Machine Learning Quiz

1. What does ML stand for?

Machine Learning
Machine Logic
Modern Learning

2. Which of the following is a supervised learning algorithm?

K-Means
Linear Regression
PCA

3. Which algorithm is used for classification?

Logistic Regression
K-Means
Apriori

4. What is overfitting?

Model performs well on training data only
Model performs poorly everywhere
Model trains faster

5. Which library is commonly used for ML in Python?

NumPy
Scikit-learn
Tkinter

6. What is the purpose of a training dataset?

To evaluate the model
To train the model
To deploy the model

7. Which technique reduces overfitting?

Regularization
Increasing noise
Removing data

8. K-Means is an example of:

Supervised Learning
Reinforcement Learning
Unsupervised Learning

9. Which metric is commonly used for classification?

Accuracy
RMSE
MSE

10. Deep Learning is a subset of:

Data Mining
Machine Learning
Databases