DEVELOPMENT... OpenML
Run
15436

Run 15436

Task 42 (Supervised Classification) haberman Uploaded 04-06-2014 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)_I40
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
0.6463
Per class
F measure
0.6809
Per class
Kappa
0.1298
KB relative information score
14.2379
Mean absolute error
0.3563
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
0.6779
Per class
Predictive accuracy
0.7255
Prior entropy
0.836
Recall
0.7255
Per class
Relative absolute error
0.9136
Root mean prior squared error
0.4412
Root mean squared error
0.4363
Root relative squared error
0.989
SciMark benchmark
937.6951[562.29550002336991010.7290353138892468.4737338949654902.69978499306011744.2776301949953]