DEVELOPMENT... OpenML
Run
166170

Run 166170

Task 3818 (Supervised Classification) tae 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
0.6588
Per class
F measure
0.6621
Per class
Kappa
0.233
KB relative information score
19.6559
Mean absolute error
0.3927
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6632
Per class
Predictive accuracy
0.6821
Prior entropy
0.9308
Recall
0.6821
Per class
Relative absolute error
0.8684
Root mean prior squared error
0.4752
Root mean squared error
0.4702
Root relative squared error
0.9895
SciMark benchmark
894.7455
UserCPU time millis
10
UserCPU time millis training
10