u930973931_answers

15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the primary function of an activation function in a neural network? (A) To calculate the loss of the model (B) To prevent overfitting (C) To introduce non-linearity into the model (D) To optimize the weights during training 2. Which of the following is a common … Read more

10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the main goal of the Support Vector Machine (SVM) algorithm?Explanation: The main goal of SVM is to find a decision boundary (hyperplane) that maximizes the margin between the two classes, leading to better generalization. (A) To maximize the margin between classes while minimizing classification errors … Read more

10 min Score: 0 Attempted: 0/10 Subscribe 1. Which of the following is true about the k-Nearest Neighbors (k-NN) algorithm?Explanation: k-NN is a supervised learning algorithm used for both classification and regression tasks. (A) It is a generative model. (B) It requires a training phase. (C) It only works with numerical data. (D) It is … Read more

10 min Score: 0 Attempted: 0/10 Subscribe 1. Which of the following is a key assumption made by the Naive Bayes classifier?Explanation: Naive Bayes assumes that features are conditionally independent, given the class label, which simplifies computation and makes the algorithm efficient. (A) Features are independent of each other. (B) Features are dependent on each … Read more

10 min Score: 0 Attempted: 0/10 Subscribe 1. Which of the following is the primary criterion for splitting nodes in a decision tree?Explanation: Entropy is commonly used to determine how to split nodes, especially in classification tasks. It measures the impurity or disorder of a dataset. (A) Variance (B) Standard deviation (C) Gini index (D) … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. Which of the following is an advantage of using Decision Trees for classification? (A) They are easy to interpret and visualize (B) They require a lot of data preprocessing (C) They cannot handle missing data (D) They always produce highly accurate results 2. Which of the following … Read more

10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the primary goal of anomaly detection in machine learning? (A) To classify data into predefined categories (B) To minimize the error in predictions (C) To predict future data points (D) To identify rare patterns that do not conform to expected behavior 2. Which of the … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the main goal of association rule mining? (A) To predict continuous values (B) To cluster data into groups (C) To find hidden patterns and relationships in a dataset (D) To reduce the dimensionality of the data 2. In association rule mining, what does an itemset … Read more

10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the main goal of regression analysis? (A) To predict a categorical label (B) To predict a continuous value based on input variables (C) To group similar data points together (D) To identify associations between variables 2. Which of the following is a type of supervised … Read more

15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the primary goal of clustering in machine learning? (A) To group similar data points into clusters based on their attributes (B) To classify data into predefined categories (C) To reduce the size of the dataset (D) To predict continuous values based on input features 2. … Read more