By sampling your data, running the Support-Vector-Machine algorithm on these samples in parallel on your own machine and letting your models vote on a prediction, we return much faster predictions than the regular Support-Vector-Machine and possibly even more accurate predictions.
|Author||Wannes Rosiers (InfoFarm)|
|Date of publication||2015-06-26 13:34:36|
|Maintainer||Wannes Rosiers <[email protected]>|
|Package repository||View on CRAN|
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