Run
142475

Run 142475

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 06-01-2015 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)_I160
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
0.3534
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.1957
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
270982946.4
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.5507
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
-0.1296
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
-56.2
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3063
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
0.5187
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.5933
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.5933
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
1.0672
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
0.4907
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.307
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
932.2022