- An algorithm to test the accuracy of machine learning models
- This machine learning model tests it's accuracy by choosing random values from the 'music.csv' file.
- The value printed out is a float and represents the percent of accuracy. Ex: 0.5 = 50% accuracy, 1.0 = 100% accuracy
- This algorithm can be implemented in projects having similar requirements and machine learning models requiring accuracy testing