When training sets with uneven class sizes are used, the classification error based on C-Support Vector Machine is undesirably biased towards the class with fewer samples in the training set.
This gives you a much larger training set for each trial, meaning that your algorithm will have enough data to learn from, but it also gives a fairly large number of tests (20 instead of 5 or 10).
Do I use the same idf from training set to perform cross validation?
Click Train Now to train the Category Assistant to recognize areas when creating a content index. The training set consists of all current areas.
They can, however, be estimated from the training set.
Nevertheless, if you're in a bind for data, this can yield passable results with lower variance than simply using one test set and one training set.
But learning the training set well is not necessarily the best thing to do.
Firstly, the object active basis model was learned from the training set using a shared sketch algorithm. Secondly, the learned active model is embedded in a particle filter.
In 1960 a spirited animal lover with no scientific training set up camp in Tanganyika's Gombe Stream Game Reserve to observe chimpanzees.
A corollary of this principle is that a learning algorithm should never be evaluated for its results in the training set because this shows no evidence of an ability to generalize to unseen instances.
Chinese question classification based on identification of cue words and extension of training set
The experimental data obtained were divided into training set and testing data.
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