Supervised Leaning

What is linear regression in machine learning?

• A classification algorithm

• A clustering algorithm

• A regression algorithm

• A reinforcement learning algorithm

What is the primary use of logistic regression in machine learning?

• Classification of data into multiple categories

• Regression of numerical values based on input features

• Clustering similar data points together

• Anomaly detection in data

Which of the following is the activation function used in logistic regression?

• Linear activation function

• Sigmoid activation function

• ReLU activation function

• Softmax activation function

What is the output range of logistic regression?

• [-∞, +∞]

• [0, 1]

• [-1, 1]

• [0, +∞]

What is the purpose of the logistic loss function in logistic regression?

• To minimize the sum of squared errors

• To maximize the accuracy of predictions

• To minimize the cross-entropy loss

• To balance the weights of the input features

What is the purpose of the cost function in linear regression?

• To calculate the accuracy of the model's predictions

• To measure the degree of overfitting in the model

• To quantify the difference between predicted and actual values

• To determine the optimal number of iterations for training

Which evaluation metric is commonly used to assess the performance of logistic regression?

• Mean squared error (MSE)

• R-squared (R²)

• Accuracy

• F1 score

What is the primary goal of logistic regression?

• To predict numerical values based on input features

• To classify data into different categories

• To group similar data points together

• To optimize decision boundaries between classes

Which type of problem is logistic regression commonly used for?

• Regression problems

• Classification problems

• Clustering problems

• Dimensionality reduction problems

Which activation function is typically used in logistic regression?

• Linear activation function

• Sigmoid activation function

• ReLU activation function

• Softmax activation function