2 lines
70 KiB
Plaintext
2 lines
70 KiB
Plaintext
{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":422,"status":"ok","timestamp":1696951840697,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"veKEtGweNaXi"},"outputs":[],"source":["import pandas as pd\n","import numpy as np"]},{"cell_type":"code","execution_count":191,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1696952151344,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"w7poi-MONhxI","outputId":"379c3cbe-96bc-4d7e-d27f-dd56d02a817b"},"outputs":[],"source":["df_train = pd.read_csv('train.tsv', sep='\\t', header=None)"]},{"cell_type":"code","execution_count":192,"metadata":{"executionInfo":{"elapsed":226,"status":"ok","timestamp":1696952356655,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"8vT9n8oCPIhS"},"outputs":[],"source":["pd.set_option('display.max_columns', 500)"]},{"cell_type":"code","execution_count":193,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":643},"executionInfo":{"elapsed":254,"status":"ok","timestamp":1696952363298,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"hbfWxhoOOeQH","outputId":"3a4608d9-8d37-47c3-b28e-d64be0c43e2d"},"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>0</th>\n"," <th>1</th>\n"," <th>2</th>\n"," <th>3</th>\n"," <th>4</th>\n"," <th>5</th>\n"," <th>6</th>\n"," <th>7</th>\n"," <th>8</th>\n"," <th>9</th>\n"," <th>10</th>\n"," <th>11</th>\n"," <th>12</th>\n"," <th>13</th>\n"," <th>14</th>\n"," <th>15</th>\n"," <th>16</th>\n"," <th>17</th>\n"," <th>18</th>\n"," <th>19</th>\n"," <th>20</th>\n"," <th>21</th>\n"," <th>22</th>\n"," <th>23</th>\n"," <th>24</th>\n"," <th>25</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>309000.0</td>\n"," <td>do zamieszkania</td>\n"," <td>390 zł</td>\n"," <td>spółdzielcze własnościowe</td>\n"," <td>7113</td>\n"," <td>https://www.otodom.pl/oferta/niezalezny-uklad-...</td>\n"," <td>2</td>\n"," <td>NaN</td>\n"," <td>43.44</td>\n"," <td>wtórny</td>\n"," <td>4.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Niezależny Układ W Nowoczesnym Wydaniu</td>\n"," <td>1</td>\n"," <td>NaN</td>\n"," <td>gazowe</td>\n"," <td>plastikowe</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>cegła</td>\n"," <td>Polecamy na sprzedaż dwupokojowe mieszkanie p...</td>\n"," <td>NaN</td>\n"," <td>telewizja kablowa, internet, meble, piwnica, g...</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>314900.0</td>\n"," <td>do wykończenia</td>\n"," <td>NaN</td>\n"," <td>pełna własność</td>\n"," <td>7392</td>\n"," <td>https://www.otodom.pl/oferta/urokliwe-mieszkan...</td>\n"," <td>2</td>\n"," <td>NaN</td>\n"," <td>42.60</td>\n"," <td>pierwotny</td>\n"," <td>2.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Urokliwe mieszkanie 2 pokojowe Strzeszyn</td>\n"," <td>1</td>\n"," <td>NaN</td>\n"," <td>gazowe</td>\n"," <td>plastikowe</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>cegła</td>\n"," <td>Kameralne 2 pokojowe mieszkanie z aneksem kuc...</td>\n"," <td>NaN</td>\n"," <td>telewizja kablowa, internet, telefon, drzwi / ...</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>249000.0</td>\n"," <td>do remontu</td>\n"," <td>300 zł</td>\n"," <td>pełna własność</td>\n"," <td>5621</td>\n"," <td>https://www.otodom.pl/oferta/mieszkanie-do-rem...</td>\n"," <td>2</td>\n"," <td>NaN</td>\n"," <td>44.30</td>\n"," <td>wtórny</td>\n"," <td>4.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Mieszkanie do remontu ul. Klonowa, blisko tramwaj</td>\n"," <td>2</td>\n"," <td>NaN</td>\n"," <td>miejskie</td>\n"," <td>plastikowe</td>\n"," <td>1960.0</td>\n"," <td>NaN</td>\n"," <td>2019-06-30</td>\n"," <td>cegła</td>\n"," <td>Oferta bezpośrednio od właściciela - bez pośr...</td>\n"," <td>NaN</td>\n"," <td>telewizja kablowa, internet, telefon, domofon ...</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>419000.0</td>\n"," <td>do zamieszkania</td>\n"," <td>490 zł</td>\n"," <td>pełna własność</td>\n"," <td>4761</td>\n"," <td>https://www.otodom.pl/oferta/w-szeregowcu-4-po...</td>\n"," <td>4</td>\n"," <td>NaN</td>\n"," <td>88</td>\n"," <td>wtórny</td>\n"," <td>3.0</td>\n"," <td>szeregowiec</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>W szeregowcu 4 pokoje z garażem</td>\n"," <td>1</td>\n"," <td>NaN</td>\n"," <td>gazowe</td>\n"," <td>plastikowe</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>cegła</td>\n"," <td>Drodzy Państwo Zapraszam do zapoznania się z ...</td>\n"," <td>NaN</td>\n"," <td>telewizja kablowa, internet, zmywarka, lodówka...</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>499000.0</td>\n"," <td>NaN</td>\n"," <td>850 zł</td>\n"," <td>NaN</td>\n"," <td>6481</td>\n"," <td>https://www.otodom.pl/oferta/komfortowe-przest...