Using OpenML 3.ipynb

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       "OpenML Dataset\n",
       "==============\n",
       "Name..........: iris\n",
       "Version.......: 1\n",
       "Format........: ARFF\n",
       "Upload Date...: 2014-04-06 23:23:39\n",
       "Licence.......: Public\n",
       "Download URL..: https://www.openml.org/data/v1/download/61/iris.arff\n",
       "OpenML URL....: https://www.openml.org/d/61\n",
       "# of features.: 5\n",
       "# of instances: 150"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = openml.datasets.get_dataset(61)\n",
    "iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: [0 - sepallength (numeric)],\n",
       " 1: [1 - sepalwidth (numeric)],\n",
       " 2: [2 - petallength (numeric)],\n",
       " 3: [3 - petalwidth (numeric)],\n",
       " 4: [4 - class (nominal)]}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**Author**: R.A. Fisher  \n",
      "**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Iris) - 1936 - Donated by Michael Marshall  \n",
      "**Please cite**:   \n",
      "\n",
      "**Iris Plants Database**  \n",
      "This is perhaps the best known database to be found in the pattern recognition literature.  Fisher's paper is a classic in the field and is referenced frequently to this day.  (See Duda & Hart, for example.)  The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant.  One class is     linearly separable from the other 2; the latter are NOT linearly separable from each other.\n",
      "\n",
      "Predicted attribute: class of iris plant.  \n",
      "This is an exceedingly simple domain.  \n",
      " \n",
      "### Attribute Information:\n",
      "    1. sepal length in cm\n",
      "    2. sepal width in cm\n",
      "    3. petal length in cm\n",
      "    4. petal width in cm\n",
      "    5. class: \n",
      "       -- Iris Setosa\n",
      "       -- Iris Versicolour\n",
      "       -- Iris Virginica\n"
     ]
    }
   ],
   "source": [
    "print(iris.description)"
   ]
  }
 ],
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