DEVELOPMENT... OpenML
Run
61556

Run 61556

Task 1736 (Learning Curve) diabetes Uploaded 16-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_J48(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.MultiBoostAB_J48(2)_C3
weka.MultiBoostAB_J48(2)_P100
weka.MultiBoostAB_J48(2)_S1
weka.MultiBoostAB_J48(2)_I10
weka.MultiBoostAB_J48(2)_Wweka.classifiers.trees.J48

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
0.8115 ± 0.0519
Per class
Build CPU time
0.0265
Build memory
1976804848.2
F measure
0.7732 ± 0.0407
Per class
Kappa
0.4958 ± 0.0953
KB relative information score
0.4841 ± 0.078
Mean absolute error
0.2259 ± 0.0347
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
0.7722 ± 0.039
Per class
Predictive accuracy
0.776 ± 0.0354
Prior entropy
0.9331 ± 0.0046
Recall
0.776 ± 0.0354
Per class
Relative absolute error
0.4971 ± 0.076
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4529 ± 0.0384
Root relative squared error
0.9503 ± 0.0799
SciMark benchmark
1559.5381