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
Login required!

Run this program on a dataset Arrow_right

Existing runs on SMO_weka_nominal 1-25 of 282 < > Action_refresh_blue
ID Program Dataset Tuned hyper. User Updated << Status Total time Memory Error
Run #41756 SMO_weka_nominal ProductClassys no chuertas 23d16h ago failed 3h41m 418M
Run #39757 SMO_weka_nominal GoodStudents no chuertas 167d11h ago failed 5h0m 418M
Run #39436 SMO_weka_nominal Los tres mosqueteros no chuertas 217d13h ago done 1m47s 418M 0.046
Run #39307 SMO_weka_nominal deft-sentiment no Veovis 222d7h ago done 1h12m 1376M 0.317
Run #39057 SMO_weka_nominal Ot Products no chuertas 254d22h ago done 5m26s 418M 0.257
Run #38272 SMO_weka_nominal FS Challenge Dexter no chuertas 308d15h ago done 55s 418M 0.090
Run #38231 SMO_weka_nominal Plancarta FE v1.0 no chuertas 310d11h ago failed 13m48s 418M
Run #38193 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 86k features Split 3/3 no chuertas 312d5h ago failed 15m21s 1263M
Run #38177 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 86k features Split 2/3 no chuertas 312d19h ago failed 19m11s 1272M
Run #38153 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 2.8k features Split 3/3 no chuertas 312d20h 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 312d20h ago done 44s 418M 0.077
Run #38014 SMO_weka_nominal Axon Cars d50 t200 no chuertas 325d9h ago done 6m0s 418M 0.803
Run #37873 SMO_weka_nominal Ava Click no chuertas 332d14h ago failed 5h0m 428M
Run #37795 SMO_weka_nominal Plancarta r16.0 no chuertas 343d0h ago failed 44m35s 1077M
Run #37777 SMO_weka_nominal Plancarta r8.0 no chuertas 343d18h ago failed 2h1m 1524M
Run #37751 SMO_weka_nominal cosas no nvaraschin 351d11h ago done 24s 418M 0.129
Run #37518 SMO_weka_nominal Partial1/5 handVsType Reduced with 63 features no chuertas 1y15d ago done 55m32s 418M 0.130
Run #37483 SMO_weka_nominal Full handVsType Reduced no chuertas 1y19d ago done 45m21s 418M 0.155
Run #37473 SMO_weka_nominal handyTesty only 12features no chuertas 1y19d ago done 5m33s 419M 0.138
Run #37138 SMO_weka_nominal HealthyS12AsthmaS12 no zeros no OlavRG 1y38d ago done 2m14s 423M 0.310
Run #37085 SMO_weka_nominal Concentration of 167 compounds for 70H and 70A no OlavRG 1y41d ago done 1s 30M 0.405
Run #36943 SMO_weka_nominal EvoBio 2015 NCI HR Ovarian Cancer 86k features Split 1/3 no chuertas 1y50d ago failed 19m52s 1252M
Run #36929 SMO_weka_nominal Concentration of 30 compounds for 70H and 70A no OlavRG 1y51d ago done 25s 413M 0.333
Run #36877 SMO_weka_nominal mt_error_reranking no favre 1y62d ago done 1m43s 418M 0.526
Run #36748 SMO_weka_nominal HandVsMachine no chuertas 1y89d ago failed 10m3s 433M

Program contents Arrow_right


Must be logged in to post comments.