SE is calculated using two 1D arrays. The first array y contains the true result (reference) for each sample and the second array contains the model on p for the same sample. The error is calculated by subtracting each element in p from its analogous element in y and square the answer as described quation above. he program starts, the user is asked to enter the name of the file that contains the data. The file name is guaranteed not to exceed 20 ters. Then you should open the supplied file to read the data and calculate the RMSE. The data in the file is organized as follows: ne first line contains the size of the 1D array (i.e. denoted as N in the equation) ne second line contains the elements of y array followed by the content of the p array. ess than or equals zero or not an integer value, then the program should print Invalid Size e number of elements in the file should be 2*N(N for each array). Hence, if the number of elements in the file is less than 2*N, then the program print Few elements. Also if the number of elements in the file is more than 2*N then the program should print Many elements.

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Root Mean Square Error (RMSE) is a standard way to measure the error of a model in predicting quantitative data. Formally, it is defined as follows:
RMSE =
The RMSE is calculated using two 1D arrays. The first array y contains the true result (reference) for each sample and the second array contains the model
prediction p for the same sample. The error is calculated by subtracting each element in p from its analogous element in y and square the answer as described
in the equation above.
When the program starts, the user is asked to enter the name of the file that contains the data. The file name is guaranteed not to exceed 20
characters. Then you should open the supplied file to read the data and calculate the RMSE. The data in the file is organized as follows:
• The first line contains the size of the 1D array (i.e. denoted as N in the equation)
• The second line contains the elements of y array followed by the content of the p array.
If N is less than or equals zero or not an integer value, then the program should print Invalid Size
Also, the number of elements in the file should be 2*N(N for each array). Hence, if the number of elements in the file is less than 2*N, then the program
should print Few elements. Also if the number of elements in the file is more than 2*N then the program should print Many elements.
Transcribed Image Text:Root Mean Square Error (RMSE) is a standard way to measure the error of a model in predicting quantitative data. Formally, it is defined as follows: RMSE = The RMSE is calculated using two 1D arrays. The first array y contains the true result (reference) for each sample and the second array contains the model prediction p for the same sample. The error is calculated by subtracting each element in p from its analogous element in y and square the answer as described in the equation above. When the program starts, the user is asked to enter the name of the file that contains the data. The file name is guaranteed not to exceed 20 characters. Then you should open the supplied file to read the data and calculate the RMSE. The data in the file is organized as follows: • The first line contains the size of the 1D array (i.e. denoted as N in the equation) • The second line contains the elements of y array followed by the content of the p array. If N is less than or equals zero or not an integer value, then the program should print Invalid Size Also, the number of elements in the file should be 2*N(N for each array). Hence, if the number of elements in the file is less than 2*N, then the program should print Few elements. Also if the number of elements in the file is more than 2*N then the program should print Many elements.
Root Mean Square Error (RMSE) is a standard way to
measure the error of a model in predicting quantitative
data. Formally, it is defined as follows: RMSE The RMSE
is calculated using two 1D arrays. The first array y
contains the true result (reference) for each sample
and the second array contains the model prediction p
for the same sample. The error is calculated by
subtracting each element in p from its analogous
element in y and square the answer as described in the
equation above. When the program starts, the user is
asked to enter the name of the file that contains the
data. The file name is guaranteed not to exceed 20
characters. Then you should open the supplied file to
read the data and calculate the RMSE. The data in the
file is organized as follows: • The first line contains the
size of the 1D array (i.e. denoted as N in the equation) •
The second line contains the elements of y array
followed by the content of the p array. If N is less than
or equals zero or not an integer value, then the
program should print Invalid Size Also, the number of
elements in the file should be 2*N(N for each array).
Hence, if the number of elements in the file is less than
2*N, then the program should print Few elements. Also
if the number of elements in the file is more than 2*N
then the program should print Many elements.
Transcribed Image Text:Root Mean Square Error (RMSE) is a standard way to measure the error of a model in predicting quantitative data. Formally, it is defined as follows: RMSE The RMSE is calculated using two 1D arrays. The first array y contains the true result (reference) for each sample and the second array contains the model prediction p for the same sample. The error is calculated by subtracting each element in p from its analogous element in y and square the answer as described in the equation above. When the program starts, the user is asked to enter the name of the file that contains the data. The file name is guaranteed not to exceed 20 characters. Then you should open the supplied file to read the data and calculate the RMSE. The data in the file is organized as follows: • The first line contains the size of the 1D array (i.e. denoted as N in the equation) • The second line contains the elements of y array followed by the content of the p array. If N is less than or equals zero or not an integer value, then the program should print Invalid Size Also, the number of elements in the file should be 2*N(N for each array). Hence, if the number of elements in the file is less than 2*N, then the program should print Few elements. Also if the number of elements in the file is more than 2*N then the program should print Many elements.
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