Apply an expert system IN C++

1. Write code to read in CSV data into an array/vector 2. Declare an array/vector that represents the predicted labels 3. Run each sample through our expert system and save the predicted label 4. Compute the # Correct as the number of predicted labels that match the ground truth 5. Display the resulting labels 6. Print out the percent correct to the console

Code given:

#include #include #include #include /* * Function that reads data from a CSV into a 2-D array. */ template void readCSV(double(&array)[rows][cols], char* filename) { std::ifstream file(filename); for (size_t row = 0; row < rows; ++row) { std::string line; std::getline(file, line); if (!file.good()) break; std::stringstream iss(line); for (size_t col = 0; col < cols; ++col) { std::string val; std::getline(iss, val, ','); std::stringstream convertor(val); convertor >> array[row][col]; } } } /* * Function that displays data values */ template void displayValues(double(&array)[rows][cols]) { for (int row = 0; row < rows; ++row) { for (int col = 0; col < cols; col++) { std::cout << array[row][col] << ' '; } std::cout << std::endl; } } int main(int argc, char* argv[]) { // Your code here // Use readCSV to create data array // displayValues // for loop which classifies each element in array using if statement // compare predicted class with groundtruth. return 0; }