Logistic Regression, Machine Learning, Classification, Regularization, Algorithms.
Train Time Complexity: While training the model, we have to store the dataset in the memory which has n rows and d columns. Hence, the space complexity is O(n*d). The training time complexity is also O(n*d). Test Time Complexity: After training the model, we just need to store the Weight Vector (W)