Artificial Intelligence and Machine Learning MCQs | STS IBA FPSC BPSC SPSC PPSC Mcqs Test Preparation
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What is the ‘F1 Score’ used for in machine learning?
A. To evaluate the balance between precision and recall in classification tasks
B. To measure the performance of regression models
C. To assess the clustering quality
D. To calculate the dimensionality reduction
Answer: To evaluate the balance between precision and recall in classification tasks
What is the ‘K-nearest neighbors’ (KNN) algorithm used for?
A. Classification and Regression
B. Dimensionality Reduction
C. Clustering
D. Feature Selection
Answer: Classification and Regression
Which of the following is a type of unsupervised learning algorithm?
A. K-means Clustering
B. Decision Trees
C. Linear Regression
D. Support Vector Machine (SVM)
Answer: K-means Clustering
What is the purpose of ‘feature engineering’ in machine learning?
A. To create new features or modify existing ones to improve model performance
B. To select the best model for a dataset
C. To normalize the data
D. To split the dataset into training and testing sets
Answer: To create new features or modify existing ones to improve model performance
What is ‘A/B testing’ used for in machine learning?
A. To compare two models or algorithms to determine which performs better
B. To evaluate the performance of a model on a validation set
C. To normalize the features of the dataset
D. To perform dimensionality reduction
Answer: To compare two models or algorithms to determine which performs better
What is ‘gradient boosting’?
A. An ensemble learning technique that combines weak learners to improve performance
B. A method for scaling data
C. A technique for feature extraction
D. A type of neural network architecture
Answer: An ensemble learning technique that combines weak learners to improve performance
Which algorithm is known for its ability to handle high-dimensional data well?
A. Support Vector Machine (SVM)
B. Linear Regression
C. K-means Clustering
D. Decision Trees
Answer: Support Vector Machine (SVM)
What is ‘Principal Component Analysis’ (PCA) used for?
A. Dimensionality Reduction
B. Classification
C. Regression
D. Clustering
Answer: Dimensionality Reduction
What does the ‘R’ in ‘RNN’ stand for?
A. Recurrent
B. Random
C. Robust
D. Reinforced
Answer: Recurrent