diff --git a/README.md b/README.md index 4bd266fb82f62db7ce26f51dd7c116a4bc8f31d4..6d6383dcee77f8cf092b4b7a98f8fb176ce9deb1 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,9 @@ First of all, we had to prepare the CIFAR dataset. All the code can be found on All the code can be found on the python file knn.py Here is the graph of the accuracy of my knn code epending on the value of k for the Cifar dataset with a split factor of 0.9: -`` + + +Here we can conclude that the best K is 5, (if we don't use k = 1) with a performace of 34,5% of accuracy. ## Artificial Neural Network