Run
47193

Run 47193

Task 1736 (Learning Curve) diabetes Uploaded 05-11-2014 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.RealAdaBoost_RandomTree(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.RealAdaBoost_RandomTree(1)_P100
weka.RealAdaBoost_RandomTree(1)_H1.0
weka.RealAdaBoost_RandomTree(1)_S1
weka.RealAdaBoost_RandomTree(1)_I10
weka.RealAdaBoost_RandomTree(1)_Wweka.classifiers.trees.RandomTree

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
0.7363 ± 0.0407
Per class
Build CPU time
0.0133
Build memory
640636946.1
F measure
0.7293 ± 0.0397
Per class
Kappa
0.3947 ± 0.0924
KB relative information score
0.3894 ± 0.0793
Mean absolute error
0.267 ± 0.034
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7283 ± 0.04
Per class
Predictive accuracy
0.7357 ± 0.0367
Prior entropy
0.9331 ± 0.0046
Recall
0.7357 ± 0.0367
Per class
Relative absolute error
0.5876 ± 0.0753
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5017 ± 0.0352
Root relative squared error
1.0525 ± 0.0746
SciMark benchmark
1932.1045