Run
297048

Run 297048

Task 71 (Learning Curve) mfeat-factors 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
0.9349 ± 0.0114
Per class
F measure
0.6792 ± 0.0339
Per class
Kappa
0.6417 ± 0.0371
KB relative information score
0.5045 ± 0.0287
Mean absolute error
0.1211 ± 0.0045
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6864 ± 0.0337
Per class
Predictive accuracy
0.6776 ± 0.0334
Prior entropy
3.3219
Recall
0.6776 ± 0.0334
Per class
Relative absolute error
0.673 ± 0.0251
Root mean prior squared error
0.3
Root mean squared error
0.2272 ± 0.0063
Root relative squared error
0.7572 ± 0.0209
SciMark benchmark
1354.3161
UserCPU time millis
5850
UserCPU time millis testing
20
UserCPU time millis training
5830