</td>\n"," <td>3</td>\n"," <td>NaN</td>\n"," <td>77</td>\n"," <td>wtórny</td>\n"," <td>16.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Komfortowe,Przestronne,3Pokoje, Armii Krajowej!!!</td>\n"," <td>7</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>plastikowe</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Biuro Immohouse ma przyjemność proponować do ...</td>\n"," <td>NaN</td>\n"," <td>balkon, piwnica, winda</td>\n"," </tr>\n"," </tbody>\n","</table>\n","</div>"],"text/plain":[" 0 1 2 3 4 \\\n","0 309000.0 do zamieszkania 390 zł spółdzielcze własnościowe 7113 \n","1 314900.0 do wykończenia NaN pełna własność 7392 \n","2 249000.0 do remontu 300 zł pełna własność 5621 \n","3 419000.0 do zamieszkania 490 zł pełna własność 4761 \n","4 499000.0 NaN 850 zł NaN 6481 \n","\n"," 5 6 7 8 9 \\\n","0 https://www.otodom.pl/oferta/niezalezny-uklad-... 2 NaN 43.44 wtórny \n","1 https://www.otodom.pl/oferta/urokliwe-mieszkan... 2 NaN 42.60 pierwotny \n","2 https://www.otodom.pl/oferta/mieszkanie-do-rem... 2 NaN 44.30 wtórny \n","3 https://www.otodom.pl/oferta/w-szeregowcu-4-po... 4 NaN 88 wtórny \n","4 https://www.otodom.pl/oferta/komfortowe-przest... 3 NaN 77 wtórny \n","\n"," 10 11 12 13 \\\n","0 4.0 blok NaN NaN \n","1 2.0 blok NaN NaN \n","2 4.0 blok NaN NaN \n","3 3.0 szeregowiec NaN NaN \n","4 16.0 blok NaN NaN \n","\n"," 14 15 16 17 \\\n","0 Niezależny Układ W Nowoczesnym Wydaniu 1 NaN gazowe \n","1 Urokliwe mieszkanie 2 pokojowe Strzeszyn 1 NaN gazowe \n","2 Mieszkanie do remontu ul. Klonowa, blisko tramwaj 2 NaN miejskie \n","3 W szeregowcu 4 pokoje z garażem 1 NaN gazowe \n","4 Komfortowe,Przestronne,3Pokoje, Armii Krajowej!!! 7 NaN NaN \n","\n"," 18 19 20 21 22 \\\n","0 plastikowe NaN NaN NaN cegła \n","1 plastikowe NaN NaN NaN cegła \n","2 plastikowe 1960.0 NaN 2019-06-30 cegła \n","3 plastikowe NaN NaN NaN cegła \n","4 plastikowe NaN NaN NaN NaN \n","\n"," 23 24 \\\n","0 Polecamy na sprzedaż dwupokojowe mieszkanie p... NaN \n","1 Kameralne 2 pokojowe mieszkanie z aneksem kuc... NaN \n","2 Oferta bezpośrednio od właściciela - bez pośr... NaN \n","3 Drodzy Państwo Zapraszam do zapoznania się z ... NaN \n","4 Biuro Immohouse ma przyjemność proponować do ... NaN \n","\n"," 25 \n","0 telewizja kablowa, internet, meble, piwnica, g... \n","1 telewizja kablowa, internet, telefon, drzwi / ... \n","2 telewizja kablowa, internet, telefon, domofon ... \n","3 telewizja kablowa, internet, zmywarka, lodówka... \n","4 balkon, piwnica, winda "]},"execution_count":193,"metadata":{},"output_type":"execute_result"}],"source":["df_train.head()"]},{"cell_type":"markdown","metadata":{"id":"nt0TOLw5RAqS"},"source":["1,2,6, 8, 9 - to bedziemy w aplikacji używać\n"]},{"cell_type":"code","execution_count":194,"metadata":{},"outputs":[],"source":["df_train = df_train.iloc[:, [0, 1, 2, 6, 8, 9]]"]},{"cell_type":"code","execution_count":195,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1696952402833,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"QdXwQzPsOza0","outputId":"d5d231f0-da54-432f-9bd6-454d4063eaff"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 2547 entries, 0 to 2546\n","Data columns (total 6 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 0 2547 non-null float64\n"," 1 1 1519 non-null object \n"," 2 2 929 non-null object \n"," 3 6 2547 non-null object \n"," 4 8 2547 non-null object \n"," 5 9 2547 non-null object \n","dtypes: float64(1), object(5)\n","memory usage: 119.5+ KB\n"]}],"source":["df_train.info()"]},{"cell_type":"code","execution_count":196,"metadata":{},"outputs":[],"source":["df_train.rename(columns={0: \"cena m\", 1: \"stan\", 2: \"czynsz\", 6: \"l pokoi\", 8: \"metraż\", 9: \"rynek\"}, inplace=True)"]},{"cell_type":"code","execution_count":197,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 2547 entries, 0 to 2546\n","Data columns (total 6 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 cena m 2547 non-null float64\n"," 1 stan 1519 non-null object \n"," 2 czynsz 929 non-null object \n"," 3 l pokoi 2547 non-null object \n"," 4 metraż 2547 non-null object \n"," 5 rynek 2547 non-null object \n","dtypes: float64(1), object(5)\n","memory usage: 119.5+ KB\n"]}],"source":["df_train.info()"]},{"cell_type":"markdown","metadata":{},"source":["Usunięcie kolumn, w których jest dużo pustych wartości"]},{"cell_type":"code","execution_count":198,"metadata":{"executionInfo":{"elapsed":249,"status":"ok","timestamp":1696953612119,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"x6jB9brYRSTJ"},"outputs":[],"source":["df_train.drop(columns = ['czynsz'], axis=1, inplace=True)"]},{"cell_type":"code","execution_count":199,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":608},"executionInfo":{"elapsed":339,"status":"ok","timestamp":1696953613765,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"NIzvOY2BQqTK","outputId":"ceaa0534-470a-4296-f51c-97f1b9904190"},"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>cena m</th>\n"," <th>stan</th>\n"," <th>l pokoi</th>\n"," <th>metraż</th>\n"," <th>rynek</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>309000.0</td>\n"," <td>do zamieszkania</td>\n"," <td>2</td>\n"," <td>43.44</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>314900.0</td>\n"," <td>do wykończenia</td>\n"," <td>2</td>\n"," <td>42.60</td>\n"," <td>pierwotny</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>249000.0</td>\n"," <td>do remontu</td>\n"," <td>2</td>\n"," <td>44.30</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>419000.0</td>\n"," <td>do zamieszkania</td>\n"," <td>4</td>\n"," <td>88</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>499000.0</td>\n"," <td>NaN</td>\n"," <td>3</td>\n"," <td>77</td>\n"," <td>wtórny</td>\n"," </tr>\n"," </tbody>\n","</table>\n","</div>"],"text/plain":[" cena m stan l pokoi metraż rynek\n","0 309000.0 do zamieszkania 2 43.44 wtórny\n","1 314900.0 do wykończenia 2 42.60 pierwotny\n","2 249000.0 do remontu 2 44.30 wtórny\n","3 419000.0 do zamieszkania 4 88 wtórny\n","4 499000.0 NaN 3 77 wtórny"]},"execution_count":199,"metadata":{},"output_type":"execute_result"}],"source":["df_train.head()"]},{"cell_type":"markdown","metadata":{},"source":["Uzupełnianie braków w danych "]},{"cell_type":"code","execution_count":200,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1696953649491,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"qNqxEsnNUZcH","outputId":"33ce3384-6b79-4795-c582-0d8fd8457943"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 2547 entries, 0 to 2546\n","Data columns (total 5 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 cena m 2547 non-null float64\n"," 1 stan 1519 non-null object \n"," 2 l pokoi 2547 non-null object \n"," 3 metraż 2547 non-null object \n"," 4 rynek 2547 non-null object \n","dtypes: float64(1), object(4)\n","memory usage: 99.6+ KB\n"]}],"source":["df_train.info()"]},{"cell_type":"code","execution_count":201,"metadata":{"executionInfo":{"elapsed":245,"status":"ok","timestamp":1696953995554,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"5BTDYi_xUdGF"},"outputs":[],"source":["df_train['stan'].fillna('brak info', inplace=True)"]},{"cell_type":"code","execution_count":202,"metadata":{},"outputs":[],"source":["df_train = df_train[df_train['metraż'] != \"6 909\"]"]},{"cell_type":"code","execution_count":203,"metadata":{},"outputs":[],"source":["df_train = df_train[df_train['l pokoi'] != \"więcej niż 10\"]"]},{"cell_type":"code","execution_count":204,"metadata":{},"outputs":[],"source":["df_train['l pokoi'] = pd.to_numeric(df_train['l pokoi'])"]},{"cell_type":"code","execution_count":205,"metadata":{},"outputs":[],"source":["df_train['metraż'] = pd.to_numeric(df_train['metraż'])"]},{"cell_type":"code","execution_count":206,"metadata":{},"outputs":[],"source":["X_train = df_train.drop(columns = [\"cena m\"])\n","y_train = df_train[\"cena m\"]"]},{"cell_type":"code","execution_count":207,"metadata":{"executionInfo":{"elapsed":240,"status":"ok","timestamp":1696955504933,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"LW2CpZn6V5sl"},"outputs":[],"source":["number_cols = X_train.select_dtypes(exclude=[object]).columns\n","object_cols = X_train.select_dtypes(include=[object]).columns"]},{"cell_type":"code","execution_count":208,"metadata":{"executionInfo":{"elapsed":6,"status":"ok","timestamp":1696954577003,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"DJOcANTvXMjl"},"outputs":[],"source":["from sklearn.compose import ColumnTransformer\n","from sklearn.preprocessing import OneHotEncoder\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.pipeline import make_pipeline"]},{"cell_type":"code","execution_count":209,"metadata":{"executionInfo":{"elapsed":240,"status":"ok","timestamp":1696955508626,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"5nvY10OHXjEw"},"outputs":[],"source":["ct = ColumnTransformer([\n"," (number_cols, StandardScaler()),\n"," (object_cols, OneHotEncoder())\n"," ],remainder='passthrough')\n"]},{"cell_type":"code","execution_count":210,"metadata":{"executionInfo":{"elapsed":529,"status":"ok","timestamp":1696954626952,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"wcGvPEZzYDPZ"},"outputs":[],"source":["from sklearn.linear_model import Ridge"]},{"cell_type":"code","execution_count":211,"metadata":{"executionInfo":{"elapsed":343,"status":"ok","timestamp":1696955511401,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"4z3w4bzbYseK"},"outputs":[],"source":["scaler = StandardScaler()\n","encoder = OneHotEncoder()\n","# putting numeric columns to scaler and categorical to encoder\n","num_transformer = make_pipeline(scaler)\n","cat_transformer = make_pipeline(encoder)\n","\n","# getting together our scaler and encoder with preprocessor\n","preprocessor = ColumnTransformer(\n"," transformers=[('num', num_transformer, number_cols),\n"," ('cat', cat_transformer, object_cols)])"]},{"cell_type":"code","execution_count":212,"metadata":{"executionInfo":{"elapsed":354,"status":"ok","timestamp":1696955513049,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"QXvbFrmXYLtR"},"outputs":[],"source":["clf = Ridge(alpha=1.0)"]},{"cell_type":"code","execution_count":213,"metadata":{"executionInfo":{"elapsed":428,"status":"ok","timestamp":1696955515987,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"pytR_osgX5Lb"},"outputs":[],"source":["model1 = make_pipeline(preprocessor, clf)"]},{"cell_type":"code","execution_count":214,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":608},"executionInfo":{"elapsed":233,"status":"ok","timestamp":1696955309653,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"vzR7OGK8Z-lD","outputId":"6aa1623d-b9fb-46ad-a200-f185708542ac"},"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>stan</th>\n"," <th>l pokoi</th>\n"," <th>metraż</th>\n"," <th>rynek</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>do zamieszkania</td>\n"," <td>2</td>\n"," <td>43.44</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>do wykończenia</td>\n"," <td>2</td>\n"," <td>42.60</td>\n"," <td>pierwotny</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>do remontu</td>\n"," <td>2</td>\n"," <td>44.30</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>do zamieszkania</td>\n"," <td>4</td>\n"," <td>88.00</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>brak info</td>\n"," <td>3</td>\n"," <td>77.00</td>\n"," <td>wtórny</td>\n"," </tr>\n"," </tbody>\n","</table>\n","</div>"],"text/plain":[" stan l pokoi metraż rynek\n","0 do zamieszkania 2 43.44 wtórny\n","1 do wykończenia 2 42.60 pierwotny\n","2 do remontu 2 44.30 wtórny\n","3 do zamieszkania 4 88.00 wtórny\n","4 brak info 3 77.00 wtórny"]},"execution_count":214,"metadata":{},"output_type":"execute_result"}],"source":["X_train.head()"]},{"cell_type":"code","execution_count":215,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1696955419804,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"vcg92-RtbLSH","outputId":"457f8462-c2d8-4721-a19a-fb855998472c"},"outputs":[{"data":{"text/plain":["0 309000.0\n","1 314900.0\n","2 249000.0\n","3 419000.0\n","4 499000.0\n"," ... \n","2541 383680.0\n","2542 507600.0\n","2543 342400.0\n","2544 335000.0\n","2545 260000.0\n","Name: cena m, Length: 2540, dtype: float64"]},"execution_count":215,"metadata":{},"output_type":"execute_result"}],"source":["y_train"]},{"cell_type":"markdown","metadata":{"id":"GY_ZQICKc__t"},"source":["## Model Ridge - regresja liniowa"]},{"cell_type":"code","execution_count":216,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":191},"executionInfo":{"elapsed":236,"status":"ok","timestamp":1696955526976,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"cFvgBYD5YYz7","outputId":"008e021f-cb56-4458-99e8-ca95df32e68d"},"outputs":[{"data":{"text/html":["<style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('columntransformer',\n"," ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])),\n"," ('ridge', Ridge())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-43\" type=\"checkbox\" ><label for=\"sk-estimator-id-43\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[('columntransformer',\n"," ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])),\n"," ('ridge', Ridge())])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-44\" type=\"checkbox\" ><label for=\"sk-estimator-id-44\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">columntransformer: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-45\" type=\"checkbox\" ><label for=\"sk-estimator-id-45\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">num</label><div class=\"sk-toggleable__content\"><pre>Index(['l pokoi', 'metraż'], dtype='object')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-46\" type=\"checkbox\" ><label for=\"sk-estimator-id-46\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-47\" type=\"checkbox\" ><label for=\"sk-estimator-id-47\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">cat</label><div class=\"sk-toggleable__content\"><pre>Index(['stan', 'rynek'], dtype='object')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-48\" type=\"checkbox\" ><label for=\"sk-estimator-id-48\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder()</pre></div></div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-49\" type=\"checkbox\" ><label for=\"sk-estimator-id-49\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Ridge</label><div class=\"sk-toggleable__content\"><pre>Ridge()</pre></div></div></div></div></div></div></div>"],"text/plain":["Pipeline(steps=[('columntransformer',\n"," ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])),\n"," ('ridge', Ridge())])"]},"execution_count":216,"metadata":{},"output_type":"execute_result"}],"source":["model1.