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   "source": [
    "from sklearn import svm\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
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    "## esercizio di classificazione con SVM\n",
    "- caricare i dati in classificazione.csv\n",
    "- farne un grafico delle colonne x,y,lab usando lab per il colore per evidenziare le due classi presenti: True e False\n",
    "- usare il classificatore SVM: http://scikit-learn.org/stable/modules/svm.html per ottenere un modello\n",
    "- calcolare la matrice di confusione"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "74b6818b-42dd-4c02-b851-49fcb8b164ef",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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