WorksheetsMachine Learning Quiz
Total questions: 16
Worksheet time: 9mins
Which of the following is a type of supervised learning?
K-means clustering
Principal Component Analysis
Linear Regression
Apriori algorithm
Which metric is most appropriate when dealing with imbalanced datasets?
Accuracy
Mean Squared Error
Precision and Recall
Training time
Overfitting occurs when a model:
Performs well on unseen data
Learns noise in training data
Has low variance
Has fewer parameters
Which technique is used to reduce dimensionality?
Random Forest
PCA
Logistic Regression
Gradient Descent
Which activation function helps solve the vanishing gradient problem?
Sigmoid
Tanh
ReLU
Linear
Convolutional Neural Networks (CNNs) are best suited for:
Time-series forecasting
Image and video processing
Text translation only
Reinforcement learning tasks
Dropout in neural networks is used to:
Increase model size
Speed up training only
Prevent overfitting
Increase learning rate
In reinforcement learning, the learner is called:
Classifier
Predictor
Agent
Environment
What does the reward signal indicate?
Input data
Correct output
Immediate feedback from environment
Model accuracy
Which problem is commonly addressed using reinforcement learning?
Email spam detection
Image classification
Game playing (e.g., Chess, Go)
Linear regression
An intelligent agent is best defined as:
A program that runs continuously on a computer
entity that perceives its environment through sensors and acts upon that environment through actuators
A system that only performs pre-programmed tasks
A machine that requires human intervention for decision-making
In an intelligent agent, the agent function maps:
Goals to actions
Environment states to rewards
Percept sequences to actions
Actions to performance measures
Which agent type improves its performance over time using feedback from the environment?
Simple reflex agent
Model-based agent
Goal-based agent
Learning agent
A self-driving car continuously tracks nearby vehicles, predicts their movement, and updates its decisions even when sensors provide incomplete data. Which type of agent best describes this system?
Simple reflex agent
Model-based agent
Goal-based agent
Utility-based agent
A delivery drone must choose a route that balances shortest distance, battery consumption, and safety. Which agent type is most suitable?
Goal-based agent
Utility-based agent
Simple reflex agent
Learning agent
A robotic vacuum cleaner initially follows fixed rules but later adapts its cleaning strategy by learning which areas collect more dust. Which combination of agent types does this best represent?
Simple reflex + Goal-based
Model-based + Utility-based
Goal-based + Learning
Simple reflex + Utility-based
