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Difference between classification and regression [CLASSIFICATION & REGRESSION] 2021
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In this video we will discuss difference between regression and classification.
In regression problems the output values of target class are continuous. Target value must be integer or float. In this example target value of house price is an integer value depends on bed rooms in house, floors, condition and location. So, our model will predict an integer value of house price by using these features.
In classification problems the output values of target class are discrete. Target value must be belonging to a class. In this example target values are fruit names which depends on color, diameter, and wight. In classification we classify our data into classes and predict class for new data.
For regression problem suppose you have only one feature x and target value y and you are going to plot in graph for x equal to 1 y also 1, for 3 y equal to 5 and that’s going on. Finally, our data will look like this. We can draw a line or curve for predicting new data.
In classification problem we will separate our data and make classes and our data should looks like this. In this example based on values of x we make clusters for fruits target classes cloud be 2 or more than 2.
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In this video we will discuss difference between regression and classification.
In regression problems the output values of target class are continuous. Target value must be integer or float. In this example target value of house price is an integer value depends on bed rooms in house, floors, condition and location. So, our model will predict an integer value of house price by using these features.
In classification problems the output values of target class are discrete. Target value must be belonging to a class. In this example target values are fruit names which depends on color, diameter, and wight. In classification we classify our data into classes and predict class for new data.
For regression problem suppose you have only one feature x and target value y and you are going to plot in graph for x equal to 1 y also 1, for 3 y equal to 5 and that’s going on. Finally, our data will look like this. We can draw a line or curve for predicting new data.
In classification problem we will separate our data and make classes and our data should looks like this. In this example based on values of x we make clusters for fruits target classes cloud be 2 or more than 2.
Python Free course in hindi 2020:
Machine Learning Animated course:
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