DEVELOPMENT... OpenML
Run
168213

Run 168213

Task 3589 (Supervised Classification) fri_c4_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
0.6711
Per class
F measure
0.6216
Per class
Kappa
0.2358
KB relative information score
157.3369
Mean absolute error
0.4272
Mean prior absolute error
0.4956
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
0.6213
Per class
Predictive accuracy
0.622
Prior entropy
0.9936
Recall
0.622
Per class
Relative absolute error
0.862
Root mean prior squared error
0.4978
Root mean squared error
0.4725
Root relative squared error
0.9492
SciMark benchmark
932.3943
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60