From eabf14ceb58dda580c683d37d6e9bfb9ed0dd2d8 Mon Sep 17 00:00:00 2001 From: Sem van der Hoeven Date: Wed, 9 Jun 2021 10:12:00 +0200 Subject: [PATCH] [ADD] explanation at confusion matrix --- exercises/Jupyter notebook CVML.ipynb | 19 ++++--------------- 1 file changed, 4 insertions(+), 15 deletions(-) diff --git a/exercises/Jupyter notebook CVML.ipynb b/exercises/Jupyter notebook CVML.ipynb index c547908..cb6245e 100644 --- a/exercises/Jupyter notebook CVML.ipynb +++ b/exercises/Jupyter notebook CVML.ipynb @@ -1859,13 +1859,7 @@ "3/3 [==============================] - 0s 7ms/step - loss: 0.1287 - accuracy: 0.9773 - val_loss: 0.1429 - val_accuracy: 0.9744\n", "Epoch 58/200\n", "3/3 [==============================] - 0s 7ms/step - loss: 0.7361 - accuracy: 0.9773 - val_loss: 0.3757 - val_accuracy: 0.9744\n", - "Epoch 59/200\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Epoch 59/200\n", "3/3 [==============================] - 0s 7ms/step - loss: 0.5845 - accuracy: 0.9773 - val_loss: 0.0177 - val_accuracy: 1.0000\n", "Epoch 60/200\n", "3/3 [==============================] - 0s 7ms/step - loss: 0.2937 - accuracy: 0.9545 - val_loss: 0.0459 - val_accuracy: 0.9744\n", @@ -2103,13 +2097,7 @@ "3/3 [==============================] - 0s 7ms/step - loss: 0.1469 - accuracy: 0.9659 - val_loss: 0.0264 - val_accuracy: 0.9744\n", "Epoch 174/200\n", "3/3 [==============================] - 0s 8ms/step - loss: 0.4156 - accuracy: 0.9659 - val_loss: 0.1467 - val_accuracy: 0.9744\n", - "Epoch 175/200\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Epoch 175/200\n", "3/3 [==============================] - 0s 8ms/step - loss: 0.3312 - accuracy: 0.9659 - val_loss: 0.0123 - val_accuracy: 1.0000\n", "Epoch 176/200\n", "3/3 [==============================] - 0s 7ms/step - loss: 0.1016 - accuracy: 0.9659 - val_loss: 0.0146 - val_accuracy: 1.0000\n", @@ -2309,7 +2297,8 @@ "Hier wordt gekeken hoe accuraat de classification is.\n", "Een confusion_matrix is een matrix gevormd door te vergelijken met de test\n", "waardes en de voorspelde waardes. Kijken hoeveel er goed en hoeveel er fout \n", - "zijn voorspelt.\n", + "zijn voorspeld. We kunnen zien dat er 2 keer een fout gemaakt is bij \n", + "trainwaarde 2 en testwaarde 4.\n", "\"\"\"\n", "confusion_matrix(y_test_class, y_pred_class)" ]