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@@ -48,9 +48,9 @@ This file cleans the scraped the data for the next gameweek and prepares it for
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I built **2 different models** for each position **(Goalkeepers, defenders, midfielders and forwards).**
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The **first model is a classification model that predicts whether a player will start or not.**
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The **first model is a classification model (f1_score and accuracy used as metric) that predicts whether a player will start or not.**
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The **second model is a regression model that predicts the total points of players that played.**
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The **second model is a regression model (root mean squared error used as evaluation metric) that predicts the total points of players that played.**
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The **reason for this approach is a lot of players don’t play games at all** and just predicting the points of all the players directly means our test dataset will have many **0’s which will strongly affect the quality of our regression model.**<br>
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