1
کامپیوتر و شبکه::
داده آموزش
You provide "training data," i.e. classified examples, of these documents to the training algorithm, and then going forward, the model can classify new documents into these categories using its knowledge.
Na�ve Bayes appears to be working some kind of complex magic when in reality it just relies on the computer to have a good memory of how often each token in the training data showed up in each class.
You need more training data to make that work because the space of possible n-word phrases is larger than the space of possible words.
Assembling the Training Data
Figure 6.1 Raw training data
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2
برق و الکترونیک::
دادههای آموزش
perform separation without relying on training data.
increases the signal to noise ratio in the training data.
training data effectively seen by the model: with ?
training data.
We estimate the proportion of the training data used by the bootstrapped model (?
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