2-2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 데이터 전처리"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table align=\"left\">\n",
    "  <td>\n",
    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/rickiepark/hg-mldl/blob/master/2-2.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />구글 코랩에서 실행하기</a>\n",
    "  </td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 넘파이로 데이터 준비하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "SLUDuHl8oJZX"
   },
   "outputs": [],
   "source": [
    "fish_length = [25.4, 26.3, 26.5, 29.0, 29.0, 29.7, 29.7, 30.0, 30.0, 30.7, 31.0, 31.0, \n",
    "                31.5, 32.0, 32.0, 32.0, 33.0, 33.0, 33.5, 33.5, 34.0, 34.0, 34.5, 35.0, \n",
    "                35.0, 35.0, 35.0, 36.0, 36.0, 37.0, 38.5, 38.5, 39.5, 41.0, 41.0, 9.8, \n",
    "                10.5, 10.6, 11.0, 11.2, 11.3, 11.8, 11.8, 12.0, 12.2, 12.4, 13.0, 14.3, 15.0]\n",
    "fish_weight = [242.0, 290.0, 340.0, 363.0, 430.0, 450.0, 500.0, 390.0, 450.0, 500.0, 475.0, 500.0, \n",
    "                500.0, 340.0, 600.0, 600.0, 700.0, 700.0, 610.0, 650.0, 575.0, 685.0, 620.0, 680.0, \n",
    "                700.0, 725.0, 720.0, 714.0, 850.0, 1000.0, 920.0, 955.0, 925.0, 975.0, 950.0, 6.7, \n",
    "                7.5, 7.0, 9.7, 9.8, 8.7, 10.0, 9.9, 9.8, 12.2, 13.4, 12.2, 19.7, 19.9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "0-OTt0n1LMjf"
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 69
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1766,
     "status": "ok",
     "timestamp": 1586946244606,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "zNlIVTw_lUIk",
    "outputId": "eddce28d-8e26-4519-af4d-e8316b7f1d06"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 4],\n",
       "       [2, 5],\n",
       "       [3, 6]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.column_stack(([1,2,3], [4,5,6]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ILMRbWnkLZVF"
   },
   "outputs": [],
   "source": [
    "fish_data = np.column_stack((fish_length, fish_weight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 104
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1756,
     "status": "ok",
     "timestamp": 1586946244607,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "qbyxwJkoLh5W",
    "outputId": "f68fa4de-dc57-4d01-d189-e862bf799956"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 25.4 242. ]\n",
      " [ 26.3 290. ]\n",
      " [ 26.5 340. ]\n",
      " [ 29.  363. ]\n",
      " [ 29.  430. ]]\n"
     ]
    }
   ],
   "source": [
    "print(fish_data[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1751,
     "status": "ok",
     "timestamp": 1586946244607,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "GgyJLb06yzEy",
    "outputId": "81c4d6c9-2490-44d1-a5c0-6e5e567628a6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1. 1. 1. 1. 1.]\n"
     ]
    }
   ],
   "source": [
    "print(np.ones(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-ScgL2hIL0FB"
   },
   "outputs": [],
   "source": [
    "fish_target = np.concatenate((np.ones(35), np.zeros(14)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 69
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1740,
     "status": "ok",
     "timestamp": 1586946244608,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "ZepGdT9uL7tA",
    "outputId": "804be353-3d2a-4753-cb0b-1cbef617da45"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.\n",
      " 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      " 0.]\n"
     ]
    }
   ],
   "source": [
    "print(fish_target)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 사이킷런으로 훈련 세트와 테스트 세트 나누기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vpkI83t3KBsF"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "l-gm9r-jKMJY"
   },
   "outputs": [],
   "source": [
    "train_input, test_input, train_target, test_target = train_test_split(\n",
    "    fish_data, fish_target, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1726,
     "status": "ok",
     "timestamp": 1586946244609,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "CS696_mxKZ38",
    "outputId": "3e916d08-74f0-4d27-9d0c-05d7923563f1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(36, 2) (13, 2)\n"
     ]
    }
   ],
   "source": [
    "print(train_input.shape, test_input.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1719,
     "status": "ok",
     "timestamp": 1586946244609,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "PtNqwNjbKnI-",
