Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 1

The video tutorial compares two models, A and B, using decision boundaries and probability to determine which model performs better. It explains how to calculate probabilities for classification tasks and evaluates the accuracy of each model. Model B is found to be more accurate than Model A. The tutorial concludes with a discussion on improving model evaluation methods.

What is a decision boundary in the context of model classification?

• A type of machine learning algorithm

• A method to calculate the probability of a class

• A line that separates different classes in a dataset

• A technique to improve model accuracy

How can you find the probability of a class if only one probability is given?

• Add the given probability to 1

• Subtract the given probability from 1

• Divide the given probability by 2

• Multiply the given probability by 2

What does it mean if a model is 90% sure about a prediction?

• The model is 90% accurate overall

• The model predicts the class with 90% confidence

• The model has a 90% error rate

• The model is 90% likely to be wrong

Why might a model's prediction be considered wrong even if it has a high probability?

• The model's probability is less than 50%

• The model's probability is exactly 50%

• The actual class differs from the predicted class

• The model's probability is always incorrect

How is the accuracy of a model calculated using probabilities?

• By dividing the total number of predictions by correct predictions

• By subtracting incorrect probabilities from 1

• By multiplying only the correct probabilities

• By adding all predicted probabilities

What was the calculated accuracy of Model A?

• 30%

• 8.6%

• 50%

• 70%

What question is posed at the end of the video regarding model evaluation?

• Can we improve the model's decision boundary?

• Can we find a more accurate method to evaluate models?

• Can we increase the dataset size?

• Can we reduce the model's error rate?