Run
21580

Run 21580

Task 26 (Supervised Classification) nursery Uploaded 19-06-2014 by Joaquin Vanschoren
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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)_I80
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
0.9872
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9303
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8981
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11410.1018
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0383
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.9302
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9306
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1403
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1549
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4194
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.4149[553.9030419466465994.8141311039286474.8968876378323911.17132945493631762.2889234168845]