Rock Paper Scissors Project Proper Completion

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Hello, friends

I just finished Rock Paper Scissors Project in Machine Learning section though I’m not sure if my solution is the proper way to complete this. The problem is my win rate is not stable especially for player named ‘Abbey’. She’s the only opponent that has different behavior every time play function called.

I just force my code to make it produce >60% win rate at least for the first and second chances (first is in main.py, and second for the test). But if I call play(player, abbey, 1000) multiple times, sometimes it produce lower than 60.

Here’s the link to my project https://replit.com/@IndraSubagja/boilerplate-rock-paper-scissors

Is there a better approach or I just leave it as it is?

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