The K-means algorithm:

Question:

The K-means algorithm:

A.

requires the dimension of the feature space to be no bigger than the number of samples

B.

has the smallest value of the objective function when k = 1

C.

minimizes the within class variance for a given number of clusters

D.

converges to the global optimum if and only if the initial means are chosen as some of the samples themselves

Answer» c. minimizes the within class variance for a given number of clusters

Note: The above multiple-choice question is for all general and Competitive Exams in India

During the treatement of cancer patients , the doctor needs to be very careful about which patients need to be given chemotherapy.Which metric should we use in order to decide the patients who should given chemotherapy?

Question:

During the treatement of cancer patients , the doctor needs to be very careful about which patients need to be given chemotherapy.Which metric should we use in order to decide the patients who should given chemotherapy?

A.

precision

B.

recall

C.

call

D.

score

Answer» a. precision

Note: The above multiple-choice question is for all general and Competitive Exams in India

If X and Y in a regression model are totally unrelated,

Question:

If X and Y in a regression model are totally unrelated,

A.

the correlation coefficient would be -1

B.

the coefficient of determination would be 0

C.

the coefficient of determination would be 1

D.

the sse would be 0

Answer» b. the coefficient of determination would be 0

Note: The above multiple-choice question is for all general and Competitive Exams in India

Which of the following evaluation metrics can be used to evaluate a model while modeling a continuous output variable?

Question:

Which of the following evaluation metrics can be used to evaluate a model while modeling a continuous output variable?

A.

a)auc-roc

B.

b)accuracy

C.

c)logloss

D.

d)mean-squared-error

Answer» d. d)�mean-squared-error

Note: The above multiple-choice question is for all general and Competitive Exams in India

What are the different Algorithm techniques in Machine Learning?

Question:

What are the different Algorithm techniques in Machine Learning?

A.

supervised learning and semi-supervised learning

B.

unsupervised learning and transduction

C.

both a & b

D.

none of the mentioned

Answer» c. both a & b

Note: The above multiple-choice question is for all general and Competitive Exams in India