DEVELOPMENT... OpenML
Run
167024

Run 167024

Task 3840 (Supervised Classification) letter 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)_I80
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
0.9838
Per class
F measure
0.9794
Per class
Kappa
0.7339
KB relative information score
8000.0084
Mean absolute error
0.0268
Mean prior absolute error
0.078
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9793
Per class
Predictive accuracy
0.9796
Prior entropy
0.2455
Recall
0.9796
Per class
Relative absolute error
0.3439
Root mean prior squared error
0.1975
Root mean squared error
0.1277
Root relative squared error
0.6469
SciMark benchmark
923.7642
UserCPU time millis
11120
UserCPU time millis testing
2910
UserCPU time millis training
8210