Day_055_HW.ipynb

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 "cells": [
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   "cell_type": "markdown",
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   "source": [
    "# 作業\n",
    "\n",
    "- 作業目標 : iris (dataset.load_iris()) 資料嘗試跑 kmeans (可以測試不同的群數 , init 等)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import datasets\n",
    "\n",
    "iris = datasets.load_iris()\n",
    "X = iris.data\n",
    "y = iris.target"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 載入 相關套件 並 執行 kmean 實驗 ...\n",
    "\n",
    "- 實驗測試不同的群數\n",
    "- 實驗測試不同的初始值\n",
    "- 呈現結果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "np.random.seed(5)\n",
    "# y = pd.DataFrame(y)\n",
    "# print(y[0].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8933333333333333\n"
     ]
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "y_pred = KMeans(n_clusters=3, n_init=3, random_state=10).fit(X).labels_\n",
    "print(accuracy_score(y,y_pred))\n",
    "# print(y_pred, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6466666666666666\n"
     ]
    }
   ],
   "source": [
    "y_pred = KMeans(n_clusters=2, n_init=3, random_state= 10).fit(X).labels_\n",
    "print(accuracy_score(y,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.16\n"
     ]
    }
   ],
   "source": [
    "y_pred = KMeans(n_clusters=5, n_init=5).fit(X).labels_\n",
    "print(accuracy_score(y,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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