Machine Learning Basics | Quiz Platform

In Supervised Learning, the dataset consists of:

Only input features Input features and corresponding output labels Only output labels Unstructured data with no goals

Which of the following is a Classification problem?

Grouping customers by purchasing habits (without predefined groups) Predicting the price of a house Predicting the temperature for tomorrow Predicting if an email is "Spam" or "Not Spam"

What phenomenon occurs when a model learns the training data too well, including the noise, and performs poorly on new data?

Overfitting Regularization Underfitting Bias

What is the purpose of a "Test Set"?

To increase the size of the training data To train the model parameters To tune hyperparameters To evaluate the final performance of the model on unseen data

In the context of neural networks, what is a "Loss Function"?

An algorithm for sorting data A function that deletes data The accuracy of the model expressed as a percentage A mathematical way to measure how far the model's predictions are from the actual targets

Which of these is a Hyperparameter?

The bias term inside the neuron The Learning Rate The weights inside the neuron The predicted output value

What is Gradient Descent?

A technique for data cleaning A method for visualizing data An optimization algorithm used to minimize the loss function A type of neural network layer