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":217,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":451,"status":"ok","timestamp":1696955647207,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"M7X8ScQobnwG","outputId":"a30f27eb-2e34-4a91-fae0-a9ab53505322"},"outputs":[],"source":["df_test = pd.read_csv('in.tsv', sep='\\t', header=None)"]},{"cell_type":"code","execution_count":218,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":573},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1696955652118,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"x3qN4TMKcDfL","outputId":"ed2fa477-65e6-494e-9423-de6894c47ef8"},"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>0</th>\n"," <th>1</th>\n"," <th>2</th>\n"," <th>3</th>\n"," <th>4</th>\n"," <th>5</th>\n"," <th>6</th>\n"," <th>7</th>\n"," <th>8</th>\n"," <th>9</th>\n"," <th>10</th>\n"," <th>11</th>\n"," <th>12</th>\n"," <th>13</th>\n"," <th>14</th>\n"," <th>15</th>\n"," <th>16</th>\n"," <th>17</th>\n"," <th>18</th>\n"," <th>19</th>\n"," <th>20</th>\n"," <th>21</th>\n"," <th>22</th>\n"," <th>23</th>\n"," <th>24</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>do zamieszkania</td>\n"," <td>250 zł</td>\n"," <td>pełna własność</td>\n"," <td>6311</td>\n"," <td>https://www.otodom.pl/oferta/idealne-mieszkani...</td>\n"," <td>3</td>\n"," <td>NaN</td>\n"," <td>59.10</td>\n"," <td>wtórny</td>\n"," <td>4.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>idealne mieszkanie do zamieszkania od zaraz</td>\n"," <td>2</td>\n"," <td>NaN</td>\n"," <td>miejskie</td>\n"," <td>plastikowe</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>wielka płyta</td>\n"," <td>Zamieszkaj od zaraz – idealna lokalizacja OFE...</td>\n"," <td>NaN</td>\n"," <td>telewizja kablowa, internet, telefon, domofon ...</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>do zamieszkania</td>\n"," <td>NaN</td>\n"," <td>pełna własność</td>\n"," <td>7868</td>\n"," <td>https://www.otodom.pl/oferta/2-pokoje-38m2-po-...</td>\n"," <td>2</td>\n"," <td>NaN</td>\n"," <td>38.00</td>\n"," <td>wtórny</td>\n"," <td>12.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>2 pokoje / 38m2 / po remoncie / Winogrady</td>\n"," <td>4</td>\n"," <td>NaN</td>\n"," <td>inne</td>\n"," <td>plastikowe</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Na sprzedaż mieszkanie dwupokojowe na osiedlu...</td>\n"," <td>NaN</td>\n"," <td>balkon</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>do zamieszkania</td>\n"," <td>650 zł</td>\n"," <td>pełna własność</td>\n"," <td>5717</td>\n"," <td>https://www.otodom.pl/oferta/3-pokoje-na-jezyc...</td>\n"," <td>3</td>\n"," <td>NaN</td>\n"," <td>63.84</td>\n"," <td>wtórny</td>\n"," <td>4.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>3 pokoje na Jeżycach blisko Rusałki</td>\n"," <td>4</td>\n"," <td>NaN</td>\n"," <td>miejskie</td>\n"," <td>plastikowe</td>\n"," <td>1958.0</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>cegła</td>\n"," <td>!! Oferta dostępna tylko u nas !! Polecam ofe...</td>\n"," <td>NaN</td>\n"," <td>telewizja kablowa, internet, telefon, piwnica,...</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>do zamieszkania</td>\n"," <td>359 zł</td>\n"," <td>spółdzielcze własnościowe</td>\n"," <td>7380</td>\n"," <td>https://www.otodom.pl/oferta/uniwersytet-przyr...</td>\n"," <td>4</td>\n"," <td>NaN</td>\n"," <td>50.00</td>\n"," <td>wtórny</td>\n"," <td>10.0</td>\n"," <td>blok</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Uniwersytet Przyrodniczy - 4 pokoje - ROI 8-10%</td>\n"," <td>10</td>\n"," <td>NaN</td>\n"," <td>miejskie</td>\n"," <td>plastikowe</td>\n"," <td>1975.0</td>\n"," <td>NaN</td>\n"," <td>2019-06-30</td>\n"," <td>wielka płyta</td>\n"," <td>Oferta bezpośrednio od właściciela - bez po...</td>\n"," <td>NaN</td>\n"," <td>telewizja kablowa, internet, telefon, drzwi / ...</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>7373</td>\n"," <td>https://www.otodom.pl/oferta/mieszkanie-blisko...</td>\n"," <td>3</td>\n"," <td>NaN</td>\n"," <td>65.62</td>\n"," <td>pierwotny</td>\n"," <td>3.0</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>Mieszkanie blisko centrum w kameralnej okolicy.