Run
296831

Run 296831

Task 63 (Learning Curve) kr-vs-kp 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
0.9852 ± 0.0056
Per class
F measure
0.9731 ± 0.0085
Per class
Kappa
0.9461 ± 0.0171
KB relative information score
0.8721 ± 0.0154
Mean absolute error
0.0755 ± 0.0075
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9732 ± 0.0085
Per class
Predictive accuracy
0.9731 ± 0.0085
Prior entropy
0.9986 ± 0.0002
Recall
0.9731 ± 0.0085
Per class
Relative absolute error
0.1514 ± 0.0151
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1615 ± 0.0211
Root relative squared error
0.3234 ± 0.0423
SciMark benchmark
1322.4917
UserCPU time millis
1050
UserCPU time millis testing
10
UserCPU time millis training
1040