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splitnlpdata-science

why do data sometimes split into 4 stets and sometimes into 2 (any difference)?

As the question explains,

working with some examples I see sometimes that when splitting the datasets its either like

xtrain,xtest,ytrain,ytest=train_test_split()

or


train,test= train_test_split()

but none of these examples explains why? is there any difference? specially for NLP tasks.

Solution 
  • xtrain,xtest,ytrain,ytest=train_test_split()

    For this one is used for supervised learning task and when you have x,y where you have a labeled dataset and are training a model to predict the target values (y) given the input features (x).

    train,test= train_test_split()

    This one used for unsperviosed learning where we don't have labeled data and are instead trying to find patterns in the data or cluster similar examples together.

    For example, when we have document and trying to cluster data into one based on their content.

    Hope that helps.