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- WHATS THE ALGORITHIM FOR THIS The course records are shown below: Each student has 4 assignments. 108194 9 10 10 10 197526 10 10 10 10 197008 10 10 0 10 197746 10 10 9 10 108154 10 0 10 9 Create an input file ‘CSassignments.txt’ using an editor such as Notepad++ with a student number, then a space, then four assignment marks on one line. The assignment marks are whole numbers and are separated by a space. Your C++ program will read from the file ‘CSassignments.txt’ and write to a second file ‘CSgrades.txt’ which includes the average of the student’s four assignments. e.g. 108194 9 10 10 10 9.75 Your C++ program should work with any number of records in the ‘CSassignments.txt’ input file – that is –…Computer Science For each of the code snippet given below, identify the error and then write code after fixing the error. Given code is the simulation of grep -v command. -v prints all lines that do not match a specific pattern. void grep_inverse(char *filename, char *str) { FILE *fp; char buf[buff_size]; fp = fopen(filename, "r"); if(!fp) { perror(filename); } else { while (fgets(buf, buff_size, fp) != NULL) { if ((strstr (buf, str)) != NULL) printf("%s", buf); } } fclose(fp); }This is the Source code of the KNN Algorithm by taking the Data and Training file. Question: I wanna take Data and Training Data from my Own User Input. K Value, All Data, Traning Data all have to take from User Input. SO, Modify This Code: from csv import reader from sys import exit from math import sqrt from operator import itemgetter def load_data_set(filename): try: with open(filename, newline='') as iris: return list(reader(iris, delimiter=',')) except FileNotFoundError as e: raise e def convert_to_float(data_set, mode): new_set = [] try: if mode == 'training': for data in data_set: new_set.append([float(x) for x in data[:len(data)-1]] + [data[len(data)-1]]) elif mode == 'test': for data in data_set: new_set.append([float(x) for x in data]) else: print('Invalid mode, program will exit.') exit() return new_set except ValueError as v: print(v) print('Invalid data set format, program will exit.') exit() def get_classes(training_set): return list(set([c[-1] for c in training_set]))…
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