Next Door Models: Supervised Learning For Data Similarity-Based Predictions
Next door models are supervised machine learning algorithms that predict values based on the similarity between input data points. They utilize the nearest neighbor algorithm, which finds the most similar data points (neighbors) and estimates the value based on their attributes. Various distance metrics, such as Euclidean distance, are used to measure similarity. Kernel functions…