DEVELOPMENT... OpenML
Run
168739

Run 168739

Task 3709 (Supervised Classification) breastTumor Uploaded 20-02-2015 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
0.6425
Per class
F measure
0.6368
Per class
Kappa
0.2551
KB relative information score
62.3758
Mean absolute error
0.3787
Mean prior absolute error
0.4872
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6372
Per class
Predictive accuracy
0.6364
Prior entropy
0.9815
Recall
0.6364
Per class
Relative absolute error
0.7775
Root mean prior squared error
0.4935
Root mean squared error
0.5627
Root relative squared error
1.1402
SciMark benchmark
927.0753
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10