FREE DAC Machine Learning & Predictive Analytics Questions and Answers
Which machine learning algorithm is best suited for classifying emails as spam or not spam?
Naïve Bayes is widely used for spam filtering due to its effectiveness in probabilistic classification based on word frequency.
Which of the following is an unsupervised learning algorithm?
K-Means Clustering is a widely used unsupervised learning algorithm for grouping similar data points based on their features.
Which technique is commonly used to reduce dimensionality in machine learning?
Principal Component Analysis (PCA) is a popular dimensionality reduction technique that transforms high-dimensional data into fewer dimensions while retaining variance.
What is the main goal of feature scaling in machine learning?
Feature scaling ensures that all input variables are on a similar scale, improving the convergence speed of gradient-based optimization algorithms.
Which metric is commonly used to evaluate the performance of a regression model?
Mean Squared Error (MSE) measures the average squared difference between actual and predicted values, making it a key metric for regression models.
What is the purpose of cross-validation in machine learning?
Cross-validation helps assess a model's generalizability by partitioning the dataset into training and testing sets multiple times.