Explanation Of KNN Algorithm
Supervised Learning: KNN is a supervised learning algorithm, meaning it learns from labeled data to make predictions.Β
Instance-Based Learning: KNN is also considered an instance-based or lazy learning algorithm because it stores the entire training dataset and performs computations only when making predictions.Β
Distance Metric: KNN relies on a distance metric to measure the similarity or distance between data points.Β
Finding Nearest Neighbors:
For a new, unlabeled data point, KNN identifies the "k" nearest neighbors in the training data based on the chosen distance metric.
Classification: In classification tasks, the new data point is assigned to the class that is most common among its "k" nearest neighbors.
Regression: In regression tasks, the predicted value for the new data point is the average of the values of its "k" nearest neighbors.Β
DARK PHANTOM ALGORITHM β¬β¬β¬β¬β¬
