I’m working on a personal project of prediction in 1vs1 sporting activities. My neural network (MLP) have an precision of 65% (not great nonetheless it’s a fantastic start off). I have 28 attributes And that i feel that some have an affect on my predictions. So I applied two algorithms mentionned as part of your write-up :
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In essence i want to offer attribute reduction output to Naive Bays. I f you might provide sample code will be better.
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The class statement, which executes a block of code and attaches its area namespace to a class, for use in item-oriented programming.
We use Ipython notebook to show the results of codes and alter codes interactively through the entire course.
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With this segment in the Python course, learn the way to utilize Python and Manage movement to include logic in your Python scripts!
Obtaining irrelevant characteristics in the facts can reduce the accuracy of numerous models, Specifically linear algorithms like linear click over here now and logistic regression.
The moment I obtained the lowered Model of my information due to using PCA, how can I feed to my classifier?