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Let's predict the winners of the World Cup semi-finals using machine learning and last week my model did really well predicting the 2-1 England against Norway and it also predicted that Spain would concede their first goal in the World Cup and to top it all off the model was able to get all four of the quarter finals predictions correct. So today let's predict the winners of France versus Spain and Argentina versus England. So the data for my model I'm pulling from the Football Data API and to get the predictions I trained what's called an XGBoost model, which is basically a bunch of decision trees which work together to help predict a win or a loss. For the model I trained on 20 distinct features across different stats and I got all the data from different tournaments. I've built a ton of different sports models just like this one. So if you want to learn how to build your own models or if you want to get the code for this one, download Axon on the App Store and if you're on Android or desktop go to axonlearn.app. And we're almost to the end of the World Cup and it's been a ton of fun making all these prediction videos. So if you want to build models like this one or if you want more machine learning content, make sure to follow and after compiling all the data into the model for the France and Spain game, the model is 55% confident that France will win their game with an expected score of 1-0. And for the Argentina and England game, the model is 53% confident that Argentina will win with an expected score line of 2-1. And follow along to see if we get