DEVELOPMENT... OpenML
Run
131058

Run 131058

Task 37 (Supervised Classification) diabetes Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.8279
Per class
Build CPU time
0.2841
Build memory
1393185671.6563
F measure
0.7647
Per class
Kappa
0.4763
KB relative information score
257.6479
Mean absolute error
0.3057
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7637
Per class
Predictive accuracy
0.7682
Prior entropy
0.9335
Recall
0.7682
Per class
Relative absolute error
0.6726
Root mean prior squared error
0.4766
Root mean squared error
0.3989
Root relative squared error
0.837
SciMark benchmark
937.5757