DEVELOPMENT... OpenML
Run
167566

Run 167566

Task 3672 (Supervised Classification) kin8nm 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
0.8081
Per class
F measure
0.7352
Per class
Kappa
0.4703
KB relative information score
3060.0695
Mean absolute error
0.3281
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7352
Per class
Predictive accuracy
0.7352
Prior entropy
0.9998
Recall
0.7352
Per class
Relative absolute error
0.6565
Root mean prior squared error
0.4999
Root mean squared error
0.423
Root relative squared error
0.8462
SciMark benchmark
941.7954
UserCPU time millis
1060
UserCPU time millis testing
260
UserCPU time millis training
800