    "outputId": "2f333e96-bb41-43b9-88d2-7dbd4dd4c37f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(36,) (13,)\n"
     ]
    }
   ],
   "source": [
    "print(train_target.shape, test_target.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1714,
     "status": "ok",
     "timestamp": 1586946244610,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "mR9_bB3COHaA",
    "outputId": "62425802-17a2-41d9-d0b0-bc2ea8062733"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n"
     ]
    }
   ],
   "source": [
    "print(test_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vUv0gHOuO_wg"
   },
   "outputs": [],
   "source": [
    "train_input, test_input, train_target, test_target = train_test_split(\n",
    "    fish_data, fish_target, stratify=fish_target, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1705,
     "status": "ok",
     "timestamp": 1586946244611,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "aDkLM6oDPdO9",
    "outputId": "51a9fe38-d807-4009-be09-c8cf03e27d2a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0. 0. 1. 0. 1. 0. 1. 1. 1. 1. 1. 1. 1.]\n"
     ]
    }
   ],
   "source": [
    "print(test_target)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 수상한 도미 한마리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2215,
     "status": "ok",
     "timestamp": 1586946245127,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "HhB-Alz--6U4",
    "outputId": "ec8fab29-c9f2-44b5-c412-4ad5a94572d6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "kn = KNeighborsClassifier()\n",
    "kn.fit(train_input, train_target)\n",
    "kn.score(test_input, test_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2209,
     "status": "ok",
     "timestamp": 1586946245128,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "JRKoCZFeT9xE",
    "outputId": "e55a114c-dbab-482f-92a2-80b7f97d32a6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.]\n"
     ]
    }
   ],
   "source": [
    "print(kn.predict([[25, 150]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "jSEc853pQHSu"
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2200,
     "status": "ok",
     "timestamp": 1586946245128,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "1-GE9ic9_XRU",
    "outputId": "75a11b7d-df93-4560-9aff-194077c8bc70"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(train_input[:,0], train_input[:,1])\n",
    "plt.scatter(25, 150, marker='^')\n",
    "plt.xlabel('length')\n",
    "plt.ylabel('weight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "G_jwm_ouQKQ7"
   },
   "outputs": [],
   "source": [
    "distances, indexes = kn.kneighbors([[25, 150]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2192,
     "status": "ok",
     "timestamp": 1586946245129,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "tVVz-wJoQ2ps",
    "outputId": "3a3d0916-035d-496f-bab3-e2d03ab37d23"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(train_input[:,0], train_input[:,1])\n",
    "plt.scatter(25, 150, marker='^')\n",
    "plt.scatter(train_input[indexes,0], train_input[indexes,1], marker='D')\n",
    "plt.xlabel('length')\n",
    "plt.ylabel('weight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 104
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2755,
     "status": "ok",
     "timestamp": 1586946245698,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "0IvKvCx1RyhY",
    "outputId": "65c78db7-6f19-4c4b-a6b9-eadae9bec677"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[ 25.4 242. ]\n",
      "  [ 15.   19.9]\n",
      "  [ 14.3  19.7]\n",
      "  [ 13.   12.2]\n",
      "  [ 12.2  12.2]]]\n"
     ]
    }
   ],
   "source": [
    "print(train_input[indexes])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2749,
     "status": "ok",
     "timestamp": 1586946245698,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "3tEGpNPT00ut",
    "outputId": "7a7f558e-a6e3-491d-bd98-a72221cfaa44"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1. 0. 0. 0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "print(train_target[indexes])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2743,
     "status": "ok",
     "timestamp": 1586946245698,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "ry0R_gEqRVsQ",
    "outputId": "9e0775a8-8e42-407a-86e2-d435e47c452b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 92.00086956 130.48375378 130.73859415 138.32150953 138.39320793]]\n"
     ]
    }
   ],
   "source": [
    "print(distances)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 기준을 맞춰라"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2739,
