DEVELOPMENT... OpenML
Run
168466

Run 168466

Task 6 (Supervised Classification) 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)_I10
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
0.8576
Per class
F measure
0.6384
Per class
Kappa
0.6275
KB relative information score
9522.4544
Mean absolute error
0.0553
Mean prior absolute error
0.074
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
0.6561
Per class
Predictive accuracy
0.6418
Prior entropy
4.6998
Recall
0.6418
Per class
Relative absolute error
0.7473
Root mean prior squared error
0.1923
Root mean squared error
0.1544
Root relative squared error
0.8027
SciMark benchmark
945.6434
UserCPU time millis
46540
UserCPU time millis testing
16880
UserCPU time millis training
29660