Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Python.
Machine learning f. Backward Feature Elimination In this method, we start with all n dimensions. Compute the sum of a square of error (SSR) after eliminating each variable (n times). Then, identifying variables whose removal has produced the smallest increase in the SSR. And thus removing it