The video tutorial explains how two models classify a point with different probabilities and how these probabilities can be combined. It highlights the error of exceeding probability limits and introduces the sigmoid function to correct this, ensuring the combined probability remains valid. The tutorial concludes with a discussion on combining linear boundaries and probabilities.

What probability does Model 1 assign to the yellow point being green?

• 80%

• 70%

• 60%

• 50%

What is the combined probability value before applying any function?

• 1.0

• 1.5

• 0.9

• 2.0

Why is the combined probability value of 1.5 incorrect?

• It is a negative number

• It is greater than 2

• Probabilities must be between 0 and 1

• It is less than 1

Which function is used to convert the combined value into a valid probability?

• Softmax

• Sigmoid

• ReLU

• Tanh

What is the final probability of the yellow point being green after applying the sigmoid function?

• 0.82

• 0.75

• 0.90

• 0.70