DEVELOPMENT... OpenML
Run
165830

Run 165830

Task 3021 (Supervised Classification) sick Uploaded 17-02-2015 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
0.9142
Per class
F measure
0.9439
Per class
Kappa
0.5325
KB relative information score
155.0533
Mean absolute error
0.0736
Mean prior absolute error
0.1152
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9467
Per class
Predictive accuracy
0.9417
Prior entropy
0.3333
Recall
0.9417
Per class
Relative absolute error
0.6391
Root mean prior squared error
0.2398
Root mean squared error
0.2063
Root relative squared error
0.8603
SciMark benchmark
911.3823
UserCPU time millis
710
UserCPU time millis testing
180
UserCPU time millis training
530