DEVELOPMENT... OpenML
Run
166068

Run 166068

Task 3716 (Supervised Classification) tecator 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
0.9706
Per class
F measure
0.9248
Per class
Kappa
0.8458
KB relative information score
190.946
Mean absolute error
0.1045
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9251
Per class
Predictive accuracy
0.925
Prior entropy
0.984
Recall
0.925
Per class
Relative absolute error
0.2138
Root mean prior squared error
0.4943
Root mean squared error
0.2515
Root relative squared error
0.5087
SciMark benchmark
894.7455
UserCPU time millis
1030
UserCPU time millis testing
300
UserCPU time millis training
730