Run
296829

Run 296829

Task 77 (Learning Curve) mfeat-morphological 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
0.9499 ± 0.0067
Per class
F measure
0.6688 ± 0.0273
Per class
Kappa
0.6441 ± 0.0294
KB relative information score
0.6344 ± 0.0351
Mean absolute error
0.0984 ± 0.0069
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
0.6737 ± 0.034
Per class
Predictive accuracy
0.6797 ± 0.0264
Prior entropy
3.3219
Recall
0.6797 ± 0.0264
Per class
Relative absolute error
0.5469 ± 0.0381
Root mean prior squared error
0.3
Root mean squared error
0.2068 ± 0.0067
Root relative squared error
0.6893 ± 0.0223
SciMark benchmark
1383.5029
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60