upd 5
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@ -18,7 +18,7 @@ y = data['Rating']
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# Convert the categorical columns into numerical representations
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mlb = MultiLabelBinarizer()
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X['Generes'] = mlb.fit_transform(X['Generes'])
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X['Plot Keyword'] = mlb.fit_transform(X['Plot Kyeword'])
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X['Plot Kyeword'] = mlb.fit_transform(X['Plot Kyeword'])
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X['Top 5 Casts'] = mlb.fit_transform(X['Top 5 Casts'])
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# Split the data into training and testing sets
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