Testing a Data Scientist on Dimensionality Reduction Techniques | Verified by Experts 2024
Imagine, you have 1000 input features and 1 target feature in a machine learning problem. You have to select 100 most important features based on the relationship between input features and the target features. Do you think, this is an example of dimensionality reduction? A. Yes B. No - A [ True or False ] It is not necessary to have a target variable for applying dimensionality reduction algorithms. A. TRUE B. FALSE - A LDA is an example of supervised dimensionality reduction algorithm. I have 4 variables in the dataset such as - A, B, C & D. I have performed the following actions: Step 1: Using the above variables, I have created two more variables, namely E = A + 3 * B and F = B + 5 * C + D. Step 2: Then using only the variables E and F I have built a Random Forest model. Could the steps performed above represent a dimensionality reduction method?
Información del documento
- Subido en
- 29 de diciembre de 2023
- Número de páginas
- 15
- Escrito en
- 2023/2024
- Tipo
- Examen
- Contiene
- Preguntas y respuestas
