Update README.md

README.md

@@ -23,11 +23,25 @@ Here we can conclude that the best K is 5, (if we don't use k = 1)  with a perfo
 
 ### Maths 
 1° 
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+![knn](mlp_maths/q1.png)
 
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 ### Code
 
+All the code can be found in the Python file mlp.py.
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+Below, you will find the graph of accuracy as a function of the number of epochs. We used a learning rate of 0.1 and a split ratio of 0.9 between the training and testing datasets.
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+![mlp](results/mlp.png)
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+
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+Firstly, we observe that accuracy increases with each epoch.
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+However, after 100 epochs, the accuracy is around 16.2%, which is about half the accuracy achieved by the KNN method.
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+In conclusion, the MLP method is somewhat disappointing. It might be improved by increasing the number of epochs or adjusting the learning rate. I also observed that the MLP method was faster than the KNN method.
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