Run
19015

Run 19015

Task 27 (Supervised Classification) colic Uploaded 12-06-2014 by Joaquin Vanschoren
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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
0.8331
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7966
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5646
Cross-validation details (10-fold Crossvalidation)
KB relative information score
184.7078
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.232
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.7972
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7962
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.7962
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4096
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8485
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.0367[561.57136831653141014.4538012229739483.6674820550281909.90626928802961760.5845701777503]