DEVELOPMENT... OpenML
Run
167330

Run 167330

Task 2138 (Supervised Classification) BNG(letter) Uploaded 19-02-2015 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)_I40
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
0.8863
Per class
F measure
0.4285
Per class
Kappa
0.4174
KB relative information score
486400.5892
Mean absolute error
0.0515
Mean prior absolute error
0.074
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4372
Per class
Predictive accuracy
0.4398
Prior entropy
4.6999
Recall
0.4398
Per class
Relative absolute error
0.696
Root mean prior squared error
0.1923
Root mean squared error
0.1666
Root relative squared error
0.8661
SciMark benchmark
942.6953
UserCPU time millis
170440
UserCPU time millis testing
81310
UserCPU time millis training
89130