Add penguin_binary_classification_v2.ipynb

penguins_binary_classification_v2.ipynb

@@ -1494,7 +1494,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
@@ -1509,7 +1509,7 @@
        "       0, 0, 0, 1, 0])"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1518,6 +1518,308 @@
     "log.predict(X_test)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "pandas.core.frame.DataFrame"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(df_dummy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "bill_length_mm         36.6\n",
+       "bill_depth_mm          18.4\n",
+       "flipper_length_mm     184.0\n",
+       "body_mass_g          3475.0\n",
+       "year                 2009.0\n",
+       "species_Adelie          1.0\n",
+       "species_Gentoo          0.0\n",
+       "island_Biscoe           0.0\n",
+       "island_Dream            1.0\n",
+       "island_Torgersen        0.0\n",
+       "Name: 146, dtype: float64"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dummy.iloc[27]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "pandas.core.series.Series"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(df_dummy.iloc[27])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "bill_length_mm         36.6\n",
+       "bill_depth_mm          18.4\n",
+       "flipper_length_mm     184.0\n",
+       "body_mass_g          3475.0\n",
+       "Name: 146, dtype: float64"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dummy[[\"bill_length_mm\", \"bill_depth_mm\", \"flipper_length_mm\", \"body_mass_g\"]].iloc[27]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "bill_length_mm         37.9\n",
+       "bill_depth_mm          18.6\n",
+       "flipper_length_mm     172.0\n",
+       "body_mass_g          3150.0\n",
+       "Name: 27, dtype: float64"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dummy[[\"bill_length_mm\", \"bill_depth_mm\", \"flipper_length_mm\", \"body_mass_g\"]].loc[27]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "index = 250"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>bill_length_mm</th>\n",
+       "      <th>bill_depth_mm</th>\n",
+       "      <th>flipper_length_mm</th>\n",
+       "      <th>body_mass_g</th>\n",
+       "      <th>year</th>\n",
+       "      <th>species_Adelie</th>\n",
+       "      <th>species_Gentoo</th>\n",
+       "      <th>island_Biscoe</th>\n",
+       "      <th>island_Dream</th>\n",
+       "      <th>island_Torgersen</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>250</th>\n",
+       "      <td>51.1</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>225.0</td>\n",
+       "      <td>5250.0</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     bill_length_mm  bill_depth_mm  flipper_length_mm  body_mass_g  year  \\\n",
+       "250            51.1           16.5              225.0       5250.0  2009   \n",
+       "\n",
+       "     species_Adelie  species_Gentoo  island_Biscoe  island_Dream  \\\n",
+       "250               0               1              1             0   \n",
+       "\n",
+       "     island_Torgersen  \n",
+       "250                 0  "
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dummy.filter(items=[index], axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>bill_length_mm</th>\n",
+       "      <th>bill_depth_mm</th>\n",
+       "      <th>flipper_length_mm</th>\n",
+       "      <th>body_mass_g</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>250</th>\n",
+       "      <td>51.1</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>225.0</td>\n",
+       "      <td>5250.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     bill_length_mm  bill_depth_mm  flipper_length_mm  body_mass_g\n",
+       "250            51.1           16.5              225.0       5250.0"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dummy.filter(items=[index], axis=0)[[\"bill_length_mm\", \"bill_depth_mm\", \"flipper_length_mm\", \"body_mass_g\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "250    1\n",
+       "Name: species_Gentoo, dtype: int64"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dummy.filter(items=[index], axis=0)[\"species_Gentoo\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1])"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "log.predict(df_dummy.filter(items=[index], axis=0)[[\"bill_length_mm\", \"bill_depth_mm\", \"flipper_length_mm\", \"body_mass_g\"]])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 15,