DEVELOPMENT... OpenML
Run
166194

Run 166194

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)_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
0.9845
Per class
F measure
0.9791
Per class
Kappa
0.7303
KB relative information score
7699.0548
Mean absolute error
0.0275
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
0.979
Per class
Predictive accuracy
0.9793
Prior entropy
0.2455
Recall
0.9793
Per class
Relative absolute error
0.3518
Root mean prior squared error
0.1975
Root mean squared error
0.128
Root relative squared error
0.6481
SciMark benchmark
894.7455
UserCPU time millis
10820
UserCPU time millis testing
2940
UserCPU time millis training
7880