mlessentials/Lab01/Exercise1.03/Exercise1_03.ipynb

{
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   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nN-xnkvdLNBY"
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   "outputs": [],
   "source": [
    "from sklearn.datasets import load_breast_cancer\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
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   "outputs": [],
   "source": [
    "features, target = load_breast_cancer(return_X_y=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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    "outputId": "36ae4c7d-4bab-45f0-c54f-3e502bc68392"
   },
   "outputs": [],
   "source": [
    "print(features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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    },
    "colab_type": "code",
    "id": "BE4AL0aWLtQ8",
    "outputId": "9fa31d1d-c463-4669-cfc7-d3eeb339cbc6"
   },
   "outputs": [],
   "source": [
    "print(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YI5uswg-LFu7"
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xxeZg1GJL1GK"
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   "source": [
    "seed = 888"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PO_v8g1QL6Pl"
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   "outputs": [],
   "source": [
    "rf_model = RandomForestClassifier(random_state=seed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 170
    },
    "colab_type": "code",
    "id": "oZXvYZnLMA1-",
    "outputId": "8c985441-7141-4121-d52d-d788b46065bc"
   },
   "outputs": [],
   "source": [
    "rf_model.fit(features, target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
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   "outputs": [],
   "source": [
    "preds = rf_model.predict(features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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    },
    "colab_type": "code",
    "id": "jWIYWJNQMIqo",
    "outputId": "5a618bc5-265f-4aed-b86b-d022ea0f55d1"
   },
   "outputs": [],
   "source": [
    "print(preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BJFEySyvMKpo"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "-NhTHR8XMUwW",
    "outputId": "096200a6-5040-4b80-8be1-5c5bf05c3caa"
   },
   "outputs": [],
   "source": [
    "accuracy_score(target, preds)"
   ]
  }
 ],
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