Top 50+ Solved Data Analytics with R Weka Machine Learning MCQ Questions Answer
Q. Which of the following techniques can not be used for normalization intext mining?
a. Stemming
b. Lemmatization
c. Stop Word Removal
d. None of the above
Q. In which of the following cases will K-means clustering fail to give good results?1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes
a. 1 and 2
b. 2 and 3
c. 1 and 3
d. All of the above
Q. Which of the following is a reasonable way to select the number of principal components "k"?
a. Choose k to be the smallest value so that at least 99% of the varinace is retained.
b. Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer).
c. Choose k to be the largest value so that 99% of the variance is retained.
d. Use the elbow metho