Machine Learning Quiz

What is the primary focus of Machine Learning?

• To enable computers to learn from data

• To eliminate the need for data

• To manually program computers for specific tasks

• To create static algorithms

Which of the following is NOT a type of attribute in data sets?

• Temporal

• Ordinal

• Categorical

• Numeric

What is the purpose of the training set in Machine Learning?

• To build the model

• To test the model's performance

• To validate the model

• To store the final model

Which type of learning uses labeled data for training?

• Semi-supervised Learning

• Supervised Learning

• Reinforcement Learning

• Unsupervised Learning

What does the term 'overfitting' refer to in Machine Learning?

• The model performs poorly on training data

• The model captures noise in the training data

• The model is too simple

• The model generalizes well to new data

Which of the following is an example of a probabilistic model?

• Linear Regression

• Naïve Bayes

• Support Vector Machines

• Decision Trees

What is the main goal of the evaluation component in the learning process?

• To store data

• To provide feedback on learned knowledge

• To create new models

• To abstract data

Which of the following is a characteristic of unsupervised learning?

• It uses reinforcement signals

• It predicts numerical values

• It finds patterns in unlabeled data

• It requires labeled data

What is the purpose of the bias-variance trade-off?

• To maximize the model's complexity

• To minimize the model's training time

• To balance the model's performance on training and testing data

• To eliminate all errors in the model

Which of the following is an application of Machine Learning?

• Basic arithmetic calculations

• Facial recognition

• Static web pages

• Manual data entry