graphmaker
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@@ -2,9 +2,9 @@ import os
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import matplotlib.pyplot as plt
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datasets = {
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"cleaned": "games_march2025_cleaned",
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"cleaned_2k": "games_march2025_cleaned_2k",
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"cleaned_10k": "games_march2025_cleaned_10k"
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#"cleaned": "games_march2025_cleaned",
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"cleaned_2k": "games_march2025_cleaned_2k_i3k",
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"cleaned_10k": "games_march2025_cleaned_10k_i3k"
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}
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# def results
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results = {}
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@@ -28,14 +28,14 @@ x = range(len(models))
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plt.figure(figsize=(12,6))
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#plt.bar([i - 0.25 for i in x], [results["cleaned"][m] for m in models], width=0.25, label="cleaned")
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plt.bar(x, [results["cleaned_2k"][m] for m in models], width=0.5)#, label="cleaned_2k")
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#plt.bar([i + 0.25 for i in x], [results["cleaned_10k"][m] for m in models], width=0.25, label="cleaned_10k")
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plt.bar(x, [results["cleaned_2k"][m] for m in models], width=0.25, label="2k Dataset")
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plt.bar([i + 0.25 for i in x], [results["cleaned_10k"].get(m,0) for m in models], width=0.25, label="10k Dataset")
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plt.xticks(x, models, rotation=90)
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plt.ylim(0, 1) # min max
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plt.ylabel("Weighted F1-Score")
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plt.title("Model Performance across Datasets")
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#plt.legend()
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plt.legend()
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plt.tight_layout()
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plt.savefig('compare_graph_latest.png')
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plt.show()
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