Hypothesis space
Hypothesis space  Data Science Project

Project Activities

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

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


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


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

Verónica Barraza

This project is part of

Machine Learning basics

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