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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is underfitting?
💡 Hint: Think about what happens when a model fails to identify trends.
Question 2
Easy
What are signs of underfitting?
💡 Hint: What does performance look like on both data sets?
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a key indicator of underfitting?
💡 Hint: Think about the performance metrics.
Question 2
True or False: Underfitting means the model is too complex.
💡 Hint: Consider what happens with a simple model.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
You have developed a model that consistently reports 50% accuracy on your training dataset. Discuss the implications and possible next steps.
💡 Hint: What does the accuracy tell you about the model's performance?
Question 2
Propose a method to identify whether underfitting or overfitting is occurring in your model based on training and validation results.
💡 Hint: Consider the training vs testing performance narrative.
Challenge and get performance evaluation