DEVELOPMENT... OpenML
Run
168211

Run 168211

Task 3587 (Supervised Classification) pwLinear 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
0.7334
Per class
F measure
0.7046
Per class
Kappa
0.4086
KB relative information score
72.584
Mean absolute error
0.3217
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7051
Per class
Predictive accuracy
0.705
Prior entropy
0.9994
Recall
0.705
Per class
Relative absolute error
0.644
Root mean prior squared error
0.4998
Root mean squared error
0.502
Root relative squared error
1.0044
SciMark benchmark
932.3943
UserCPU time millis
70
UserCPU time millis testing
20
UserCPU time millis training
50