DEVELOPMENT... OpenML
Run
168297

Run 168297

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)_I20
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
0.7949
Per class
F measure
0.736
Per class
Kappa
0.4718
KB relative information score
3406.0111
Mean absolute error
0.3011
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
0.736
Per class
Predictive accuracy
0.736
Prior entropy
0.9998
Recall
0.736
Per class
Relative absolute error
0.6023
Root mean prior squared error
0.4999
Root mean squared error
0.4425
Root relative squared error
0.8851
SciMark benchmark
945.6434
UserCPU time millis
1910
UserCPU time millis testing
520
UserCPU time millis training
1390