DEVELOPMENT... OpenML
Run
168703

Run 168703

Task 3672 (Supervised Classification) kin8nm Uploaded 20-02-2015 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)_I10
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
0.8133
Per class
F measure
0.7368
Per class
Kappa
0.4735
KB relative information score
3879.5175
Mean absolute error
0.2632
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
0.7368
Per class
Predictive accuracy
0.7368
Prior entropy
0.9998
Recall
0.7368
Per class
Relative absolute error
0.5266
Root mean prior squared error
0.4999
Root mean squared error
0.4933
Root relative squared error
0.9867
SciMark benchmark
931.2336
UserCPU time millis
920
UserCPU time millis testing
260
UserCPU time millis training
660