uplab04

arnaldojr · Mar 18, 2024 · e9e1bb4 · e9e1bb4
1 parent 764f410
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diff --git a/material/aulas/IA/lab04/dicasDePreprocessamento.ipynb b/material/aulas/IA/lab04/dicasDePreprocessamento.ipynb
@@ -441,7 +441,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 22,
+      "execution_count": 1,
       "metadata": {
         "id": "1GT3RjpjiMoC"
       },
@@ -584,7 +584,7 @@
               "4      9.4        5  "
             ]
           },
-          "execution_count": 22,
+          "execution_count": 1,
           "metadata": {},
           "output_type": "execute_result"
         }
@@ -1236,25 +1236,27 @@
         "\n",
         "Treine e avalie `duas vezes` o classificador kNN para o dataset Wine. \n",
         "\n",
-        "Considere como dados de entrada apenas as colunas 'Flavanoids’ e 'Proline’. \n",
+        "Considere o sequinte:\n",
+        "\n",
+        "```python\n",
+        "X = wine_data.drop(['quality'], axis=1)\n",
+        "y = wine_data['quality'] #Variavel para ser predita\n",
+        "\n",
+        "```\n",
+        "\n",
         "\n",
         "Compare o efeito da normalização na avaliação do classificador. Use k = 5."
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 69,
+      "execution_count": 5,
       "metadata": {
         "id": "CGNHUkQsjw0K"
       },
       "outputs": [],
       "source": [
         "##### seu código aqui........\n",
-        "\n",
-        "\n",
-        "\n",
-        "\n",
-        "\n",
         "\n"
       ]
     },

diff --git a/material/aulas/IA/lab05/validacaocruzada.ipynb b/material/aulas/IA/lab05/validacaocruzada.ipynb
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -105,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -139,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {