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<speak> So now, let's use grid search C V.<break strength="x-strong"/> What is the use of grid search C V?<break strength="x-strong"/> Grid Search C V helps<break strength="strong"/> to loop through predefined hyper parameters, and fit your model on your training set.<break strength="x-strong"/> And let's try a few more K N N models. <break strength="x-strong"/> So in the grid search c v, now we will give models from k values range from 1 to 50. <break strength="x-strong"/> So here, in this grid search c v, we will use this parameter.<break strength="x-strong"/> And it will create different models from the k value range of 1 to 50 with separate parameters.<break strength="x-strong"/> Based on parameters, it will select the best model.  <break strength="x-strong"/> Let's run the cell.<break strength="x-strong"/> It will take some time to get the best model. <break strength="x-strong"/> Here, we can see the best score of 77.2. <break strength="x-strong"/>We got the best parameters. <break strength="x-strong"/>So here we got neighbors 25.<break strength="x-strong"/> So I think we also got the same accuracy.<break strength="x-strong"/> So here also, we got the same accuracy with 11 neighbors.<break strength="x-strong"/> </speak>