Machine Learning Quiz

Which of the following is an example of supervised learning?

• K-Means Clustering

• Linear Regression

• PCA

• Apriori Algorithm

What is the goal of concept learning?

• To generate labels from unlabeled data

• To map input data into a concept class

• To cluster similar data

• To balance bias and variance

Which type of machine learning involves feedback-based learning from the environment?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Semi-supervised Learning

Which of the following causes underfitting in a model?

• High variance

• High bias

• Proper regularization

• Increased training data

Which of these is a component of the learning system design?

• Clustering

• Noise filtering

• Hypothesis space

• Feature engineering only

Naïve Bayes assumes which of the following?

• Data is linearly separable

• Features are conditionally independent

• Data follows a Poisson distribution

• Data must be normalized

Which metric is commonly used in KNN to measure closeness?

• Manhattan distance

• Cosine similarity

• Euclidean distance

• Hamming distance

What is the output of a logistic regression model?

• A class label

• A real-valued prediction

• A probability between 0 and 1

• A clustering score

In backpropagation, the error is propagated:

• From input to output

• Randomly across the layers

• From output to input

• In a cyclic pattern

Support Vector Machines aim to:

• Minimize mean squared error

• Maximize decision boundary distance

• Minimize cross-entropy

• Perform hierarchical clustering