DEVELOPMENT... OpenML
Run
75208

Run 75208

Task 37 (Supervised Classification) diabetes Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
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
0.8357
Per class
Build CPU time
2.1005
Build memory
1655005770.2292
F measure
0.7662
Per class
Kappa
0.4797
KB relative information score
258.0272
Mean absolute error
0.3069
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
0.7652
Per class
Predictive accuracy
0.7695
Prior entropy
0.9335
Recall
0.7695
Per class
Relative absolute error
0.6754
Root mean prior squared error
0.4766
Root mean squared error
0.394
Root relative squared error
0.8265
SciMark benchmark
902.1764