Run
54929

Run 54929

Task 1736 (Learning Curve) diabetes Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.ClassificationViaRegression_M5P(2)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.M5P(2)_M4.0
weka.ClassificationViaRegression_M5P(2)_Wweka.classifiers.trees.M5P

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.

21 Evaluation measures

Area under ROC curve
0.826 ± 0.0448
Per class
Build CPU time
0.0352
Build memory
508610575.2
F measure
0.7528 ± 0.063
Per class
Kappa
0.4459 ± 0.1412
KB relative information score
0.2975 ± 0.0462
Mean absolute error
0.3249 ± 0.0166
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7541 ± 0.061
Per class
Predictive accuracy
0.7604 ± 0.0571
Prior entropy
0.9331 ± 0.0046
Recall
0.7604 ± 0.0571
Per class
Relative absolute error
0.7149 ± 0.0363
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.3996 ± 0.0242
Root relative squared error
0.8383 ± 0.0501
SciMark benchmark
1606.2579