DEVELOPMENT... OpenML
Run
18889

Run 18889

Task 42 (Supervised Classification) haberman Uploaded 11-06-2014 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)_I40
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
0.5893
Per class
F measure
0.6419
Per class
Kappa
0.0402
KB relative information score
67.3582
Mean absolute error
0.2785
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7036
Per class
Predictive accuracy
0.7386
Prior entropy
0.836
Recall
0.7386
Per class
Relative absolute error
0.7142
Root mean prior squared error
0.4412
Root mean squared error
0.4838
Root relative squared error
1.0966
SciMark benchmark
924.9958[552.4993994838438992.2528810804944467.04737876123704879.97318873380521733.2063769163399]