Run
296824

Run 296824

Task 72 (Learning Curve) breast-cancer Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.DecisionTable_BestFirst(5)Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
weka.DecisionTable_BestFirst(5)_Sweka.attributeSelection.BestFirst
weka.DecisionTable_BestFirst(5)_X1
weka.BestFirst(3)_D1
weka.BestFirst(3)_N5

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
0.6804 ± 0.1032
Per class
F measure
0.703 ± 0.073
Per class
Kappa
0.2574 ± 0.1773
KB relative information score
0.124 ± 0.1007
Mean absolute error
0.3631 ± 0.0338
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
0.7269 ± 0.0983
Per class
Predictive accuracy
0.7427 ± 0.0613
Prior entropy
0.8779 ± 0.0199
Recall
0.7427 ± 0.0613
Per class
Relative absolute error
0.8681 ± 0.078
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4311 ± 0.0365
Root relative squared error
0.9434 ± 0.0768
SciMark benchmark
1335.3721
UserCPU time millis
10
UserCPU time millis training
10