This Content is from Stack Overflow. Question asked by John Hswson
( Machine Learning ) Why does the Normalization cause different output value?
My program : https://i.imgur.com/rlHqMw9.png
After Normalization, 4.0 becomes 0.8 After Normalization, another 4.0 becomes 1.00 After Normalization, 0.0 has become 0.00 After Normalization, another 0.0 becomes 0.000000
As evident from your image, in mvr1 the precision of 0.75 is more than that of 0.0; hence the precision of the latter is changed to match the precision of all values.
This Question was asked in StackOverflow by John Hswson and Answered by Coding monk It is licensed under the terms of CC BY-SA 2.5. - CC BY-SA 3.0. - CC BY-SA 4.0.