Category solved model papers

Explain selecting an algorithm in wrapper method.

5 b] Explain selecting an algorithm in wrapper method. In the wrapper method for feature selection, selecting an algorithm involves using a search process to evaluate different subsets of features,…

Explain Principal Component Analysis.

6 b] Explain Principal Component Analysis. Principal Component Analysis (PCA) is a dimensionality reduction technique used to simplify a dataset while retaining most of the important information. PCA transforms the…

Explain Random Forest Classifier.

6 a] Explain Random Forest Classifier. The Random Forest Classifier is an ensemble machine learning algorithm that builds multiple decision trees and combines their predictions to produce a more accurate…