DEVELOPMENT... OpenML
Run
17684

Run 17684

Task 37 (Supervised Classification) diabetes Uploaded 09-06-2014 by Felicia West
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Flow

weka.Bagging_RandomForest(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(1)_I10
weka.Bagging_RandomForest(1)_P100
weka.Bagging_RandomForest(1)_S1
weka.Bagging_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(1)_num-slots1
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8313
Per class
F measure
0.7574
Per class
Kappa
0.4592
KB relative information score
256.0291
Mean absolute error
0.3076
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
0.7565
Per class
Predictive accuracy
0.7617
Prior entropy
0.9335
Recall
0.7617
Per class
Relative absolute error
0.6768
Root mean prior squared error
0.4766
Root mean squared error
0.3969
Root relative squared error
0.8326
SciMark benchmark
945.7779[564.29653665317711012.8541257252805479.3490265306122911.80521739130441760.5845701777503]