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[ADD] explanation at confusion matrix

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Sem van der Hoeven
2021-06-09 10:12:00 +02:00
parent f8e3fdfa4f
commit eabf14ceb5
1 changed files with 4 additions and 15 deletions
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exercises/Jupyter notebook CVML.ipynb
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@@ -1859,13 +1859,7 @@
"3/3 [==============================] - 0s 7ms/step - loss: 0.1287 - accuracy: 0.9773 - val_loss: 0.1429 - val_accuracy: 0.9744\n", "3/3 [==============================] - 0s 7ms/step - loss: 0.1287 - accuracy: 0.9773 - val_loss: 0.1429 - val_accuracy: 0.9744\n",
"Epoch 58/200\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", "3/3 [==============================] - 0s 7ms/step - loss: 0.7361 - accuracy: 0.9773 - val_loss: 0.3757 - val_accuracy: 0.9744\n",
"Epoch 59/200\n" "Epoch 59/200\n",
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"3/3 [==============================] - 0s 7ms/step - loss: 0.5845 - accuracy: 0.9773 - val_loss: 0.0177 - val_accuracy: 1.0000\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", "Epoch 60/200\n",
"3/3 [==============================] - 0s 7ms/step - loss: 0.2937 - accuracy: 0.9545 - val_loss: 0.0459 - val_accuracy: 0.9744\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", "3/3 [==============================] - 0s 7ms/step - loss: 0.1469 - accuracy: 0.9659 - val_loss: 0.0264 - val_accuracy: 0.9744\n",
"Epoch 174/200\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", "3/3 [==============================] - 0s 8ms/step - loss: 0.4156 - accuracy: 0.9659 - val_loss: 0.1467 - val_accuracy: 0.9744\n",
"Epoch 175/200\n" "Epoch 175/200\n",
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"3/3 [==============================] - 0s 8ms/step - loss: 0.3312 - accuracy: 0.9659 - val_loss: 0.0123 - val_accuracy: 1.0000\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", "Epoch 176/200\n",
"3/3 [==============================] - 0s 7ms/step - loss: 0.1016 - accuracy: 0.9659 - val_loss: 0.0146 - val_accuracy: 1.0000\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", "Hier wordt gekeken hoe accuraat de classification is.\n",
"Een confusion_matrix is een matrix gevormd door te vergelijken met de test\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", "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", "\"\"\"\n",
"confusion_matrix(y_test_class, y_pred_class)" "confusion_matrix(y_test_class, y_pred_class)"
] ]