</td>\n"," <td>1</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>NaN</td>\n"," <td>2020.0</td>\n"," <td>NaN</td>\n"," <td>2020-01-01</td>\n"," <td>NaN</td>\n"," <td>MIESZKANIE 3-POKOJOWE O POW.65,62M2 Mieszkani...</td>\n"," <td>NaN</td>\n"," <td>garaż/miejsce parkingowe, taras, pom. użytkowe</td>\n"," </tr>\n"," </tbody>\n","</table>\n","</div>"],"text/plain":[" 0 1 2 3 \\\n","0 do zamieszkania 250 zł pełna własność 6311 \n","1 do zamieszkania NaN pełna własność 7868 \n","2 do zamieszkania 650 zł pełna własność 5717 \n","3 do zamieszkania 359 zł spółdzielcze własnościowe 7380 \n","4 NaN NaN NaN 7373 \n","\n"," 4 5 6 7 \\\n","0 https://www.otodom.pl/oferta/idealne-mieszkani... 3 NaN 59.10 \n","1 https://www.otodom.pl/oferta/2-pokoje-38m2-po-... 2 NaN 38.00 \n","2 https://www.otodom.pl/oferta/3-pokoje-na-jezyc... 3 NaN 63.84 \n","3 https://www.otodom.pl/oferta/uniwersytet-przyr... 4 NaN 50.00 \n","4 https://www.otodom.pl/oferta/mieszkanie-blisko... 3 NaN 65.62 \n","\n"," 8 9 10 11 12 \\\n","0 wtórny 4.0 blok NaN NaN \n","1 wtórny 12.0 blok NaN NaN \n","2 wtórny 4.0 blok NaN NaN \n","3 wtórny 10.0 blok NaN NaN \n","4 pierwotny 3.0 NaN NaN NaN \n","\n"," 13 14 15 16 \\\n","0 idealne mieszkanie do zamieszkania od zaraz 2 NaN miejskie \n","1 2 pokoje / 38m2 / po remoncie / Winogrady 4 NaN inne \n","2 3 pokoje na Jeżycach blisko Rusałki 4 NaN miejskie \n","3 Uniwersytet Przyrodniczy - 4 pokoje - ROI 8-10% 10 NaN miejskie \n","4 Mieszkanie blisko centrum w kameralnej okolicy. 1 NaN NaN \n","\n"," 17 18 19 20 21 \\\n","0 plastikowe NaN NaN NaN wielka płyta \n","1 plastikowe NaN NaN NaN NaN \n","2 plastikowe 1958.0 NaN NaN cegła \n","3 plastikowe 1975.0 NaN 2019-06-30 wielka płyta \n","4 NaN 2020.0 NaN 2020-01-01 NaN \n","\n"," 22 23 \\\n","0 Zamieszkaj od zaraz – idealna lokalizacja OFE... NaN \n","1 Na sprzedaż mieszkanie dwupokojowe na osiedlu... NaN \n","2 !! Oferta dostępna tylko u nas !! Polecam ofe... NaN \n","3 Oferta bezpośrednio od właściciela - bez po... NaN \n","4 MIESZKANIE 3-POKOJOWE O POW.65,62M2 Mieszkani... NaN \n","\n"," 24 \n","0 telewizja kablowa, internet, telefon, domofon ... \n","1 balkon \n","2 telewizja kablowa, internet, telefon, piwnica,... \n","3 telewizja kablowa, internet, telefon, drzwi / ... \n","4 garaż/miejsce parkingowe, taras, pom. użytkowe "]},"execution_count":218,"metadata":{},"output_type":"execute_result"}],"source":["df_test.head()"]},{"cell_type":"code","execution_count":219,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1696955801209,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"UybULQjXcMbT","outputId":"1bd9cb56-50cf-4040-f797-0d54e0293ef5"},"outputs":[],"source":["y_test = pd.read_csv('expected.tsv', sep='\\t', header=None)"]},{"cell_type":"code","execution_count":220,"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>stan</th>\n"," <th>l pokoi</th>\n"," <th>metraż</th>\n"," <th>rynek</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>do zamieszkania</td>\n"," <td>2</td>\n"," <td>43.44</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>do wykończenia</td>\n"," <td>2</td>\n"," <td>42.60</td>\n"," <td>pierwotny</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>do remontu</td>\n"," <td>2</td>\n"," <td>44.30</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>do zamieszkania</td>\n"," <td>4</td>\n"," <td>88.00</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>brak info</td>\n"," <td>3</td>\n"," <td>77.00</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>2541</th>\n"," <td>do wykończenia</td>\n"," <td>3</td>\n"," <td>70.40</td>\n"," <td>pierwotny</td>\n"," </tr>\n"," <tr>\n"," <th>2542</th>\n"," <td>do wykończenia</td>\n"," <td>4</td>\n"," <td>94.00</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>2543</th>\n"," <td>brak info</td>\n"," <td>2</td>\n"," <td>53.50</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>2544</th>\n"," <td>brak info</td>\n"," <td>3</td>\n"," <td>55.25</td>\n"," <td>wtórny</td>\n"," </tr>\n"," <tr>\n"," <th>2545</th>\n"," <td>brak info</td>\n"," <td>3</td>\n"," <td>62.00</td>\n"," <td>wtórny</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>2540 rows × 4 columns</p>\n","</div>"],"text/plain":[" stan l pokoi metraż rynek\n","0 do zamieszkania 2 43.44 wtórny\n","1 do wykończenia 2 42.60 pierwotny\n","2 do remontu 2 44.30 wtórny\n","3 do zamieszkania 4 88.00 wtórny\n","4 brak info 3 77.00 wtórny\n","... ... ... ... ...\n","2541 do wykończenia 3 70.40 pierwotny\n","2542 do wykończenia 4 94.00 wtórny\n","2543 brak info 2 53.50 wtórny\n","2544 brak info 3 55.25 wtórny\n","2545 brak info 3 62.00 wtórny\n","\n","[2540 rows x 4 columns]"]},"execution_count":220,"metadata":{},"output_type":"execute_result"}],"source":["X_train"]},{"cell_type":"code","execution_count":221,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1696955946495,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"WMsGxdMwdMM8","outputId":"d2a8f0ac-4051-465e-d43c-e1fb7b9a3034"},"outputs":[],"source":["df_test.rename(columns={0: \"stan\", 1: \"czynsz\", 5: \"l pokoi\", 7: \"metraż\", 8: \"rynek\"}, inplace=True)"]},{"cell_type":"code","execution_count":222,"metadata":{"executionInfo":{"elapsed":226,"status":"ok","timestamp":1696956067214,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"TNHLwq_5daGO"},"outputs":[{"data":{"text/plain":["Index([ 'stan', 'czynsz', 2, 3, 4, 'l pokoi',\n"," 6, 'metraż', 'rynek', 9, 10, 11,\n"," 12, 13, 14, 15, 16, 17,\n"," 18, 19, 20, 21, 22, 23,\n"," 24],\n"," dtype='object')"]},"execution_count":222,"metadata":{},"output_type":"execute_result"}],"source":["df_test.columns"]},{"cell_type":"code","execution_count":223,"metadata":{},"outputs":[],"source":["df_test = df_test[['stan', 'l pokoi', 'metraż', 'rynek']] "]},{"cell_type":"code","execution_count":224,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1696956090162,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"tbcOpXendvZv","outputId":"93eddcd2-b741-4aa6-b185-59c96dc2e833"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 462 entries, 0 to 461\n","Data columns (total 4 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 stan 275 non-null object \n"," 1 l pokoi 462 non-null int64 \n"," 2 metraż 462 non-null float64\n"," 3 rynek 462 non-null object \n","dtypes: float64(1), int64(1), object(2)\n","memory usage: 14.6+ KB\n"]}],"source":["df_test.info()"]},{"cell_type":"code","execution_count":225,"metadata":{"executionInfo":{"elapsed":323,"status":"ok","timestamp":1696956241887,"user":{"displayName":"Aneta Tlałka","userId":"13389112088336863360"},"user_tz":-120},"id":"j5IFS4YQdKPW"},"outputs":[],"source":["df_test['stan'].fillna('brak info', inplace=True)"]},{"cell_type":"code","execution_count":226,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 462 entries, 0 to 461\n","Data columns (total 4 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 stan 462 non-null object \n"," 1 l pokoi 462 non-null int64 \n"," 2 metraż 462 non-null float64\n"," 3 rynek 462 non-null object \n","dtypes: float64(1), int64(1), object(2)\n","memory usage: 14.6+ KB\n"]}],"source":["df_test.info()"]},{"cell_type":"code","execution_count":227,"metadata":{},"outputs":[{"data":{"text/plain":["0 59.10\n","1 38.00\n","2 63.84\n","3 50.00\n","4 65.62\n"," ... \n","457 72.78\n","458 51.23\n","459 54.16\n","460 90.10\n","461 71.90\n","Name: metraż, Length: 462, dtype: float64"]},"execution_count":227,"metadata":{},"output_type":"execute_result"}],"source":["df_test['metraż']"]},{"cell_type":"code","execution_count":228,"metadata":{},"outputs":[],"source":["df_test.reset_index(drop=True, inplace=True)"]},{"cell_type":"code","execution_count":229,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 462 entries, 0 to 461\n","Data columns (total 4 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 stan 462 non-null object \n"," 1 l pokoi 462 non-null int64 \n"," 2 metraż 462 non-null float64\n"," 3 rynek 462 non-null object \n","dtypes: float64(1), int64(1), object(2)\n","memory usage: 14.6+ KB\n"]}],"source":["df_test.info()"]},{"cell_type":"code","execution_count":230,"metadata":{},"outputs":[{"data":{"text/html":["<style>#sk-container-id-8 {color: black;}#sk-container-id-8 pre{padding: 0;}#sk-container-id-8 div.sk-toggleable {background-color: white;}#sk-container-id-8 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-8 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-8 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-8 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-8 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-8 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-8 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-8 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-8 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-8 div.sk-item {position: relative;z-index: 1;}#sk-container-id-8 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-8 div.sk-item::before, #sk-container-id-8 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-8 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-8 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-8 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-8 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-8 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-8 