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Ivy_Honeywell_Data Analytics_4.2

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Professional Development

Professional Development

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Ivy_Honeywell_Data Analytics_4.2
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10 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Suppose you have been given a fair coin and you want to find out the odds of getting heads. Which of the following option is true for such a case?

odds will be 0

odds will be 0.5

odds will be 1

None of the above

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is true regarding the logistic function for any value “x”?

Note

Logistic(x): is a logistic function of any number “x”

Logit(x): is a logit function of any number “x”

Logit_inv(x): is an inverse logit function of any number “x”

Logistic(x) = Logit(x)

Logistic(x) = Logit_inv(x)

Logit_inv(x) = Logit(x)

None of these

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Suppose you applied a logistic regression model on a given data and got a training accuracy X and testing accuracy Y. Now you want to add few new features in the same data. Select the option(s) which is/are correct in such a case, considering remaining parameters are same.

Training accuracy increases

Testing accuracy increases

Training and testing accuracy increases or remains the same

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Choose which of the following options is true regarding one-vs-all method in Logistic Regression.

We need to fit n models in n-class classification problem

We need to fit n-1 classification models to classify into n classes

We need to fit only one model to classify into n classes

None of the above

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Is Logistic Regression a supervised machine learning algorithm?

TRUE

FALSE

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Is it possible to design a logistic regression algorithm using a Neural Network Algorithm?

TRUE

FALSE

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following methods do we use to best fit the data in Logistic Regression?

Least Squarred Error

Maximum Likelihood

Jaccard Distance

Both A and B

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