This programs is part of the WEKA classifier library. The code used to generate this program is from the java class 'weka/classifiers/functions/' from WEKA's libraries. The following description was taken from this classes JavaDoc information:

Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. This implementation globally replaces all missing values and transforms nominal attributes into binary ones. It also normalizes all attributes by default. (In that case the coefficients in the output are based on the normalized data, not the original data --- this is important for interpreting the classifier.) Multi-class problems are solved using pairwise classification (1-vs-1 and if logistic models are built pairwise coupling according to Hastie and Tibshirani, 1998). To obtain proper probability estimates, use the option that fits logistic regression models to the outputs of the support vector machine. In the multi-class case the predicted probabilities are coupled using Hastie and Tibshirani's pairwise coupling method. Note: for improved speed normalization should be turned off when operating on SparseInstances. For more information on the SMO algorithm, see J. Platt: 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.

NOTE: This algorithm has no parameter tuning, it is using the default WEKA parameters

NOTE: WEKA's Classifiers read a data in the .arff format. For Multiclass datasets, the SVMlight format converted to .arff multiclass format so they can be read by WEKA programs
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Existing runs on SMO_weka_nominal 1-25 of 284 < > Action_refresh_blue
ID Program Dataset Tuned hyper. User Updated << Status Total time Memory Error
Run #42935 SMO_weka_nominal projectTALEP no JeanC83 139d0h ago failed 17m43s 611M
Run #42807 SMO_weka_nominal projectTALEP_All no JeanC83 140d0h ago failed 1h9m 1524M
Run #41756 SMO_weka_nominal ProductClassys no chuertas 204d13h ago failed 3h41m 418M
Run #39757 SMO_weka_nominal GoodStudents no chuertas 348d8h ago failed 5h0m 418M
Run #39436 SMO_weka_nominal Los tres mosqueteros no chuertas 1y33d ago done 1m47s 418M 0.046
Run #39307 SMO_weka_nominal deft-sentiment no Veovis 1y38d ago done 1h12m 1376M 0.317
Run #39057 SMO_weka_nominal Ot Products no chuertas 1y70d ago done 5m26s 418M 0.257
Run #38272 SMO_weka_nominal FS Challenge Dexter no chuertas 1y124d ago done 55s 418M 0.090
Run #38231 SMO_weka_nominal Plancarta FE v1.0 no chuertas 1y126d ago failed 13m48s 418M
Run #38193 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 86k features Split 3/3 no chuertas 1y128d ago failed 15m21s 1263M
Run #38177 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 86k features Split 2/3 no chuertas 1y128d ago failed 19m11s 1272M
Run #38153 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 2.8k features Split 3/3 no chuertas 1y128d ago done 45s 418M 0.138
Run #38142 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 2.8k features Split 2/3 no chuertas 1y128d ago done 44s 418M 0.077
Run #38014 SMO_weka_nominal Axon Cars d50 t200 no chuertas 1y141d ago done 6m0s 418M 0.803
Run #37873 SMO_weka_nominal Ava Click no chuertas 1y148d ago failed 5h0m 428M
Run #37795 SMO_weka_nominal Plancarta r16.0 no chuertas 1y158d ago failed 44m35s 1077M
Run #37777 SMO_weka_nominal Plancarta r8.0 no chuertas 1y159d ago failed 2h1m 1524M
Run #37751 SMO_weka_nominal cosas no nvaraschin 1y167d ago done 24s 418M 0.129
Run #37518 SMO_weka_nominal Partial1/5 handVsType Reduced with 63 features no chuertas 1y196d ago done 55m32s 418M 0.130
Run #37483 SMO_weka_nominal Full handVsType Reduced no chuertas 1y200d ago done 45m21s 418M 0.155
Run #37473 SMO_weka_nominal handyTesty only 12features no chuertas 1y200d ago done 5m33s 419M 0.138
Run #37138 SMO_weka_nominal HealthyS12AsthmaS12 no zeros no OlavRG 1y219d ago done 2m14s 423M 0.310
Run #37085 SMO_weka_nominal Concentration of 167 compounds for 70H and 70A no OlavRG 1y222d ago done 1s 30M 0.405
Run #36943 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 86k features Split 1/3 no chuertas 1y231d ago failed 19m52s 1252M
Run #36929 SMO_weka_nominal Concentration of 30 compounds for 70H and 70A no OlavRG 1y232d ago done 25s 413M 0.333

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