Run
296866

Run 296866

Task 116 (Learning Curve) ionosphere 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
0.8963 ± 0.0638
Per class
F measure
0.8845 ± 0.0541
Per class
Kappa
0.7462 ± 0.1191
KB relative information score
0.618 ± 0.0937
Mean absolute error
0.1889 ± 0.0398
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8865 ± 0.0534
Per class
Predictive accuracy
0.8863 ± 0.0524
Prior entropy
0.9418 ± 0.0113
Recall
0.8863 ± 0.0524
Per class
Relative absolute error
0.4102 ± 0.0862
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3112 ± 0.06
Root relative squared error
0.6487 ± 0.1247
SciMark benchmark
1383.5029
UserCPU time millis
70
UserCPU time millis training
70