Fix negative metric values#835
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This PR fixes an issue where calling get_leaderboard(original_metric_values=True) still returned negative optimization metrics (like F1 score).
Changes
Updated the get_leaderboard function in supervised/base_automl.py to cleanly multiply the metric_value column by -1.0 and clean up any -0.0 floating-point artifacts when original_metric_values is set to True. Tested locally using a custom classification script, and the leaderboard values now display as positive numbers correctly.
Closes #123 (Replace 123 with the actual issue number you are fixing)