Systems of Artificial Intelligence
Language: Python All necessary files to work will be separate (data_clustering.txt, data_multivar_regr.txt, data_regr_1.txt, data_regr_2.txt, data_regr_3.txt, data_regr_4.txt, data_regr_5.txt, data_singlevar_regr.txt) in lb3tz.rar
The task:
Regression is the process of evaluating how the input and output variables interact.It should be noted that the weekend variables may have value from an uninterrupted number of actual numbers.There are many resulting possibilities.This is sharply contrary to the process of classification, in which the number of final classes is fixed.In regression, it is predicted that the end variables depend on the entrance, the separation consists in the determination of the relationship between them.From there, the input variables are called independent variables (or predictors), and the outcome variables are dependent (or critical variables).However, it is not necessary that the input variables are independent of each other.There are many situations where there is a correlation between the input variables.Regression analysis allows you to figure out how the value of the output variable changes when we change only a part of the input variables, leaving the other input variables fixed.In the case of linear regression, the input and output variables are expected to be linked with linear dependence.This imposes restrictions on our modeling procedure, but accelerates it and makes it more effective.Sometimes linear regression is not sufficient to explain the proportions between the input and output variables.In similar cases, we use polynomial regression, in which the input and output variables are linked to each other by polynomial dependency.
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