DEVELOPMENT... OpenML
Run
166041

Run 166041

Task 3689 (Supervised Classification) fri_c1_500_10 Uploaded 18-02-2015 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)_I160
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
0.715
Per class
F measure
0.6399
Per class
Kappa
0.2714
KB relative information score
103.4059
Mean absolute error
0.4016
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6401
Per class
Predictive accuracy
0.642
Prior entropy
0.9934
Recall
0.642
Per class
Relative absolute error
0.8106
Root mean prior squared error
0.4977
Root mean squared error
0.4746
Root relative squared error
0.9537
SciMark benchmark
894.7455
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30