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-8 div.sk-label-container {text-align: center;}#sk-container-id-8 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-8 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('columntransformer',\n"," ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])),\n"," ('ridge', Ridge())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-50\" type=\"checkbox\" ><label for=\"sk-estimator-id-50\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[('columntransformer',\n"," ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])),\n"," ('ridge', Ridge())])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-51\" type=\"checkbox\" ><label for=\"sk-estimator-id-51\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">columntransformer: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-52\" type=\"checkbox\" ><label for=\"sk-estimator-id-52\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">num</label><div class=\"sk-toggleable__content\"><pre>Index(['l pokoi', 'metraż'], dtype='object')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-53\" type=\"checkbox\" ><label for=\"sk-estimator-id-53\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-54\" type=\"checkbox\" ><label for=\"sk-estimator-id-54\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">cat</label><div class=\"sk-toggleable__content\"><pre>Index(['stan', 'rynek'], dtype='object')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-55\" type=\"checkbox\" ><label for=\"sk-estimator-id-55\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder()</pre></div></div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-56\" type=\"checkbox\" ><label for=\"sk-estimator-id-56\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Ridge</label><div class=\"sk-toggleable__content\"><pre>Ridge()</pre></div></div></div></div></div></div></div>"],"text/plain":["Pipeline(steps=[('columntransformer',\n"," ColumnTransformer(transformers=[('num',\n"," Pipeline(steps=[('standardscaler',\n"," StandardScaler())]),\n"," Index(['l pokoi', 'metraż'], dtype='object')),\n"," ('cat',\n"," Pipeline(steps=[('onehotencoder',\n"," OneHotEncoder())]),\n"," Index(['stan', 'rynek'], dtype='object'))])),\n"," ('ridge', Ridge())])"]},"execution_count":230,"metadata":{},"output_type":"execute_result"}],"source":["model1"]},{"cell_type":"markdown","metadata":{},"source":["Przykład - przewidywanie cen na danych testowych"]},{"cell_type":"code","execution_count":231,"metadata":{},"outputs":[{"data":{"text/plain":["array([ 407917.66889452, 285306.27863261, 444184.94702291,\n"," 299459.05926666, 459271.83408962, 614055.95902743,\n"," 311243.98561031, 361244.58944658, 329238.65906305,\n"," 369470.84812889, 285350.13919824, 329238.65906305,\n"," 420020.53940636, 399085.99304054, 368717.32379097,\n"," 339834.65864991, 335512.74515277, 304524.88092914,\n"," 367036.20209137, 286773.80808993, 354525.20168926,\n"," 282085.35025252, 386303.76202814, 477660.29347794,\n"," 407152.53644455, 490742.17175818, 529758.94244497,\n"," 335044.40697838, 399501.21194489, 431641.29394143,\n"," 331214.22563058, 334772.89329194, 404282.20491201,\n"," 369968.98599038, 392538.22357404, 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592161.2797702 , 418937.46278821,\n"," 319398.53322173, 415378.79512685, 600960.30294481,\n"," 263047.6131269 , 364648.06092761, 325259.97032322,\n"," 589476.22718124, 599471.54920288, 983410.6732152 ,\n"," 405432.07327729, 442158.14779951, 491279.65108734,\n"," 636692.27143438, 311900.23521207, 186643.53405465,\n"," 454252.04268309, 348902.56302718, 335848.88089601,\n"," 377701.62590915, 377701.62590915, 353370.41400023,\n"," 376477.41398921, 560336.57202573, 556969.98924588,\n"," 402990.3382257 , 568449.1456857 , 448323.35104102,\n"," 517259.61509264, 688264.08517628, 606585.11129723,\n"," 1137012.09739106, 327010.51625373, 361028.82751397,\n"," 628428.55789859, 413554.08535898, 341098.21203752,\n"," 401415.92968398, 455318.42593893, 1619425.93740436,\n"," 451114.99963823, 267139.98688905, 342658.5597007 ,\n"," 304976.87138504, 438573.91647287, 304976.87138504,\n"," 392508.02366116, 458652.63911557, 547637.54304662,\n"," 524873.76781497, 508805.98636568, 382751.50007893,\n"," 366338.32418199, 645108.72838401, 532942.19783316])"]},"execution_count":231,"metadata":{},"output_type":"execute_result"}],"source":["model1.predict(df_test)"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyMI6m3bAQGO+zYnw6aWIlMe","provenance":[],"toc_visible":true},"kernelspec":{"display_name":"Python 3","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":"3.10.11"}},"nbformat":4,"nbformat_minor":0}
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