Run
296846

Run 296846

Task 96 (Learning Curve) diabetes 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
0.7927 ± 0.0552
Per class
F measure
0.7376 ± 0.0497
Per class
Kappa
0.4141 ± 0.1124
KB relative information score
0.2719 ± 0.0674
Mean absolute error
0.3355 ± 0.0264
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7365 ± 0.051
Per class
Predictive accuracy
0.743 ± 0.047
Prior entropy
0.9331 ± 0.0044
Recall
0.743 ± 0.047
Per class
Relative absolute error
0.7381 ± 0.0582
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4155 ± 0.0291
Root relative squared error
0.8717 ± 0.0612
SciMark benchmark
1331.3129
UserCPU time millis
30
UserCPU time millis training
30