DEVELOPMENT... OpenML
Run
50557

Run 50557

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.ADTree(2)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1

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
0.8133 ± 0.0514
Per class
Build CPU time
0.0076
Build memory
108697946.5
F measure
0.7575 ± 0.0371
Per class
Kappa
0.4559 ± 0.0842
KB relative information score
0.2274 ± 0.0542
Mean absolute error
0.3575 ± 0.0211
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
0.7598 ± 0.0343
Per class
Predictive accuracy
0.7656 ± 0.0313
Prior entropy
0.9331 ± 0.0046
Recall
0.7656 ± 0.0313
Per class
Relative absolute error
0.7867 ± 0.0461
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4109 ± 0.0219
Root relative squared error
0.8621 ± 0.0457
SciMark benchmark
1648.2431