{ "cells": [ { "cell_type": "markdown", "id": "40b75da8", "metadata": {}, "source": [ "" ] }, { "cell_type": "code", "execution_count": 2, "id": "aa1b5284", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "# Modelos de Regresión\n", "from sklearn.neural_network import MLPRegressor\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.tree import DecisionTreeRegressor\n", "from sklearn.ensemble import RandomForestRegressor\n", "\n", "from sklearn.preprocessing import LabelEncoder\n", "\n", "# Métricas\n", "from sklearn import model_selection as ms\n", "from sklearn.metrics import r2_score \n", "from sklearn.metrics import mean_squared_error\n", "from sklearn import metrics as m" ] }, { "cell_type": "code", "execution_count": 3, "id": "1733c5ef", "metadata": {}, "outputs": [], "source": [ "import warnings \n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "markdown", "id": "67922867", "metadata": {}, "source": [ "# Reto regresión predecir demanda de bicicletas compartidas" ] }, { "cell_type": "markdown", "id": "5ba7c704", "metadata": {}, "source": [ "# 1. Descripción del problema\n", "\n", "Describa de manera clara el problema de predicción que esta abordando, su campo de aplicación y explique si corresponde a un problema de clasificación o de regresión.\n", "\n", "\n", "### Dataset\n", "\n", "Seoul Bike Sharing Demand Data Set\n", "\n", "https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand" ] }, { "cell_type": "code", "execution_count": 4, "id": "5e6db106", "metadata": {}, "outputs": [], "source": [ "data = pd.read_csv(\"resources/SeoulBikeData.csv\", encoding='ISO-8859-1')" ] }, { "cell_type": "code", "execution_count": 5, "id": "d95f36d9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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DateRented Bike CountHourTemperature(°C)Humidity(%)Wind speed (m/s)Visibility (10m)Dew point temperature(°C)Solar Radiation (MJ/m2)Rainfall(mm)Snowfall (cm)SeasonsHolidayFunctioning Day
001/12/20172540-5.2372.22000-17.60.00.00.0WinterNo HolidayYes
101/12/20172041-5.5380.82000-17.60.00.00.0WinterNo HolidayYes
201/12/20171732-6.0391.02000-17.70.00.00.0WinterNo HolidayYes
301/12/20171073-6.2400.92000-17.60.00.00.0WinterNo HolidayYes
401/12/2017784-6.0362.32000-18.60.00.00.0WinterNo HolidayYes
.............................................
875530/11/20181003194.2342.61894-10.30.00.00.0AutumnNo HolidayYes
875630/11/2018764203.4372.32000-9.90.00.00.0AutumnNo HolidayYes
875730/11/2018694212.6390.31968-9.90.00.00.0AutumnNo HolidayYes
875830/11/2018712222.1411.01859-9.80.00.00.0AutumnNo HolidayYes
875930/11/2018584231.9431.31909-9.30.00.00.0AutumnNo HolidayYes
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8760 rows × 14 columns

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" ], "text/plain": [ " Date Rented Bike Count Hour Temperature(°C) Humidity(%) \\\n", "0 01/12/2017 254 0 -5.2 37 \n", "1 01/12/2017 204 1 -5.5 38 \n", "2 01/12/2017 173 2 -6.0 39 \n", "3 01/12/2017 107 3 -6.2 40 \n", "4 01/12/2017 78 4 -6.0 36 \n", "... ... ... ... ... ... \n", "8755 30/11/2018 1003 19 4.2 34 \n", "8756 30/11/2018 764 20 3.4 37 \n", "8757 30/11/2018 694 21 2.6 39 \n", "8758 30/11/2018 712 22 2.1 41 \n", "8759 30/11/2018 584 23 1.9 43 \n", "\n", " Wind speed (m/s) Visibility (10m) Dew point temperature(°C) \\\n", "0 2.2 2000 -17.6 \n", "1 0.8 2000 -17.6 \n", "2 1.0 2000 -17.7 \n", "3 0.9 2000 -17.6 \n", "4 2.3 2000 -18.6 \n", "... ... ... ... \n", "8755 2.6 1894 -10.3 \n", "8756 2.3 2000 -9.9 \n", "8757 0.3 1968 -9.9 \n", "8758 1.0 1859 -9.8 \n", "8759 1.3 1909 -9.3 \n", "\n", " Solar Radiation (MJ/m2) Rainfall(mm) Snowfall (cm) Seasons \\\n", "0 0.0 0.0 0.0 Winter \n", "1 0.0 0.0 0.0 Winter \n", "2 0.0 0.0 0.0 Winter \n", "3 0.0 0.0 0.0 Winter \n", "4 0.0 0.0 0.0 Winter \n", "... ... ... ... ... \n", "8755 0.0 0.0 0.0 Autumn \n", "8756 0.0 0.0 0.0 Autumn \n", "8757 0.0 0.0 0.0 Autumn \n", "8758 0.0 0.0 0.0 Autumn \n", "8759 0.0 0.0 0.0 Autumn \n", "\n", " Holiday Functioning Day \n", "0 No Holiday Yes \n", "1 No Holiday Yes \n", "2 No Holiday Yes \n", "3 No Holiday Yes \n", "4 No Holiday Yes \n", "... ... ... \n", "8755 No Holiday Yes \n", "8756 No Holiday Yes \n", "8757 No Holiday Yes \n", "8758 No Holiday Yes \n", "8759 No Holiday Yes \n", "\n", "[8760 rows x 14 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data" ] }, { "cell_type": "code", "execution_count": 518, "id": "97b94060", "metadata": {}, "outputs": [], "source": [ "data.rename(columns={'Rented Bike Count':'Total'}, inplace=True)" ] }, { "cell_type": "markdown", "id": "1c46fec1", "metadata": {}, "source": [ "### Solución \n", "\n", "#### Descripción del problema\n", "\n", "- Problema de aprendizaje supervisado\n", "- Problema de regresión \n", "\n", "**Objetivo:** Predecir demanda de bicicletas compartidas" ] }, { "cell_type": "markdown", "id": "9c5b831c", "metadata": {}, "source": [ "# 2. Descripción del dataset\n", "\n", "1. Enumere las variables incluidas como entrada al sistema y la o las variables a predecir. \n", "2. Explique claramente el tipo de codificación de cada variable\n", "3. Si la base de datos cuenta con valores faltantes, explique cómo se llenaron los vacíos en cada caso. \n", "4. Describa en detalle la base de datos: número de muestras, número clases y muestras por clases (si el problema es de clasificación).