DEVELOPMENT... OpenML
Run
20634

Run 20634

Task 37 (Supervised Classification) diabetes Uploaded 18-06-2014 by Felicia West
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Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I20
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.7576
Per class
F measure
0.7619
Per class
Kappa
0.4647
KB relative information score
356.7322
Mean absolute error
0.235
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
0.7678
Per class
Predictive accuracy
0.7721
Prior entropy
0.9335
Recall
0.7721
Per class
Relative absolute error
0.517
Root mean prior squared error
0.4766
Root mean squared error
0.4546
Root relative squared error
0.9538
SciMark benchmark
944.7724[564.6619124438491012.0562417272014473.43111305208095910.85475360997441762.8577294742872]