Sorting model results

You are working as a data scientist in a large corporation. The production environment for your machine learning models writes out text files into the model_results/ folder whenever an experiment is completed. The files have the following structure (example):

Model Name: KNN
Accuracy: 89
F1: 0.87
Date: 2019-12-01
ModelID: 34598utjfddfgdg

You can see the model name, accuracy and F1 scores, the date the experiment completed and a unique ID to link the model experiment back into your experiment system.

The company has a threshold of 90% for accuracy for a model to continue experimentation. Your task is to write a Bash script that takes in an ARGV argument (a filename), extracts the accuracy score and conditionally sorts the model result file into one of two folders: good_models/ for those with accuracy greater than or equal to 90 and bad_models/ for those less than 90. You must run your script from the terminal with the requested arguments before submitting your answer.

NOTE!! If you don't run the script with an argument, it will hang - so make sure to run the script with the requested argument! If you make an error requiring a hint - you may need to refresh the session before submitting as well!