What are hyperparameters in ML? Give examples.tejasri11moAsked Sep 23, 2025, 12:31 PM556Machine Learninggive me a answer and how to useful in live time
Jayraj Chhaya11mo agoPosted Sep 23, 2025, 1:45 PMHyperparameters are settings in a machine learning model that you set before training and are not learned from data. Examples: Neural Network: learning rate, number of layers Decision Tree: max depth, min samples per leaf KNN: number of neighbors (K) Random Forest: number of trees
Jayraj ChhayaPosted Sep 23, 2025, 1:45 PM
Hyperparameters are settings in a machine learning model that you set before training and are not learned from data.
Examples:
Neural Network: learning rate, number of layers
Decision Tree: max depth, min samples per leaf
KNN: number of neighbors (K)
Random Forest: number of trees