Hypothesis space
Hypothesis space  Data Science Project
Machine Learning basics

Hypothesis space

Start this project
Hypothesis space Hypothesis space
Project Created by

Verónica Barraza

Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

multiplechoice

True or False: A larger hypothesis space always leads to better model performance.

multiplechoice

True or False: Overfitting occurs when the hypothesis space is too complex for the given data.

multiplechoice

Scenario Question

You are a data scientist working on a binary classification problem. You have tried two different models for the task. Model A uses a simple hypothesis space with a linear model, while Model B employs a more complex hypothesis space with a high-degree polynomial. After evaluating both models, you notice that Model B fits the training data almost perfectly, but its performance on new, unseen data is not as good. On the other hand, Model A generalizes better to unseen data.

Based on this scenario, which model is likely suffering from overfitting?

Hypothesis space Hypothesis space
Project Created by

Verónica Barraza

This project is part of

Machine Learning basics

Explore other projects