DEVELOPMENT... OpenML
Run
168309

Run 168309

Task 3709 (Supervised Classification) breastTumor 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)_I20
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
0.6376
Per class
F measure
0.6247
Per class
Kappa
0.2274
KB relative information score
59.4986
Mean absolute error
0.3848
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
0.6238
Per class
Predictive accuracy
0.6259
Prior entropy
0.9815
Recall
0.6259
Per class
Relative absolute error
0.7899
Root mean prior squared error
0.4935
Root mean squared error
0.5569
Root relative squared error
1.1284
SciMark benchmark
945.6434
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20