DEVELOPMENT... OpenML
Run
166993

Run 166993

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.8676
Per class
F measure
0.9775
Per class
Kappa
0.6935
KB relative information score
352.79
Mean absolute error
0.0198
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9807
Per class
Predictive accuracy
0.9803
Prior entropy
0.2628
Recall
0.9803
Per class
Relative absolute error
0.2364
Root mean prior squared error
0.2027
Root mean squared error
0.1403
Root relative squared error
0.6919
SciMark benchmark
945.6434
UserCPU time millis
10
UserCPU time millis training
10