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At some point, we will need to evaluate the effectiveness of our algorithm. Choosing the path for evaluation earlier allows us to structure our code accordingly, enabling it to work with the chosen solution.
We can consider the following options:
Utilizing accuracy metrics based on top-tier chess engines (as chess.org does).
2..Checking our algorithm's ELO rating on public chess websites, similar to the approach described in this GitHub repository: https://github.com/lichess-bot-devs/lichess-bot/blob/master/README.md.
Developing our own evaluation method based on our thesis."
Evaluating effectiveness of our algorithm is not needed.
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Other
The text was updated successfully, but these errors were encountered:
piece_position_list = []
b_pawn = image.get_rect() # image.get rect method only decides size of rect based on image size
b_pawn.x, b_pawn.y = 0, 87
x = 0
while x <= 8:
exec(f"b_pawn{x} = b_pawn.copy()\n"
f"piece_position_list.append(NamedRect(b_pawn{x},'b_pawn'))\n"
f"b_pawn{x}.x, b_pawn{x}.y = x*87,87") # i added {x} to b_pawn
x = x + 1
white_pawn = w_pawn_img.get_rect()
x = 0
while x <= 8:
exec(f"w_pawn{x} = white_pawn.copy()\n"
f"piece_position_list.append(NamedRect(w_pawn{x},'w_pawn'))\n"
f"w_pawn{x}.x, w_pawn{x}.y = x*87,522")
x = x + 1
Description
At some point, we will need to evaluate the effectiveness of our algorithm. Choosing the path for evaluation earlier allows us to structure our code accordingly, enabling it to work with the chosen solution.
We can consider the following options:
2..Checking our algorithm's ELO rating on public chess websites, similar to the approach described in this GitHub repository: https://github.com/lichess-bot-devs/lichess-bot/blob/master/README.md.
Area
Other
The text was updated successfully, but these errors were encountered: