DEVELOPMENT... OpenML
Run
166119

Run 166119

Task 3767 (Supervised Classification) fri_c0_1000_50 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
0.9243
Per class
F measure
0.852
Per class
Kappa
0.704
KB relative information score
679.8448
Mean absolute error
0.1621
Mean prior absolute error
0.4998
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
0.8521
Per class
Predictive accuracy
0.852
Prior entropy
0.9997
Recall
0.852
Per class
Relative absolute error
0.3244
Root mean prior squared error
0.4999
Root mean squared error
0.357
Root relative squared error
0.7141
SciMark benchmark
894.7455
UserCPU time millis
2670
UserCPU time millis testing
750
UserCPU time millis training
1920