Recursive Feature Elimination(RFE) It is a wrapper method for feature selection. It recursively removes the least important features based on their impact on the model’s performance. The goal is to...
What is Big-O Notation
Big O notation tells how much solwer a piece of a program gets as the input gets larger. It describes the complexity of the code using algebraic terms. The focus of Big O notation is on looking at...
Feature Selection in ML
Feature Selection is the process of selecting a subset of relevant features for use in model construction. It is different from feature extraction or dimensionality reduction. It mostly acts as a f...
Installing LightGBM on an M1 Mac
While setting up LightGBM on my M1 Mac, I discovered that the default pip install lightgbm command does not work due to compatibility issues with Apple Silicon and libomp dependencies. After tryin...
Precision and Recall in Classification Tasks (KOR)
In classification tasks, several evaluation metrics are commonly used, including Accuracy, Precision, Recall, and F1 Score. These metrics are based on the Confusion Matrix, which forms the foundati...