squared error
0.3675
Root mean squared error
0.27
Root relative squared error
0.7348
SciMark benchmark
941.7954
UserCPU time millis
6600
UserCPU time millis testing
1980
UserCPU time millis training
4620