COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Detailed explanation-1: -In Statistics, we have different types of data sets available for different types of information. They are: Numerical data sets. Bivariate data sets.
Detailed explanation-2: -A data set is a collection of numbers or values that relate to a particular subject. For example, the test scores of each student in a particular class is a data set. The number of fish eaten by each dolphin at an aquarium is a data set.
Detailed explanation-3: -A feature dataset is a collection of related feature classes that share a common coordinate system. Feature datasets are used to facilitate creation of controller datasets (sometimes also referred to as extension datasets), such as a parcel fabric, topology, or utility network.
Detailed explanation-4: -There are two types of categorical data sets: dichotomous and polytomous. In a dichotomous data set, each variable can only have one of two values. For example, a data set containing answers to true and false questions is dichotomous because it only supplies one result or the other.