Run
10416495

Run 10416495

Task 167140 (Supervised Classification) dna Uploaded 11-10-2019 by Jan van Rijn
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  • ReproducibleBenchmark weka weka_3.4.3
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Flow

weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBF Kernel,weka.classifiers.functions.Logistic)(1)J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, 1998. S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, K.R.K. Murthy (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. 13(3):637-649. Trevor Hastie, Robert Tibshirani: Classification by Pairwise Coupling. In: Advances in Neural Information Processing Systems, 1998.
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_no-checks["false"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_C["1.0"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_N["0"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_L["0.001"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_P["1.0E-12"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_M["false"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_V["-1"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_W["1"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_K["weka.classifiers.functions.supportVector.RBFKernel"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_calibrator["weka.classifiers.functions.Logistic"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_output-debug-info["false"]
weka.classifiers.functions.SMO(weka.classifiers.functions.supportVector.RBFKernel,weka.classifiers.functions.Logistic)(1)_-do-not-check-capabilities["false"]
weka.classifiers.functions.supportVector.RBFKernel(1)_C["250007"]
weka.classifiers.functions.supportVector.RBFKernel(1)_G["0.01"]
weka.classifiers.functions.supportVector.RBFKernel(1)_output-debug-info["false"]
weka.classifiers.functions.Logistic(1)_C["false"]
weka.classifiers.functions.Logistic(1)_R["1.0E-8"]
weka.classifiers.functions.Logistic(1)_M["-1"]
weka.classifiers.functions.Logistic(1)_output-debug-info["false"]
weka.classifiers.functions.Logistic(1)_-do-not-check-capabilities["false"]
weka.classifiers.functions.Logistic(1)_num-decimal-places["4"]

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.

18 Evaluation measures

0.9747 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
0.9569 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
0.93 ± 0.0197
Cross-validation details (10-fold Crossvalidation)
0.5753 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
0.233 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
0.41 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
3186
Per class
Cross-validation details (10-fold Crossvalidation)
['Oracle Corporation', '1.8.0_222', 'amd64', 'Linux', '3.10.0-1062.1.1.el7.x86_64']
0.9574 ± 0.0117
Per class
Cross-validation details (10-fold Crossvalidation)
0.9567 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
1.4798 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.9567 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
0.5683 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
0.4527 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.291 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
0.6428 ± 0.0102
Cross-validation details (10-fold Crossvalidation)