DEVELOPMENT... OpenML
Run
167204

Run 167204

Task 13 (Supervised Classification) breast-cancer 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)_I40
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
0.6794
Per class
Kappa
0.2151
KB relative information score
44.1469
Mean absolute error
0.3382
Mean prior absolute error
0.4183
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
0.6737
Per class
Predictive accuracy
0.6888
Prior entropy
0.8796
Recall
0.6888
Per class
Relative absolute error
0.8086
Root mean prior squared error
0.457
Root mean squared error
0.4806
Root relative squared error
1.0516
SciMark benchmark
945.6434
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10