\n", "5. Realizar gráfica para cada una de la variables que permita visualizar claramente su distribución y relación con otras variables y/o la variable a predecir (si existe alguna relación). " ] }, { "cell_type": "markdown", "id": "a69f086d", "metadata": {}, "source": [ "### Solución " ] }, { "cell_type": "markdown", "id": "fb0ba322", "metadata": {}, "source": [ "1. Variables\n", "\n", "##### Variables de Entrada\n", "\n", "\n", "Traducción\n", "\n", "Selecciona el idioma de llegada\n", "Español\n", "\n", "automático\n", "\n", "- **Date:** año-mes-día\n", "- **Hour:** Hora del día del prestamo\n", "- **Temperature:** Temperatura en Celsius\n", "- **Humidity:** Humedad %\n", "- **Windspeed:** Velocidad del viento m/s\n", "- **Visibility:** Visibilidad 10m\n", "- **Dew point temperature:** Temperatura del punto de rocío - Celsius\n", "- **Solar radiation:** Radiación solar - MJ/m2\n", "- **Rainfall:** Precipitación - mm\n", "- **Snowfall:** Nieve - cm\n", "- **Seasons :** Estaciones - Invierno, Primavera, Verano, Otoño\n", "- **Holiday:** Vacaciones - Vacaciones/Sin vacaciones\n", "- **Functional Day:** Día funcional - NoFunc(horas no funcionales), Fun(horas funcionales)\n", "\n", "##### Variables de Salida\n", "\n", "- **Total** Recuento de bicicletas alquiladas en cada hora\n", "\n", "\n", "2. Las variables que sean categóricas se codificaran usando la codificación **Label encoding**\n", "3. La base de datos no tiene valores faltantes.\n", "6. El conjunto de datos es un conjunto de 14 características" ] }, { "cell_type": "code", "execution_count": 519, "id": "688ab40d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 8760 entries, 0 to 8759\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Date 8760 non-null object \n", " 1 Total 8760 non-null int64 \n", " 2 Hour 8760 non-null int64 \n", " 3 Temperature(°C) 8760 non-null float64\n", " 4 Humidity(%) 8760 non-null int64 \n", " 5 Wind speed (m/s) 8760 non-null float64\n", " 6 Visibility (10m) 8760 non-null int64 \n", " 7 Dew point temperature(°C) 8760 non-null float64\n", " 8 Solar Radiation (MJ/m2) 8760 non-null float64\n", " 9 Rainfall(mm) 8760 non-null float64\n", " 10 Snowfall (cm) 8760 non-null float64\n", " 11 Seasons 8760 non-null object \n", " 12 Holiday 8760 non-null object \n", " 13 Functioning Day 8760 non-null object \n", "dtypes: float64(6), int64(4), object(4)\n", "memory usage: 958.2+ KB\n" ] } ], "source": [ "data.info()" ] }, { "cell_type": "code", "execution_count": 520, "id": "9a790ea5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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DateTotalHourTemperature(°C)Humidity(%)Wind speed (m/s)Visibility (10m)Dew point temperature(°C)Solar Radiation (MJ/m2)Rainfall(mm)Snowfall (cm)SeasonsHolidayFunctioning Day
001/12/20172540-5.2372.22000-17.60.00.00.0WinterNo HolidayYes
101/12/20172041-5.5380.82000-17.60.00.00.0WinterNo HolidayYes
201/12/20171732-6.0391.02000-17.70.00.00.0WinterNo HolidayYes
301/12/20171073-6.2400.92000-17.60.00.00.0WinterNo HolidayYes
401/12/2017784-6.0362.32000-18.60.00.00.0WinterNo HolidayYes
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" ], "text/plain": [ " Date Total Hour Temperature(°C) Humidity(%) Wind speed (m/s) \\\n", "0 01/12/2017 254 0 -5.2 37 2.2 \n", "1 01/12/2017 204 1 -5.5 38 0.8 \n", "2 01/12/2017 173 2 -6.0 39 1.0 \n", "3 01/12/2017 107 3 -6.2 40 0.9 \n", "4 01/12/2017 78 4 -6.0 36 2.3 \n", "\n", " Visibility (10m) Dew point temperature(°C) Solar Radiation (MJ/m2) \\\n", "0 2000 -17.6 0.0 \n", "1 2000 -17.6 0.0 \n", "2 2000 -17.7 0.0 \n", "3 2000 -17.6 0.0 \n", "4 2000 -18.6 0.0 \n", "\n", " Rainfall(mm) Snowfall (cm) Seasons Holiday Functioning Day \n", "0 0.0 0.0 Winter No Holiday Yes \n", "1 0.0 0.0 Winter No Holiday Yes \n", "2 0.0 0.0 Winter No Holiday Yes \n", "3 0.0 0.0 Winter No Holiday Yes \n", "4 0.0 0.0 Winter No Holiday Yes " ] }, "execution_count": 520, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.head()" ] }, { "cell_type": "markdown", "id": "f3e8437f", "metadata": {}, "source": [ "5. Formatear las columnas de acuerdo al tipo de dato almacenado\n", "\n", "**Nota:** Aquellas columnas con valores categóricos deben ser formateada a Dtype category No deben ser Object, por lo tanto no debe quedar ninguna variable de este tipo." ] }, { "cell_type": "code", "execution_count": 521, "id": "dba7ae0b", "metadata": {}, "outputs": [], "source": [ "data['Date'] = pd.to_datetime(data['Date'], format='%d/%m/%Y')" ] }, { "cell_type": "code", "execution_count": 522, "id": "afb42d54", "metadata": {}, "outputs": [], "source": [ "data['Seasons'] = pd.Categorical(data['Seasons'], categories=['Winter', 'Spring', \n", " 'Summer', 'Autumn'], ordered=True)" ] }, { "cell_type": "code", "execution_count": 523, "id": "77090b9e", "metadata": {}, "outputs": [], "source": [ "data['Functioning Day'] = pd.Categorical(data['Functioning Day'], categories=['No', 'Yes'])" ] }, { "cell_type": "code", "execution_count": 524, "id": "49922ba1", "metadata": {}, "outputs": [], "source": [ "data['Holiday'] = pd.Categorical(data['Holiday'], categories=['No Holiday', 'Holiday'])" ] }, { "cell_type": "code", "execution_count": 525, "id": "bba656ce", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 8760 entries, 0 to 8759\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Date 8760 non-null datetime64[ns]\n", " 1 Total 8760 non-null int64 \n", " 2 Hour 8760 non-null int64 \n", " 3 Temperature(°C) 8760 non-null float64 \n", " 4 Humidity(%) 8760 non-null int64 \n", " 5 Wind speed (m/s) 8760 non-null float64 \n", " 6 Visibility (10m) 8760 non-null int64 \n", " 7 Dew point temperature(°C) 8760 non-null float64 \n", " 8 Solar Radiation (MJ/m2) 8760 non-null float64 \n", " 9 Rainfall(mm) 8760 non-null float64 \n", " 10 Snowfall (cm) 8760 non-null float64 \n", " 11 Seasons 8760 non-null category \n", " 12 Holiday 8760 non-null category \n", " 13 Functioning Day 8760 non-null category \n", "dtypes: category(3), datetime64[ns](1), float64(6), int64(4)\n", "memory usage: 779.0 KB\n" ] } ], "source": [ "data.info()" ] }, { "cell_type": "markdown", "id": "3d802963", "metadata": {}, "source": [ "6. Realizar gráfica de algunas variables que permita visualizar claramente su distribución y relación con otras variables y/o la variable a predecir (si existe alguna relación) y tome la decisión sobre que variables no deben ser incluidas." ] }, { "cell_type": "markdown", "id": "0e757c40", "metadata": {}, "source": [ "Realizar un gráfico de línea que muestre el comportamiento de la demanda de bicicletas a lo largo del tiempo " ] }, { "cell_type": "code", "execution_count": 526, "id": "a53ed86b", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 526, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "data.groupby([\"Date\"])[\"Total\"].sum().plot()" ] }, { "cell_type": "markdown", "id": "d7fc14ad", "metadata": {}, "source": [ "Realizar un diagrama de dispersión que relacione la **demanda** de bicicleta por día(eje X) y la **temperatura** promedio(eje Y) " ] }, { "cell_type": "code", "execution_count": 527, "id": "8741d447", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Usage vs avg temperature')" ] }, "execution_count": 527, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_day = data.groupby([\"Date\"])[\"Total\"].sum()\n", "mean_temp_day = data.groupby([\"Date\"])[\"Temperature(°C)\"].mean()\n", "\n", "plt.scatter(demand_day,mean_temp_day)\n", "plt.xlabel(\"Demand per day\")\n", "plt.ylabel(\"Avg temperature (°C)\")\n", "plt.title(\"Usage vs avg temperature\")" ] }, { "cell_type": "markdown", "id": "e81edbc6", "metadata": {}, "source": [ "Realizar un diagrama de dispersión que relacione la **demanda** de bicicleta por día(eje X) y el porcentaje de **humedad** promedio(eje Y) " ] }, { "cell_type": "code", "execution_count": 528, "id": "0172176e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Usage vs avg Humidity')" ] }, "execution_count": 528, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_day = data.groupby([\"Date\"])[\"Total\"].sum()\n", "mean_humidity_day = data.groupby([\"Date\"])[\"Humidity(%)\"].mean()\n", "\n", "plt.scatter(demand_day,mean_humidity_day)\n", "plt.xlabel(\"Demand per day\")\n", "plt.ylabel(\"Avg Humidity (%)\")\n", "plt.title(\"Usage vs avg Humidity\")" ] }, { "cell_type": "markdown", "id": "83e426b0", "metadata": {}, "source": [ "Realizar un diagrama de dispersión que relacione la **demanda** de bicicleta por día(eje X) y la **precipitación(mm)** promedio (eje Y)" ] }, { "cell_type": "code", "execution_count": 529, "id": "34c5cb72", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Usage vs avg Rainfall')" ] }, "execution_count": 529, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_day = data.groupby([\"Date\"])[\"Total\"].sum()\n", "mean_rainfall_day = data.groupby([\"Date\"])[\"Rainfall(mm)\"].mean()\n", "\n", "plt.scatter(demand_day,mean_rainfall_day)\n", "plt.xlabel(\"Demand per day\")\n", "plt.ylabel(\"Avg Rainfall(mm)\")\n", "plt.title(\"Usage vs avg Rainfall\")" ] }, { "cell_type": "markdown", "id": "12693c21", "metadata": {}, "source": [ "Realizar un diagrama de dispersión que relacione la **demanda** de bicicleta por día(eje X) y la **Nieve(cm)** promedio (eje Y)" ] }, { "cell_type": "code", "execution_count": 