DEVELOPMENT... OpenML
Run
166127

Run 166127

Task 3775 (Supervised Classification) fri_c2_1000_5 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
0.8667
Per class
F measure
0.8055
Per class
Kappa
0.6007
KB relative information score
442.7332
Mean absolute error
0.2839
Mean prior absolute error
0.4859
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
0.8063
Per class
Predictive accuracy
0.805
Prior entropy
0.9796
Recall
0.805
Per class
Relative absolute error
0.5843
Root mean prior squared error
0.4929
Root mean squared error
0.3772
Root relative squared error
0.7652
SciMark benchmark
894.7455
UserCPU time millis
70
UserCPU time millis testing
20
UserCPU time millis training
50