     "status": "ok",
     "timestamp": 1586946245699,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "P6PXDboiTx_j",
    "outputId": "b8683f98-b099-47a1-83ee-944da738d0a2",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(train_input[:,0], train_input[:,1])\n",
    "plt.scatter(25, 150, marker='^')\n",
    "plt.scatter(train_input[indexes,0], train_input[indexes,1], marker='D')\n",
    "plt.xlim((0, 1000))\n",
    "plt.xlabel('length')\n",
    "plt.ylabel('weight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Yi9xncqkUGIZ"
   },
   "outputs": [],
   "source": [
    "mean = np.mean(train_input, axis=0)\n",
    "std = np.std(train_input, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2730,
     "status": "ok",
     "timestamp": 1586946245699,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "f7CuQC8IUsty",
    "outputId": "116fb663-23ab-4109-fa20-d044f8f7b9bc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 27.29722222 454.09722222] [  9.98244253 323.29893931]\n"
     ]
    }
   ],
   "source": [
    "print(mean, std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "jmSFa3LzUteI"
   },
   "outputs": [],
   "source": [
    "train_scaled = (train_input - mean) / std"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 전처리 데이터로 모델 훈련하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2722,
     "status": "ok",
     "timestamp": 1586946245700,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "P4dx2WDOVDMD",
    "outputId": "007a36c6-a1a1-47cc-87c7-cac87ce3338c",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(train_scaled[:,0], train_scaled[:,1])\n",
    "plt.scatter(25, 150, marker='^')\n",
    "plt.xlabel('length')\n",
    "plt.ylabel('weight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Kjd2W6ZbVlgG"
   },
   "outputs": [],
   "source": [
    "new = ([25, 150] - mean) / std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3248,
     "status": "ok",
     "timestamp": 1586946246235,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "5-Zq-jIMVbV-",
    "outputId": "30faf470-c5a5-40aa-c949-890d73a6e7aa"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(train_scaled[:,0], train_scaled[:,1])\n",
    "plt.scatter(new[0], new[1], marker='^')\n",
    "plt.xlabel('length')\n",
    "plt.ylabel('weight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 69
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3244,
     "status": "ok",
     "timestamp": 1586946246236,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "NbsFki8MVtrn",
    "outputId": "32009b15-bd67-49db-a0d4-cd46c4d87e7f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kn.fit(train_scaled, train_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "5uc_k1nlWnNN"
   },
   "outputs": [],
   "source": [
    "test_scaled = (test_input - mean) / std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3235,
     "status": "ok",
     "timestamp": 1586946246236,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "6PfEwPLxWvdz",
    "outputId": "22ed21d8-5dce-48d3-dd0e-ae2b8d941326"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kn.score(test_scaled, test_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3229,
     "status": "ok",
     "timestamp": 1586946246237,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "mox3oWCLWzGW",
    "outputId": "a1a28b56-5e4e-4457-fcc1-0ed37100a417"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.]\n"
     ]
    }
   ],
   "source": [
    "print(kn.predict([new]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "bRU4r44-W1t3"
   },
   "outputs": [],
   "source": [
    "distances, indexes = kn.kneighbors([new])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3221,
     "status": "ok",
     "timestamp": 1586946246237,
     "user": {
      "displayName": "Haesun Park",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhsWlS7sKQL-9fIkg3FmxpTMz_u-KDSs8y__P1ngQ=s64",
      "userId": "14935388527648823821"
     },
     "user_tz": -540
    },
    "id": "bHWAbdefW9W6",
    "outputId": "568827d0-f35e-44ea-c8e8-0ba8a3965d28"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(train_scaled[:,0], train_scaled[:,1])\n",
    "plt.scatter(new[0], new[1], marker='^')\n",
    "plt.scatter(train_scaled[indexes,0], train_scaled[indexes,1], marker='D')\n",
    "plt.xlabel('length')\n",
    "plt.ylabel('weight')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyPNxLB7vUl4gZRQv82Jl/eF",
   "collapsed_sections": [],
   "name": "2-2. 데이터 전처리",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}