Run
140533

Run 140533

Task 3880 (Supervised Classification) arrhythmia Uploaded 31-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_SMO_PolyKernel(2)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(2)_I10
weka.AdaBoostM1_SMO_PolyKernel(2)_P100
weka.AdaBoostM1_SMO_PolyKernel(2)_S1
weka.AdaBoostM1_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7619
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1.2378
Cross-validation details (10-fold Crossvalidation)
Build memory
1234108840.1416
Cross-validation details (10-fold Crossvalidation)
F measure
0.7076
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4103
Cross-validation details (10-fold Crossvalidation)
KB relative information score
175.8706
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.305
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4965
Cross-validation details (10-fold Crossvalidation)
Number of instances
452
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7103
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7102
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9949
Cross-validation details (10-fold Crossvalidation)
Recall
0.7102
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6144
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4913
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9861
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.7891