Question: Explain the K-nearest neighbors (KNN) algorithm.Answer: KNN is a simple, instance-based learning algorithm used for classification and regression. It classifies a new data point based on the majority class of its k-nearest neighbors in the feature space. |
Guardar para repaso
Guarda este elemento en marcadores, marcalo como dificil o agregalo a un conjunto de repaso.
Inicia sesion para guardar marcadores, preguntas dificiles y conjuntos de repaso.
Es util? Si No
Lo mas util segun los usuarios:
- Explain the concept of feature engineering.
- What is the purpose of regularization in machine learning?
- Explain the term \'hyperparameter\' in the context of machine learning.
- What is the purpose of the activation function in a neural network?
- Explain the term \'precision\' in the context of classification.