DEVELOPMENT... OpenML
Run
20809

Run 20809

Task 48 (Supervised Classification) heart-c Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_SMO_PolyKernel(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_SMO_PolyKernel(1)_I20
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
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
0.8542
Per class
F measure
0.8367
Per class
Kappa
0.6703
KB relative information score
132.4655
Mean absolute error
0.1146
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.842
Per class
Predictive accuracy
0.8383
Prior entropy
1.0792
Recall
0.8383
Per class
Relative absolute error
0.5721
Root mean prior squared error
0.315
Root mean squared error
0.2384
Root relative squared error
0.7569
SciMark benchmark
914.2911[540.1798449470328955.3568758013596472.597618329697885.92095749034411717.4003832341157]