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@@ -144,7 +144,7 @@ def cal_score(df):
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df['ctr'] = df['lastday_play'] / (df['lastday_preview'] + 1000)
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df['K2'] = df['ctr'].apply(lambda x: 0.6 if x > 0.6 else x)
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df['score'] = df['share_rate'] * df['back_rate'] * df['log_back'] * df['K2']
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- df['platform_return_rate'] = df['platform_return'] / df['回流人数']
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+ df['platform_return_rate'] = df['platform_return'] / df['lastday_return']
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df = df.sort_values(by=['score'], ascending=False)
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return df
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