530, "id": "37d25603", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Usage vs avg Snowfall')" ] }, "execution_count": 530, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_day = data.groupby([\"Date\"])[\"Total\"].sum()\n", "mean_snowfall_day = data.groupby([\"Date\"])[\"Snowfall (cm)\"].mean()\n", "\n", "plt.scatter(demand_day,mean_snowfall_day)\n", "plt.xlabel(\"Demand per day\")\n", "plt.ylabel(\"Avg Snowfall (cm)\")\n", "plt.title(\"Usage vs avg Snowfall\")" ] }, { "cell_type": "markdown", "id": "66c7d0cd", "metadata": {}, "source": [ "Realizar un diagrama de dispersión que relacione la **demanda** de bicicleta por día(eje X) y la **Velocidad del viento m/s** promedio (eje Y)" ] }, { "cell_type": "code", "execution_count": 531, "id": "9db1bd70", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Usage vs avg Windspeed')" ] }, "execution_count": 531, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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7+p+T8cYeSmVwSiPXcheKVKJyDRPtxnBSm0NhGPUmrUdwIPBj4CDgFyJyrYh8RkRe43Jg9XjO/7fhf6KhqMcAF/nb3gYMisguua4gU458y10oEgoat0+UuGMsXjHM7AXXs8e8JcxecH1HulOshKNh1Ju0eQQbVfVGVZ2nqgcAHwWeBc4RkRUi8o2sg4tIv4isBB4Hfqaqt0c2GQIeCf3/qL8sepyT/R7KsieeeCL7qkI8MzqWa7kLRUJB4/Z5/4HT2DHUM5k8afzP0S2+dZtDYRj1xjnpnKquBb4LfFdE+oA3OuyzCZghIoPAj0Xktap6T2gTidst5jgXAhcCzJo1K5ctX9WM3iKVqKKlDJfctZbnnt+4Zf3I6Ni4yKE033onRdxYCUfDqDeZikBEZgH/DOwe3l5VX+d6ElUdEZEbgXcCYUXwKPCK0P+7AY+5HteFOhUUj4aQPr1+Yq8k3NB3k2/dSjgaRn1x6RFcghcldDfgnGBORKYCY74SGMBLXvfvkc2uBj4lIj/Cm6D2jN/zKI06WaMuIaSwtaG3/ESGYbQCF0XwhKpeXeDYuwDfF5F+vLGIS1X1GhE5BUBVLwCuBQ4H7gfWAx8ucJ5M6mKNulryQUNfp96MYRjdi4siOFNEvg38N15IKACqemXaTqp6FzAzZvkFoe8KfNJZ2g4gbQZtkoUfJtzQ16k3YxhG9+KiCD4M7I0X/hm4hhRIVQS9SFbqiTgLv9EvbLfNJJ4ZHYtt6KPKIJiEZcrAMIyycFEE+6nqvpVL0gVkRfkUsfCtxKVhGFXjoghuE5G/VNXfVC5Nh+MS5ZN3vKJbQkgNwwVLTtgeXBTBm4EPisiDeGMEgufedw4f7RWqiPLpphBSw0jDer/tw0URvLNyKbqEKqJ8LITUgN6wlK332z7Site/SFWfU9WHsrapRrTOo5kon6QX3UJIjV6xlK332z7SegRX+XmCrgKWq+o6ABF5JXAwXnrqbwGXVy1kJ1FkzoLLi97t1qCRTN0s5ap6J9b7bR+JikBV/0ZEDgc+DswWkR2BjcAaYAnwQVX9Q2vE7G5coo2s4e9d6mQpV9k7sd5v+0gdI1DVa/Fm/xqOZFlLcevr9KIb9aNOlnKS0XL6pauA5pSB9X7bh3P2USOZoHEfHhn1Qqr85VFr6YzFd3PJbQ9PWD84pRGbgM66xAbUy1JOMk42qTbVM4gaSOeeMMMUQAsxRdAk0a5yNEd2uCRjWAmE10+e1MdAo78WL7pRP+pkKaelSUkbt0jrKffKYHidEW2mVFcbmDVrli5btqzdYmxh9oLrM/MHCekvkADnnjCjFi+6YaQRbbSjCPDggiMy9xlo9G8p5pT0Dg0NDnDrvENKlb+XEZHlqjorbl1a+OhOaQdV1aeaFawbcPHj7zo4kLrdroMDNiDcIfRCPH8awbWefukqNsUYkXHuzKxgCBsjaz9prqHleJ4OAaYBT/vfB4GHgT2qFq4TyMooGrh4gjGEKAKFXEC93iC1A3NheATX6jpukdXQ12kwvFdJq1m8h6q+ElgKHKWqO6vqS4AjscyjW5h76F40+uMqbo6vZXzw3lNjt3nTq3YqPO+g02sZdxpplm2vkadud1KDHq67YTWt24vLYPFfqeopwT+q+lMR+ZcKZeo8Ij3kRp+w8Pj9xr0UN9z3ROyuv/9T/u5v3SYY9QrmwhiPqzszK+qpToPhvYqLInhSRM4ALsZr8t4P/KlSqTqIhUvXMLZ5vCYY26wTGuUyGxFrkNqDuTCK4dLQ2xhZe3FRBO8FzgR+jKcIbvKXGbg3ymU2ItYgtYc6xfPnoQ7jSdbQ15vEMYIAVX1KVT8D/LWqvl5VT7WIoa1k+T8DyvSDmk+1PeTxi9eFOo8nLV4xzOwF17PHvCXMXnB9LWTqVTJ7BCLyJuDbwIuAaSKyH/BxVf37qoXrBFytxDL9oOZTbR+dZtnWdTzJIrDqhYtr6FzgUOBqAFVdJSJvqVSqDiJ4aM/6yeotaSImT4rvaJXZiHRag2S0h7qOJ9VVQfUqma4hAFV9JLIoflphCBF5hYjcICL3ishqEflMzDYHicgzIrLS/3zRUe7a8fzY5i3fR0bHatP9NnobV9dlq6mDgjLX1FZcegSP+O4hFZFtgE8D9zrstxE4XVXvFJHtgeUi8rOY2sc3q+qR+cSuF2bdGHWlrgPcrQx4iBssB9rmmqrD4H0Ulx7BKcAngSHgUWCG/38qqrpWVe/0vz+Lpzy6slWsg3VjGHHUdYC7VQEPSYPl869e3ZbJgXUdvM/sEajqk8BJzZxERKYDM4HbY1a/UURWAY8Bn1XV1TH7nwycDDBt2rRmRKmETgrnrKM10k3U8f62cjzJ9fpbFfCQ1FtPSppXtfFWV++BS9TQa4DzgZep6mtF5HXA0ap6jssJRORFwBXAqar658jqO4HdVfU5vxraYmDP6DFU9ULgQvCyj7qct5XUofvt8gLmjdSoolGrY0NZFr0eCZP3+luhoPI27FUbb3X1Hri4hr4FfB4YA1DVu4ATXQ4uIg08JXCJqk7IT6Sqf1bV5/zv1wINEdnZUfba0O7ut2t3M0+unCq6sHXtFpdFr+ciquP1JzXsO05ptGUuTl0H710UwRRVvSOybGPWTiIiwHeAe1X1ywnbvNzfDhHZ35enI9NXzJk5xK3zDuHBBUdw67xDWmoBur6AeayRKl7qOjYUZVJXa69V1PH6k8Yizjxqn7YYb3WdDOqaa+hV+KnVROQ4YK3DfrOBvwXuFpGV/rIv4KW0RlUvAI4DPiEiG4FR4ETttEo5KbTKDVJ2movFK4YTU2s381LXsaEok04aK3Ih7/Nbx+vPGotoR6qNNHnahYsi+CSef35vERkGHsRh8FhVb8FLt5+2zXnAeQ4ydByt9Be7voAuYxmB3GnnqlrOTqUOY0VlUeT5rev1123yZd3kAbdcQw+o6tuAqcDeqvpmVX2oetE6m1a6QVy7my5jGXFypx2zCjk7lXaPFZVJkee3m66/13CJGnoJXvbRN+NNKrsFOFtVO9KX3ypa6QZJ627Gde/T6sCmyRd9qfO6DuraLQ7TrDuvjtZeEYo+v91y/b2Gi2voR3ipp4/1/z8JWAS8rSqhuoHBKY0tuYfClOkGyWq0inTvk9w3Q35d5WaOHayra0PR6+GfYbrdjWeMxyVqaCdV/RdVfdD/nINXt9hIYPGKYZ57fmJgVaNfSnODuIRiFuneu7pvujECqBuvqSjd7sYzxuOiCG4QkRNFpM//vAdYUrVgnUxc1TKA7baZVJpl6dJoFeneu/p5uzECqBuvqSjm7+8tXFxDHwf+Efh/eFFAfcA6EflHQFX1xRXK15EkNRzPjE50FZV9jvDyot17F/dNN7oOqr6mTptVXUc3Xqfdw07BJWpoe1XtU9WGqk7yv2/vfzpCCbQ63WwrZg+6nKPK7n03ug6qvKZun1XdCuweVkemIhCR2SKynf/9/SLyZRGpX+a3BNrx8DTboLgoLpdzVNm9r4ProGwFX+U12fhD89g9rA7JmsgrIncB+wGvw3MPfQd4t6q+tXrxJjJr1ixdtmyZ8/azF1yfGAUTDqMsu8tZ9HjRyBXwGvi4BqmXu8l57lMd2GPeEuLeNAEeXHBEq8XpSOweNoeILFfVWXHrXMYINqqqisgxwFdV9Tsi8sFyRawOF196FWGDRf2redLU1tGHW4QiCq2sdL6tUqadOqZSJ2OjU+9hJ+ASNfSsiHweeD+wRET6gUa1YpWHiy+9Tl3OXotcKeq6K+M+5T13M66oThxTqZtPvhPvYafgoghOADYAH1XVP+BVGVtYqVQl4vLwtKPxTWpU6pqmtiqKKuEy7lMr03LXYUwlL3UykCD9Hlr94eZwqVD2B+DLof8fBi6qUqgycUlr0OouZ5orqq6Ju6qiqBIu4z6VlZbbtTHvNFdeHXuncfew02aE18ndFpCoCETkWYgdmwGgU0JHIfsFbHXjm9aoBAPYrg9KHR+qPDQz1wGay1uU59xJabmTlncDneKTr2v5xzjqqrQSFYGqbg8gImcDf2DrhLKTgO1bIl2LaHUytCxLy9VyrOtDlYdmlHCzFnaec/eLsCkmwq5fUjOtO+FaZrTVCr9Teqd17LkkUVel5RI1dKiqHhD6/3wRuR34j4pkagtFGpU8L2d4276ERiWvpVXXhyoP7cxImufccb9X2nJXXJR5uxR+J2SLhc7puUB9lZaLItgkIifhZSFV4L1AfML6HiLPyxndNq7xKGJp1fWhyks7feeu5x5KycraDC7KvJ0KvxPGNVwLLtVBodVVablEDb0PeA/wR/9zvL+sp8kTUZFU7KVfpKkIkjyRMxZV0RxVhS66KPNuUfhVkRWRVacw2LjnqNEvrNuwsa3vpkvU0O+BY6oXpbPI83ImbbtZtakZka4+3G4YS2g3VblJXCzEulqRdSKt51InF2r0ORqc0uC55zcy4iekbNe76VKhbCrwMWB6eHtV/Uh1YpVLFd3CPC9nMy9ymuyujVOdXoROpgo3iYsyr8ugbV3cK3mpW48q/BzNXnD9hAJW7Xg3XcYIrgJuBn5OB44NVGUNZ72c4Zdmh4EGjX5hbJPGbltEdhivAM49YUbi9fRi6GOn4KLMk7YBryFpRcPcqb3KxSuGSwvOqIK6KCkXRTBFVf8p74FF5BV4E89eDmwGLlTVr0a2EeCrwOHAeuBDqnpn3nOlUZU1PGfmEMseeoof3v4Im1TpF+HYNwxtmeUYfmlGRsdo9Ak7Tmkwsn6s6Xw6869ezYaNm51fyipDH6umU63QPLj0NKLbtLph7sReZXCPygrOqIK6uP1cFME1InK4ql6b89gbgdNV9U4R2R5YLiI/U9XfhLY5DNjT/xwAnO//LY2qNO7iFcNcsXx4y0O2SZUrlg8za/edYl+asc3KlG0mseKL73A+R5KMIzEFbtJeyqpCH6umU63QVtDqhrms3E6tVOppQRp1Se9RF7efiyL4DPAFEdkAjOFNKsusTKaqa4G1/vdnReRevDxFYUVwDHCRermwbxORQRHZxd+3FKrSuGkvYlkvTVKXNomk41cV+lg1nWiFtopWuxSafY9apdTDyibpzdmsmnnOVimtuszVcIkaanoWsYhMB2YCt0dWDQGPhP5/1F82ThGIyMnAyQDTpuWriVOVxk17Ect6aZK6tNs2+iYMMKUdv11WR9LL5PqSNdvYdbNbKekZ22GgmsTAzT5DrVDqcTUq4ugTYY95S2KficUrhpl/9epxve7hkVFOXbSSZQ89xTlz9i1F1jB1mKuRlmtob1W9T0ReH7fe1ZcvIi8CrgBOVdU/R1fHHTrmXBcCF4JXmMblvAHtCPur4qWBrV1aINfx22F1JFmAyx56iiuWDztZhs1GW1VtgbZT0cw9dC/mXraKsc3jX4d1L2xk8Yrh0mfJN/sMld2DiZM36b2JEhhY0WciS5FcfNvDzNp9p7Y32lWQWKFMRL6lqh8TkRtiVquqHhKzPHqMBnANsFRVvxyz/pvAjar6Q///NcBBaa6hvBXKqiKrQlY0akgE54HipEpM4GnOXQcHOHjvqdxw3xNtr6iWRFJluKSB62jFuECmolXIXCvTFaUOFdJmnn1dbM8w7zW24lrSnocvvWe/XOdJkjdNCQgkulqD+5UkY9y2nUjRCmWfA1DVgwueVPDKWt4bpwR8rgY+JSI/whskfqbM8YEqybKQgu5eEcs0yRIGtsyMvGL5cGkvahXWc5KllzTmEbd9M1Zo0vmHR0aZveD6phVdEVdH2cp2JEYJQH4r2/VaovLnMUbiesngPQ9Rq7zovJgsI2OPeUtiZQvul8t969bZ3GmKYI2IPAH8ErgV+KWq/k+OY88G/ha4W0RW+su+AEwDUNULgGvxQkfvxwsf/XAu6VtA1oSuoiGgaQ1G0ksTPcZZP1ldSsNShf82SZklvaxJ7p6i/tM0ZVqloktaXoWyLSsQIk1pBr70g/eeOsGld/FtD4/b9rRFKzl10UqGUlxLp1+6asLvH07N4nKP0oyMaM8g7DLNul9pz0x0224jMdeQqr4UeBeeEngTcKWI/FFErhKRz2UdWFVvUVVR1dep6gz/c62qXuArAdTjk6r6KlXdV1Xb7/MJUUaOkiK+0WjulCSeXj+WKZtLjqEqIlCScvO894BXtKTcYNz5wzRbaStvhbT5V68uvdpXWfmP0hq34Nm65LaHM/3vQfOe9CzOmTnE5pQeoWv+riR5gxxDwXszONBg20Yfpy1ayewF13Pw3lNT71fWM9Pok1rMPaiC1KRzqvo/qvo9VT0ZL9TzHGAf4KxWCNduyijVV7Sk4pyZQ9w67xAeXHCEc5hnVLYkRXbG4rvHKYfBKfGRJs1YP0mJwM6Zs29LSjaGz59EFYourqFYvGI4du5HHhniFHpWsrVmriVK3hknSe9J2vvgapCk3fvgvTn3hBls2LiZp9ePjXOnHvuGocT7FX1mwvMtBwcaLDzebSyjExM8pg0WvwmvJ/BG4BXAA8Bt/udOVX2hVUKGaeVgcdqg7VdSUjqEKWMgzjUsLmDIf6mSBseE8S92o09AmJACoy6TbpqlqoFjV59/2iBkIEPasVoxmOsSf1+E30eSKqZdy8Kla5x/p6x7X3WwQBJ1CCJIouhg8S3AnXj1iher6voqhKszaT5DV/9uGaGbccdYt2FjrJUpbM0hlDQwG106tlkZHGiw3eRJXRlzX9U8CtfxizSrf+6he2WOH+QdwykyKB1NhFZWHqozFt89LvY+633IW1cgKcdWu3L4dOokyDRFsCtej+BNwCkiMglPMfwK+JWqPtAC+dpK2qBtnh+3jAkj4SikhUvXJLoailpzz4yOsfJM9/QXnUS7Z28mGRQ7TmkwZ+YQsxdcn+qCTGqU4xq1Mgal5x66F6ctWhn7LPWLsFl1XNRQmtK4JCb2Pul9yPqd8lxbu3L41CWJXF7Sahb/AbjS/yAiU4CP4I0P7AGkOxW7gODhOnXRytj1ZeQrytM45XURxRF1CwV0azREQDtnbyYZFKreb5oWtRPONhsl7jcrwyKdM3Mo8ZlPqqExPSE0U32Z8pw7ads815Z0z9dtKDbhzpW6JJHLS9rM4h3wxgeCXsFMvDDPn+BFEvUEQde8rB83aPyHR0bHNcoulpvrzMkoUSsuHAYI1UTtdHN6h7wE133WT1aPmwA2MjrG56+8m8EpjdiJYf0iib930m9WlkWalJ8qLWInT8+lCGkKM9q4Z93z8DbNUkbK+ehxWv3OpEUN3Q98EhgF/gXYTVUPUNXTVPXylkhXE8oK0wtH8cBEyzwtImnxiuFCfttGv7D9tlv1/azdd6o8aqfVpQEXrxhmxlnXMX3eEqbPW8LMs6+rXaTGnJlDTNlmot01OrYJVWKfr7SEg0m/WdEotSh5n/m5h+6VGOoc5PZxjaCJRt0EUW5pbs+kcNWke95M2G5U1vCzPjI6Buq5/fK8X+0up5kYNVRX2pViogxt7TIIJzCh613UJbTdNv28sHHzuHw0rYhgSLrOHac0cqXhdmHxiuHYnDuNfmHhcdnhfq20wpKi0AQ494QZsblz8ka+lBm1kvfenLH4bi657eHUBjvoBcdNOnM9RhJx9yXtnjdTJjYgK3UGuI1NtSLKqWjUkBGiWR+zq0Xv6vd14fmxzYmzONNSBzTbGCZ14Z9eP1a6f3bh0jUTlAB4obBZvulW1ztI8x8nPV95o51cBsZdf++8z/ys3XfimlVrtwQy9AlEf5okV+jiFcMT3Dh5iXvuqvbZp81ynnvZqnFh2WnPV7sHmU0RtICgwckir983C5e8PlGLenhk1HuAKT/1AeQbOHQh7d5k3be0CnBpkStFlWbeMNY5M5Or4KWR1oBXpfzieiIx+nkcSaklirLr4EBsPqQqx8TSnvU4AyVpcLvdg8ypM4uNckiz6AO/apovMelhmNJI//mSSlGGjzf/6tUTHtixzcr8q1enHjuNtJesmbTDcbM1016UrJcorQJcnK+2WT9u3pnAgZskWgUvOF+RGaxlzJZ3Pa4LSakl8tLoFw7eeypzL1s17vdZdMcjqbOJm8VlVnaUuOeurHHIomT2CETkazGLnwGWqepV5YvUfaQ1fmlF5wOSLMl/ffe+LHvoKS65/WHijP9tJgkvbIJNoYa+0T8+X0rSfISk5S7MmTk0obhHQNFIqyQrNikvf/Q643BJMgbjG8oyQjNdZ6TH+crTErSd5lA8pSoXRNH901JL5GG7bSZxzaq1sUbNNavW5pojk6fXl5ZML4m4wjjtnuvi0iPYFpgB/Nb/vA7YCfioiHylMsm6iLSQO9cJaeEcKEFY4cKla5i1+048+G9H8JUTZrBjJGfQ6NjmcUoAKD7jLCfzj96nNAsnK3584fH7MRiqzLXjlIbTQPHBe091luGxkdGW+nEXLl2T+FMlWdGKN4ErLfFgn0MvsQhF9hc8RZ62rwCzX7VTZgLGZ0bHSjFqivT65swc4kvv2W/C897oExr9E6XepBp77HB+sVvnHdLScGuXMYJXA4eo6kYAETkfuA54O5Dt+K4B7Y5pz/INu8gXNwU/LhVB1mDb2Oatg6hpD3dUqeSlTAsnqwEuOpB/w31POG8bNFat8uOmKZc0Kzo6gSvam0oqf1pEQYef28EpDRp9Ms4ij8thFSDASQdOS0wtAV6it/lH7+OUQ8i1d5dF0Ql5Sc97eFlc7q+6pJ9wUQRDwHZ47iD877uq