Run
296816

Run 296816

Task 64 (Learning Curve) labor 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
0.8516 ± 0.1496
Per class
F measure
0.8052 ± 0.1622
Per class
Kappa
0.572 ± 0.3484
KB relative information score
0.4048 ± 0.243
Mean absolute error
0.2819 ± 0.0956
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.805 ± 0.1509
Per class
Predictive accuracy
0.8053 ± 0.1608
Prior entropy
0.9349 ± 0.0618
Recall
0.8053 ± 0.1608
Per class
Relative absolute error
0.6167 ± 0.2089
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.3795 ± 0.1175
Root relative squared error
0.7952 ± 0.2475
SciMark benchmark
1337.9038