Machine Learning Multiple Choice Questions And Answers Set 5

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machine learning multiple choice questions and answers pdf

Hello Friends In this Post We will discuss about Machine Learning MCQ and There Answers In Brief. We are Discussing About Data Preprocessing for Machine learning,Data Cleansing,Feature Scaling.


41.Python’s_____library provides a great sample dataset generator which will help you to create your own custom dataset

ANSWER= (C) Sklearn


42._____ is a technique that is used to convert the raw data into a clean data set.

ANSWER= (B) Data Preprocessing


43._____is a useful technique to transform attributes with a Gaussian distribution and differing means and standard deviations to a standard Gaussian distribution with a mean of 0 and a standard deviation of 1.

ANSWER= (D)Standardize Data


44.Which Of the Following Step is not involved in Data Cleaning

ANSWER= (C) Binarization Data


45_____ is a technique to standardize the independent features present in the data in a fixed range

ANSWER= (B) Feature Scaling


46._____ square-root of the sum of squares of differences between the coordinates of data point and centroid of each class

ANSWER= (A) Euclidean Distance


47._____ calculated as the sum of absolute differences between the coordinates of data point and centroid of each class.

ANSWER= (C) Manhattan Distance


47._____ generalization of above two methods.

ANSWER= (D) Minkowski Distance


49._____ technique re-scales a feature or observation value with distribution value between 0 and 1.

ANSWER= (B) Min-Max Normalization


50._____ is a very effective technique which re-scales a feature value so that it has distribution with 0 mean value and variance equals to 1.

ANSWER= (C) Standardization

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