Fundamentals of Machine Learning - Logistic Regression

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of logistic regression in a classification problem?
To reduce the dimensionality of data
To minimize the error rate
To maximize the number of features
To produce the probability of class membership
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function is used to transform the linear combination in logistic regression?
ReLU function
Tanh function
Softmax function
Sigmoid function
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of dataset is Fashion MNIST?
A dataset of handwritten digits
A dataset of clothing images
A dataset of animal images
A dataset of vehicle images
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the 'flatten' layer in a neural network?
To convert a 2D matrix into a 1D vector
To increase the number of layers
To apply activation functions
To reduce the number of neurons
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which activation function is used in the output layer for a multi-class classification problem?
ReLU
Sigmoid
Tanh
Softmax
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the training accuracy plot indicate about the model's learning process?
The model is overfitting
The model is underfitting
The model's performance is improving
The model's performance is degrading
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the error rate calculated in the model evaluation?
By dividing the number of correct predictions by total predictions
By subtracting the accuracy from 100%
By dividing the number of incorrect predictions by total predictions
By adding the number of correct and incorrect predictions
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