# Logistic regression hyperparameter tuning python

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Introduction This is for you,if you are looking for Deviance,AIC,Degree of Freedom,interpretation of p-value,coefficient estimates,odds ratio,logit score and how to find the final probability from logit score in logistic regression… An example of hyperparameter tuning might be choosing the number of neurons in a neural network or determining a learning rate in stochastic gradient descent. In this article, we’ll discuss GridSearch and RandomizedSearch, which are two most widely used tools for hyperparameter tuning. GRID SEARCH: