DEVELOPMENT... OpenML
Run
22660

Run 22660

Task 37 (Supervised Classification) diabetes Uploaded 22-06-2014 by Felicia West
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Flow

weka.Bagging_LMT(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(1)_I80
weka.Bagging_LMT(1)_P100
weka.Bagging_LMT(1)_S1
weka.Bagging_LMT(1)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(1)_num-slots1
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.8332
Per class
F measure
0.7588
Per class
Kappa
0.464
KB relative information score
268.2671
Mean absolute error
0.2987
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
0.7576
Per class
Predictive accuracy
0.7617
Prior entropy
0.9335
Recall
0.7617
Per class
Relative absolute error
0.6572
Root mean prior squared error
0.4766
Root mean squared error
0.3968
Root relative squared error
0.8326
SciMark benchmark
930.0714[558.8723522008845995.3279441059238474.8968876378323898.98494494214911722.2747798055427]