Run
303986

Run 303986

Task 72 (Learning Curve) breast-cancer Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_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
0.7022 ± 0.0989
Per class
F measure
0.7158 ± 0.0721
Per class
Kappa
0.3017 ± 0.1703
KB relative information score
0.197 ± 0.1356
Mean absolute error
0.3258 ± 0.0487
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7117 ± 0.08
Per class
Predictive accuracy
0.7262 ± 0.0694
Prior entropy
0.8779 ± 0.0199
Recall
0.7262 ± 0.0694
Per class
Relative absolute error
0.7788 ± 0.1142
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4539 ± 0.0554
Root relative squared error
0.9932 ± 0.1191
SciMark benchmark
1318.3496