DEVELOPMENT... OpenML
Run
168205

Run 168205

Task 3581 (Supervised Classification) fri_c3_1000_25 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
0.6906
Per class
F measure
0.6698
Per class
Kappa
0.3295
KB relative information score
240.5051
Mean absolute error
0.3821
Mean prior absolute error
0.4935
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6695
Per class
Predictive accuracy
0.671
Prior entropy
0.9906
Recall
0.671
Per class
Relative absolute error
0.7743
Root mean prior squared error
0.4967
Root mean squared error
0.4862
Root relative squared error
0.9788
SciMark benchmark
932.3943
UserCPU time millis
360
UserCPU time millis testing
100
UserCPU time millis training
260