Run
140697

Run 140697

Task 1798 (Supervised Classification) postoperative-patient-data 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)_I20
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
0.3519
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.1274
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
738994522.4
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.5535
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
-0.1234
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
-56.6278
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3065
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
450
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5208
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.5978
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.5978
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
1.0678
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4899
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.3047
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
932.9956