From 971f937c59b50f82ba50292be908404313699cc6 Mon Sep 17 00:00:00 2001
From: corentin <corentin.massala@gmail.com>
Date: Fri, 10 Nov 2023 17:31:05 +0100
Subject: [PATCH] add comment

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index ac023cd..2906428 100644
--- a/README.md
+++ b/README.md
@@ -364,4 +364,5 @@ def plot_graph(data_train, labels_train, data_test, labels_test, d_h, learning_r
 
 The accuracy is increasing with each epochs without converging, we could increase the learning rate to speed up the training and inscrease the numbers of epoch to see what would be our maximum accuracy.
 For 100 epochs and a learning rate of 0.1 we got a test accuracy of 0.13.
-For 300 epochs and a learning rate of 0.1 we increased the training accuracy to 0.15991 and we got a test accuracy of 0.155
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+For 300 epochs and a learning rate of 0.1 we increased the training accuracy to 0.15991 and we got a test accuracy of 0.155
+The result is dissapointing, the MLP as a lower accuracy than the KNN model...
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-- 
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