Machine Learning: The Future of Data Analysis MCQ part-1

Machine learning is a subset of artificial intelligence (AI) that is concerned with the design and development of algorithms that can learn from and make predictions on data. Machine learning algorithms are used in a variety of applications, such as email filtering and computer vision, where they can automatically detect and classify images.

Que.Which of the following can be used to generate balanced cross–validation groupings from a set of data?
a. createFolds
b. createSample
c. createResample
d. none of the mentioned
Que.Point out the wrong statement.
a. Simple random sampling of time series is probably the best way to resample times series data.
b. Three parameters are used for time series splitting
c. Horizon parameter is the number of consecutive values in test set sample
d. All of the mentioned
Que.Which of the following function can be used to maximize the minimum dissimilarities?
a. sumDiss
b. minDiss
c. avgDiss
d. all of the mentioned
Que.Which of the following function can create the indices for time series type of splitting?
a. newTimeSlices
b. createTimeSlices
c. binTimeSlices
d. none of the mentioned
Que.Point out the correct statement.
a. Asymptotics are used for inference usually
b. Caret includes several functions to pre-process the predictor data
c. The function dummyVars can be used to generate a complete set of dummy variables from one or more factors
d. All of the mentioned
Que.Which of the following can be used to create sub–samples using a maximum dissimilarity approach?
a. minDissim
b. maxDissim
c. inmaxDissim
d. all of the mentioned
Que.caret does not use the proxy package.
a. True
b. False
c. May be True or False
d. Can’t say
Que.Which of the following function can be used to create balanced splits of the data?
a. newDataPartition
b. createDataPartition
c. renameDataPartition
d. none of the mentioned
Que.Which of the following package tools are present in caret?
a. pre-processing
b. feature selection
c. model tuning
d. all of the mentioned
Que.caret stands for classification and regression training.
a. True
b. False
c. May be True or False
d. Can’t say

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