Question: Question 9 If a column has three values, it will be converted into three columns using one hot encoding a. False b. True Question 10
Question 9 If a column has three values, it will be converted into three columns using one hot encoding
a. False
b. True
Question 10 Which of the following is not correct
a. One record can be true positive for one label and true negative for another label at the same time
b. Hunt's algorithm selects the column with the smallest value each time.
c. If predicted output in articial neural network is 3.5, the function will convert it to +1.
d. In Linear regression, the label is continuous number.
e. All are correct
Question 11
Img3
If Artificial neural network is used on this table, what would be W1 after record1.
1
1.5
2
None of the above
Question 12 Some data mining algorithms are affected by large values more than small values.
a. True
b. False
Question 13 Which of the following is not correct
a. SQL is used commonly with Information Retrieval
b. SVM is a highly accurate classifier
c. Social networks are important sources for big data
d. None are correct
Question 14 Which of the following is not correct
a. When true positive is 5, false positive is 5, and false negative is 0, recall is 1
b. Every record in the table updates the weights in Artifical neural networks.
c. In K-Means, K always equal the number of centroids.
d. Hadoop is commonly used with big data
e. All are correct
Question 15 When decision tree calculates the value of a column in a table, it gives more importance to the values that occur more frequently in the table.
a. False
b. True
Question 16 Which of the following is not correct
a. When the record is true negative, then the classifier predicton for that record is correct.
b. Decision tree is built based on the given data
c. In Artifical neural networks, if x1=0 in some record, then w1 value will not be updated.
d. In some cases, more than one label is predicted for each record.
e. All are correct
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