6ia/oH2taXVkSBxpjWKafNF91r+wMfUhdbVMg+3S/MJnHrVPrmuMo6zZvHkH0pqtiRwl3FA2k7MoK7FceF3SJLPAik4KLY1eV5b/3XUAOu5awvfi6fVjNPqFwYEGz4yOTWgIh0dGt9SiiIaOht+P8HbbTZ7YPKUZVUlRR3mMmmZ6fVmpM7IK47QTF0XwH8BKEbkR7zl8C/CvIrId8PMKZSuFuiSBSnpIkuQ76yereX5s8zgFkUTwILlaRUEDmlUToRW4NNp5om3yKNakxjYrAV+RXk6WXNHIrT6YMEM1akUn5QMKK8isRiYYgM5bizfuuR3bpIhMjM93dX9CdmGarJ7m3MtXjbtnjX7JZdRUGb3T7sigNDIVgap+R0SuBfbHexa/oKqP+avnVilcGbQ7PjeLtJh7V4IHyaWymUvFJtf6B83i2lvL42bKo1gDH240HUDUHVEGaQbJug0bJwxybgYm9wkv3X7bxOp4yx56asKAclRBuhgHRQyjKuaKuBptWZa3q6KOM0KqylQL1WXBLQOXqKGrgR8CV6vquupFKpc6a2Fo3rcZfpCCBz4pYRiMT03Q7gczT2/N1c2UR7HmTb/djJsxzSBJGhQeHducOqv0nDn7Mmv3nVIbPhfjIE2+JKqYK1KG0ebynMRNXgt+y397975baiOUPabY7sigNFxcQ18CTgAWiMgdwCLgGlV9vlLJSqLqxq7Zgegk+SZP6kuMdggnkYurDZuWmqCopV32gHvaTOtmemt5FWue9NvNuBnTDJI0eRevGB4XirvjlAZnHrXPuJ5BnkHMpGJFRXIRlZWVN3i2khRilmx5ns20dC3Bb1llxE5Z42Zl4+Ia+gXwCxHpBw4BPgZ8F3hxxbKVQpVauIyB6LRog7ypgAPyKD9XC6rMAfesmdbN9NbyKtY852rGYi0yyLndNv0T5kg8vX6MuZfnm/kd/o2TchGlGUZJDW0Zc0Wy8mi5yOY6JhQMsqf1jsoqyNNpOKWYEJEB4Ci8nsHrge877PNd4EjgcVV9bcz6g4CrgAf9RVeq6tlOUuekKi1c1kB0knxFX7SoctlhoIGIN7i4cOma3IqwrOsMp+BOotneWppibbZnmGS97zCQHZVSZJCz0d/HuhcmNloueZSKyhElraGdf/Q+TSuVdRsmRsIFJCWmC5NnTMjFRZY0G7/bcRkjWAQcAPwX8J/Ajaq62eHY3wPOAy5K2eZmVT3S4Vi1pOqB6CIvWkCgXMqw5su4TtcMqmVM/09T/M0kY0uaxbzuBbdiJ3kHOU9LGetp5hnLYxilGQHB+EUzSiUJAaesm3nGhEbHNm0JTU3CdXZwt+HSI/i/wPtUdROAiMwWkfep6ifTdlLVm0Rkegky1paqBqKjhS62bfQxsn5swovm4hstw5ov4zpd8sm4zrQuSloD6KIw58wcinXjNGOhp8mW1nuKS1NQBc1M5os+n3HzYJJwfbbyjgllNfSDAw1mL7i+ksHcdk9sTcNljOC/RGSGiLwXzzX0IH75yhJ4o4isAh4DPquqsZnORORk4GSAadOmlXTq5mlmIDrpoYg2SCOjYww0+ifkJHK19Muw5ssYcM86X6vD6FwaqTiFOZIQ1ltFOHJSDwS2NmjtTJ2dRh7rP0owac6FIsEWcemxg+XrXti4Zb8y722zPfOqlUhiriEReY2IfFFE7sVz8TyKV8jmYFX9egnnvhPYXVX3A74OLE7aUFUvVNVZqjpr6lT3/DBVM2dmvmySAWn5TFyzQ7puV0bFqqLX6Xq+KqqkpRF3/5PmbUQb+LIqgLkwZ+bEPEpxLuwyK25FScquud53hyXRTEZRJd9AeNyzGZfrKmCzX0FsMDK2o0xMh1HWvW0m62srqpel9QjuA24GjlLV+wFE5LSyTqyqfw59v1ZEviEiO6vqk2WdoxUUGYhOeyhcLXjX7coKn212wD3Oum30CQuPz04OVzZ5GqnoQHCV4chJVl/4/hRNU5BlUWad+wtX3sX6sa1Dg0+vT6/920wPaWhwYl2BrAygSeuSIu9G1o9x7gkzxv2WSV6j4Fqascqb6Zm3IjtCmiI4FjgRuEFE/gv4EaQmAMyFiLwc+KOqqojsj9c7+VNZx68zST/+8Mioc9Fw1y57rSaxRJ+eHE9TmV3jPI1U1AJ3vZ955XV1HRRx1cQd+7RFKzl10UqGBicWb4k79+jYxPiQtMao6ETJRr/w9LoN4xrwoi6atDk1uw4OOBsEQcGbrN8n7TdvZpytFdkREl1DqvpjVT0B2Bu4ETgNeJmInC8imTNwROSHwK+AvUTkURH5qIicIiKn+JscB9zjjxF8DThRO62AckGSfnzBS43skr45TyGLOTPbl942YOHSNRO63cEgaxZld43zuHHixgSy7mcReZOsvlMXrRxXdKZIAZOklNX4sl1y28OpbouslNhhgpTXeZRA4NbZbpt+xjbpuJ5HnDxx50sqzpN2v1wa0mDbLNdO1m/eTOGZVrgjM+sRqOo6Vb3ED/PcDVgJzHPY772quouqNlR1N1X9jqpeoKoX+OvPU9V9VHU/VT1QVX/Z7MV0CnMP3SvWGFa81Mgu/vjANxrOrDh5UrkF54pUwEqiqq5xEeJeyqTOSZGXzbVRD5N2H8KNSpHxmqxGOamRHx4ZZY95S1L3D9+fcGPoSlCc/dwTZsTOmQgTp3SyFG7a/Ur6bftFJmyb9fxmPaPNjLM1o0RcyVWzWFWfAr7pf4yCzJk5lDo9P48//vmQ9TQyOuZUpcqFsmcT16lrHOfeOXjvqSz69SMTJnUVedlcGvWwHJDtSgm7YfKO12TFzqeRtlc0uifvAHF4fxelHn1Wmk1SlzTeE9dAZz2/Ls9o0XG2Vrh3e6JmcZmWbVkkZfhsNjY/qUpVXlphhbezaxx178zafaeJrV7OtjN4zrJ2i7uPSdE5YYoqviomSUVTYkPOsZfI/kXCi5s1EPJY6VnPb9Xum6rdu7l6BJ1IHQrTxFFlbH60SlURWmGFu1o1rciSunDpmth6t6730XXmdED0PobvT1LPoEijsnjFcGaPQHDXeeLLEffbuQ4Qx1UeS9tXiJ9xXsZExzgrPW3QNzFFSI1TTLvQ9YqgFaFXRSiju5f28jQbUVDFrOm6do3LyISa1y2ieGUXozUG4iYVQrFGJThOnBIIGv+hwQGmv2SAW3/3VObxAn9+Elkpr+MUQHjfpMlzgWED4423KhrfLMMxLYQVahKdV4CuVwRJL3gdsgxGH564hz2NIB9NVpWqItTNwml2HkMSZWVCLaJ4yyjEk0aScuoX4Uvv2Tp/Y/aC6zOP5TLbNzje6ZeuilU+202elNmQJiVaLFKtrAjNGI5VPaOtoOsVQVK3tw45Bpt1W82Z6ValqgidbuG4kmbJ57mPWW6RJPdMs4V40khSTptUxxkdLkrMdbbvnJlDicnyhkdGU5Pzha85LgQ1z0BwUepe0bAqul4RJPk+q56w0KqEcC5VqorSyRaOK2kveJ60F3MP3WtCKukwm1UTjZKijUzWM5amnMJGh4tvP0/50rTjlVHRrUrqXtGwKrpeEbSDZhPCubit6pzJsJNIevGDTKi57nOKdRE0JGU1Mi7PWJbPPjA6Dt576oReZZi8Pcw0pdhsRbfBKdm1H7JI+03r5hJtFV0fPjqlEX+JScvLoNmEcAITwj/DIbAzzrqOuZevqjQJVa+QNLlseGSUmWdfx9zL3O5zXNRRQNCQlDkxyOUZC4dHJjE8MsoVy4cnKIGBRh+CN8C7baOP01Imw8WSohRdDJ25h+5Fo3+iA/e559OT3WURNwnttEUrOWPxViXabILFTqTrewSTG/2xU9YnZ8RsN0OehHBxg73R8M8zFt89zmKLG0yrQyRUJxIN2wy7b5KKm8Td5zwupiI9uagV6xrlFLj3ktI+9IvE9hh22m7yBOvYZQxr8YrhxMHiMNPnLcmsQBbXo8gT0huWKbh3cTWbg7k3s3bfqdCEvW6g63sESfnjk5bnIWmimuvkkjkzhzJzuCxeMZzabY/bx8hHMFlnaHCg8H1O+s2jxXaKTAyKs2LzpsRI6o0kNdhBFFueSYVp4apxJPWwFq8YZu5lqxL3K1IZL7h3SbKFQ1R7ka5XBFXN+EvLc5Lkbjh474m1FLJmGKcl/EraJ0neZmZX13F2dtm4NjBx97nKfDBJM8jjkrnGPWOQ7PJIe/7yDtgWqUGQVGsjyc0WyOZKHpl62ZDqekVQ1QuaFfFz7BuGxr2oClyxfDhXdkRwfzgDv3ZcI91s9s5WFMZoljIUlUsDk5bhtSrfctoMcpdnLCxjtDeS9vzlNaKKNqSutTYCyqyMF8ZVwXSjUdT1iiBolPv9xPL9Ihz7hupitIPlN9z3xARLPs76iQ7oBT7bhUvXsHjFcOrDGWQeDfu14xrpZvMGlZ13qGzKUlRxjWKjXxgcaDg17lXlg0nLkunyjKURVWDhweH1L2yk0Te+35FmRBXtZcfV2khicKCRe/a9C3lKzNbdKCpC1yuCxSuGuWL58Bbf4CbVVKvJlSxrybVbHQxkBX7faC3auPoEArz/wGms+OI7Yv3a0cag2Zjsuk+yKUtRBY1iOLX3dttMYv7R++Ru3Mu0Gov49/PIEiiwc0+YwYaNm3l6/RiKP1guOCvCpPTqaSTV2ogqIPCU8vyj95mwPO36ku7d+w+cVqj3VnejqChdHzVUVa6hrHhjl4kp0VjwuAY9qE8QjTSB+NmXAeHGIC0me/aC6zMjWOo+ySZtPkbaTNYkoqm98yYpLDvRYdIs77TqW1myLHvoKW6474lxabgvuf3hCeUaxzYp202exMozM2tRMWdmcnr1MOE8R3HPXFy6iR2nNDjzqIl5ilxzA1Vd3a4uRlFRul4RVPXDlZGN0GUgK64+QRBVkTagFm7kdxho0OiXCbn2n3t+45YQybTGqu6TbIrMZE2aVFSG4VCF8ZEU0ljkGRsd2zQuEm14ZJSLb3s48dxJ70rcPUwqtRomUAJpCezC1xuc57RFK1m4dM2EbKBZ97rMcNC6G0VF6XpFUOUPVzQbYdgdlEWcnPOvXp2qBMDr1geN/MjoGI0+YccpDUbWj7Hr4ADrNmycMB8hLe9N0rVEaceM57QZtHHXlGZFlmE4tMpqdPld0gaaXYl7BpPu4bFvGBpX/zgJ13uRZfG32kKvu1FUlK5XBO384eIURZ689Ulyxk0oy2JsszJlm0ms+KLXxd9j3pLY7ZJeIBerqpW1H6IK59g3DCVatdFrSrMiyzAcko7RJ8Ie85a0NB9U0SLyYeKewaR7uOSuteNcmXETuAK5XMiy+FttoXdrMsauVwR1++Gy3EFZ/tNmcBk3aOYFqsIlEtfDACYonCuWDzM40IhVktFrSrMizz1hRqzhcPDeU53GUyC5hxINBIDqiyPFyZKnEE1SlE7SPQx6oYHbp9naClkWf1mGXp6ebDfOPO56RQD1+uHSuqyujf+OUxqx6Q+yCDeIVfSUyu6mJ/UwJk/qi1U42zb6GGj0Z15TmhKMMxwO3nvqOHdHVkMePUacVVyFgnSRJbietDGBgKQoHUjvaUT989Hz5zFwsgyWMgy9ulYxbCWVKQIR+S5wJPC4qr42Zr0AXwUOB9YDH1LVO6uSpy6kZbtMGzwLc+ZR+6SmPI6j0Te+EHsVPaWyexlJPYykHtXI+jHOPWFG5jVlKcGo4TB7wfW5ezrhY+R1w2WRt+GKM4SW3LU21ZhIitIJzr9uw8bEfZPyHRXBxWBp1tCraxXDVlJlj+B7wHnARQnrDwP29D8HAOf7fzsWFyutDEvcxWqNMjHtXvoLVGTQt+xeRt6GMrDos+TMqwSb7em0SkGe9ZPVztd05lH7xP5WWfH0LmNcZfrnW+Ha7daQ0DxUpghU9SYRmZ6yyTHARaqqwG0iMigiu6jq2qpkqhJXK62sBzuuwQsK1MQ1Ops2K2f9ZLXTeYp2lZMUVBD6V5ZbYMcpDZ4f29y0Mi3LPZFFqxRkOFIsr/vK9bfJGuOqIhCjatdut4aE5kHUMVNgoYN7iuCaBNfQNcACVb3F//+/gX9S1WUx254MnAwwbdq0Nzz00EO55GhFSGPS5K48Lp+ymJ7gigD4/YIjMvcv61qSBgpdZ3Gm7Q+tCwBo9jqCY5Qlb9pEwihlP397zFuSONAcjHFBfYIzXCjj9+0ERGS5qs6KW9fOweK42eixz5iqXghcCDBr1qxcmqtVA0Eu3ctOqSpWVle5Wd9rltXaqntXRi+uTKs2q/JYmLLdG1ljXHnet7q8D3WLLGwH7VQEjwKvCP2/G/BY2Sdp1UBQVveylZEJSWGUgwNuZf7K6iqXoVDqEvHVajnSGsm4hitugiCU797IcnO5vm91i9Spy3PWLtqZdO5q4APicSDwTBXjA2nFu8skK510K5NVzT96nwlJuxp9yaGAYZIiQor4fquqBdHtuGS4nDNzfKbT+UfvU1k9hDBzZqan23ZV/t2avK1TqTJ89IfAQcDOIvIocCbQAFDVC4Br8UJH78cLH/1wFXL0J8xsDNJSl0VW97KKyIQkq7FoVzcpIiQtlDCNbp2OXzVFerGtdG+kWc+uvUmL1KkXVUYNvTdjvQKfrOr8AUmpel3L6eWhjBfEFZesi3kbgaSIkCnbTCrUoLTa91oXn3OzFG0k6+DecFX+FqlTL7p+ZnFSNsSkEn1lEm6YBqc0aPTJuGRxzVjHVYx9VGGltapxqpvPuRk6uZF0Vf7WW6wXXa8I2vXARRump9ePbal29czoWC3zondyA9RNs0M7vZGsYlKfUS1drwja9cDFNUxJRT6KuDSqaLQ7uQHqJp9zrzSSdXBlGR5drwigPQ9cnlKVLhWkog1BFY12JzdAndybicMaSaOV9IQiaDWLVww752F3rSAV9XdX1Wh3agPUyb0ZozjdEiDQbkwRlExg4ccpgbiGybWCVJy/O9xoh8v59eIL0cm9GaMY3RQg0G5MEZRMUghmv0hs7pI8FaTSasfaC9G5vRmjGN0UINBu2jmzuCtJaqw3q8Y+nHEzkpOmuiX5u22WptGLdFOAQLsxRVAyedMqxE3ZP+nAabnSBdgLYfQilsKkPMw1VDJFBi3Tagu4+Lu7LWLGMFywAIHyMEVQMlUWnkkiqQbtwXtPzXVOw+gkLECgPEwRVECrBy1vuO+JXMuNzsBCI7OxAIFyMEXQBdgYQfdhkWBGK7HB4i7ABs26D4sEM1qJKYIuIKsojtF5WC/PaCWmCLqArKpRRudhvTyjldgYQZdgg2bdhYVGGq3EFIFh1BALjTRaiSkCw6gp1sszWoWNERiGYfQ4lSoCEXmniKwRkftFZF7M+oNE5BkRWel/vlilPIZhGMZEKnMNiUg/8J/A24FHgV+LyNWq+pvIpjer6pFVyWEYhmGkU2WPYH/gflV9QFVfAH4EHFPh+QzDMIwCVKkIhoBHQv8/6i+L8kYRWSUiPxWRfSqUxzAMw4ihyqihuPoq0QqMdwK7q+pzInI4sBjYc8KBRE4GTvb/fU5Eis6z3xl4suC+raZTZDU5y8XkLBeTcyu7J62oUhE8Crwi9P9uwGPhDVT1z6Hv14rIN0RkZ1V9MrLdhcCFzQokIstUdVazx2kFnSKryVkuJme5mJxuVOka+jWwp4jsISLbACcCV4c3EJGXi4j43/f35flThTIZhmEYESrrEajqRhH5FLAU6Ae+q6qrReQUf/0FwHHAJ0RkIzAKnKiqUfeRYRiGUSGVzixW1WuBayPLLgh9Pw84r0oZIjTtXmohnSKryVkuJme5mJwOiBnghmEYvY2lmDAMw+hxTBEYhmH0OD2jCLLyHrVIht+LyN1+XqVl/rKdRORnIvJb/++Ooe0/78u7RkQODS1/g3+c+0Xka0HkVRNyfVdEHheRe0LLSpNLRCaLyCJ/+e0iMr1EOeeLyHAoX9XhNZDzFSJyg4jcKyKrReQz/vJa3dMUOWt1T0VkWxG5Q7yJp6tF5Kya3s8kOWt1P2NR1a7/4EUt/Q54JbANsAr4yzbI8Xtg58iy/wDm+d/nAf/uf/9LX87JwB6+/P3+ujuAN+JN2vspcFiTcr0FeD1wTxVyAX8PXOB/PxFYVKKc84HPxmzbTjl3AV7vf98e+B9fnlrd0xQ5a3VP/WO+yP/eAG4HDqzh/UySs1b3M+7TKz2COuc9Ogb4vv/9+8Cc0PIfqeoGVX0QuB/YX0R2AV6sqr9S72m4KLRPIVT1JuCpCuUKH+ty4G8CC6cEOZNop5xrVfVO//uzwL146VVqdU9T5EyiXXKqqj7n/9vwP0r97meSnEm07RmN0iuKwDXvUdUocJ2ILBcvbQbAy1R1LXgvJvBSf3mSzEP+9+jysilTri37qOpG4BngJSXK+ikRuUs811HgHqiFnH7XfSaedVjbexqRE2p2T0WkX0RWAo8DP1PVWt7PBDmhZvczSq8oApe8R61gtqq+HjgM+KSIvCVl2ySZ230tReSqUubzgVcBM4C1wJcyztkyOUXkRcAVwKkaSqcSt2nCeVsia4yctbunqrpJVWfgparZX0Rem7J53eSs3f2M0iuKIDPvUStQ1cf8v48DP8ZzWf3R7wri/33c3zxJ5kf979HlZVOmXFv2EZFJwA64u3hSUdU/+i/fZuBbePe07XKKSAOvcb1EVa/0F9funsbJWdd76ss2AtwIvJMa3s84Oet8PwN6RRFk5j2qGhHZTkS2D74D7wDu8eX4oL/ZB4Gr/O9XAyf6UQJ74GVlvcPvAj8rIgf6vsEPhPYpkzLlCh/rOOB63/fZNEFD4PMuvHvaVjn9434HuFdVvxxaVat7miRn3e6piEwVkUH/+wDwNuA+6nc/Y+Ws2/2Mpegoc6d9gMPxoiJ+B/xzG87/SrwIgVXA6kAGPP/efwO/9f/uFNrnn3151xCKDAJm+Q/T7/BSdEiTsv0Qr8s6hmdxfLRMuYBtgcvwBsPuAF5Zopz/D7gbuAvvJdmlBnK+Ga+7fhew0v8cXrd7miJnre4p8DpghS/PPcAXy353KpazVvcz7mMpJgzDMHqcXnENGYZhGAmYIjAMw+hxTBEYhmH0OKYIDMMwehxTBIZhGD2OKQKjYxCRTeJlb1wtXobHfxSRWjzD4mWY/GyLz/khEWllhT+jS6m0VKVhlMyoetP3EZGXAj/Am1l5ZjuFqgoR6VfVTe2Ww+h+amFNGUZe1EvTcTJeMi/xk30tFJFf+8m9Pg4gIgeJyC9E5FIR+R8RWSAiJ4mXN/5uEXmVv91R4uV3XyEiPxeRl/nL5/uJwm4UkQdE5NOBDCLyz+Llkf85sFecnCLyPRG5QERu9s9/pL88Td4bROQHeJOQosf7sH+cXwCzQ8snyC8ifeLl6p/qb9MnXh77nUv5EYyuwXoERseiqg/4rqGX4qXnfUZV/0pEJgO3ish1/qb7AX+Bl5PlAeDbqrq/eIVY/gE4FbgFOFBVVUT+DvgccLq//97AwXg5+9eIyPl4s0hPxMvYOQm4E1ieIOp04K14icduEJFX46UNSJJ3f+C16qUm3oKfquAs4A14WSdvwJvJSpz8qnq6iFwMnAR8BS/lwSpVfdLh9ho9hCkCo9MJsjG+A3idiBzn/78DXu6WF4Bfq5+uWER+BwQN7t14DTx4ib0W+Y3tNkC4EV6iqhuADSLyOPAy4K+BH6vqev+4abmrLlUv4dhvReQBPMWSJu8dUSXgcwBwo6o+4Z9zEfCaDPm/i5en5ivAR4D/myKn0aOYa8joWETklcAmvKyTAvyDqs7wP3uoatDgbwjttjn0/2a2GkNfB85T1X2Bj+PldAkI778ptI9rfpbodkGq4SR51+U4VkCs/Kr6CF6WzkPwFMlPHWU2eghTBEZH4vu9L8Br/BRYCnxCvLTKiMhrxMvy6soOwLD//YNpG/rcBLxLRAbEyyp7VMq2x/v++VfhJR9cU1De24GDROQl/n7HO8r/beBivJ6JDT4bEzDXkNFJDIhX/akBbMTL6hikT/42ni/+Tj917xPkK+E5H7hMRIaB2/BqyCaiqnf6rpmVwEPAzSmbrwF+gedSOkVVnxeR3PKq6loRmQ/8Ci8L65149biz5L8azyVkbiEjFss+ahgVIiLfA65R1cvbKMMs4FxV/et2yWDUG+sRGEYXIyLzgE/gRQ4ZRizWIzAMw+hxbLDYMAyjxzFFYBiG0eOYIjAMw+hxTBEYhmH0OKYIDMMwepz/D3I6YmJ0/WgmAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_day = data.groupby([\"Date\"])[\"Total\"].sum()\n", "mean_Windspeed_day = data.groupby([\"Date\"])[\"Wind speed (m/s)\"].mean()\n", "\n", "plt.scatter(demand_day,mean_Windspeed_day)\n", "plt.xlabel(\"Demand per day\")\n", "plt.ylabel(\"Avg Windspeed (m/s)\")\n", "plt.title(\"Usage vs avg Windspeed\")" ] }, { "cell_type": "markdown", "id": "40b749f8", "metadata": {}, "source": [ "Realizar un grafico de barras que muestre la distribución de la demanda por estación" ] }, { "cell_type": "code", "execution_count": 532, "id": "b1421b37", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 532, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_season = data.groupby([\"Seasons\"])[\"Total\"].sum()\n", "demand_season.plot(kind=\"bar\")" ] }, { "cell_type": "markdown", "id": "c2c730a0", "metadata": {}, "source": [ "Realizar un grafico de barras que muestre la distribución de la demanda por día festivo " ] }, { "cell_type": "code", "execution_count": 533, "id": "427ac1cb", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 533, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_holiday = data.groupby([\"Holiday\"])[\"Total\"].sum()\n", "demand_holiday.plot(kind=\"bar\")" ] }, { "cell_type": "markdown", "id": "e2c78adc", "metadata": {}, "source": [ "Realizar un grafico de barras que muestre la distribución de la demanda por día funcional" ] }, { "cell_type": "code", "execution_count": 534, "id": "91a1a1c7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 534, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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BB9FdyOj7/T5OXti2qm4FbqW7CNemCcyrFcpQaxrOAt7SXy/i7qU27q8n8Xrg80mupbsYEHQfoPDK/kXDQxdt/2O6Nd6PJPkacA/wrxOY+wJgK3Ad8G/AlXTXXx7l7H7WbwCPB06oqruq6lq6JY8twLnAF3f5vvcD3+6XXKSRPD1PuhdJ9q+q7f3R/ZeB4/r16knt/63A1VX1rkntUyuPa9TSvbuof7Fvb+B1E470ZrplkZdPap9amTyilqTGuUYtSY0z1JLUOEMtSY0z1JLUOEMtSY37f+majYGnu78QAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "demand_functioning_day = data.groupby([\"Functioning Day\"])[\"Total\"].sum()\n", "demand_functioning_day.plot(kind=\"bar\")" ] }, { "cell_type": "markdown", "id": "2a9f4059", "metadata": {}, "source": [ "Se deben borrar los registro que cuyo Functioning Day == No" ] }, { "cell_type": "markdown", "id": "af932259", "metadata": {}, "source": [ "- Agregar una columna DataFrame llamada Weekend en donde los días de lunes a Jueves tendrán el valor de 0 y de viernes a domingo de 1." ] }, { "cell_type": "code", "execution_count": 535, "id": "ff7c412d", "metadata": {}, "outputs": [], "source": [ "data['Weekday'] = pd.Categorical(data['Date'].dt.day_name(), categories=['Monday', 'Tuesday', \n", " 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'], ordered=True)" ] }, { "cell_type": "markdown", "id": "e04d1914", "metadata": {}, "source": [ "Realizar un diagrama de línea que muestre el comportamiento de la demanda de bicicleta en los días de la semana por hora." ] }, { "cell_type": "code", "execution_count": 536, "id": "237820cd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 536, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax1 = plt.subplots(1,1, figsize=(12,7))\n", "sns.lineplot(x='Hour', y='Total', data=data, hue='Weekday', ci=None)" ] }, { "cell_type": "markdown", "id": "37f0f3b6", "metadata": {}, "source": [ "# 3. Tratamiento de missing, reparación dataset y codificación de variables\n", "\n", "### Solución \n", "\n", "1. Eliminar aquellas columnas que no agreguen valor al problema o aquellas que no esté relacionadas con la variable a predecir." ] }, { "cell_type": "markdown", "id": "38628bee", "metadata": {}, "source": [ "- Borrar los registro que cuyo Functioning Day == No" ] }, { "cell_type": "code", "execution_count": 537, "id": "94ac12f1", "metadata": {}, "outputs": [], "source": [ "data.drop(data[data[\"Functioning Day\"] =='No'].index, inplace=True)" ] }, { "cell_type": "markdown", "id": "f68ae6e5", "metadata": {}, "source": [ "- Borrar columna Functioning day ya que no aporta información relevante" ] }, { "cell_type": "code", "execution_count": 538, "id": "481f3bd3", "metadata": {}, "outputs": [], "source": [ "data.drop(['Functioning Day',\"Weekday\"], axis = 1, inplace=True)" ] }, { "cell_type": "code", "execution_count": 539, "id": "f0b4bb6e", "metadata": {}, "outputs": [], "source": [ "data[\"Day\"] = data[\"Date\"].dt.day\n", "data[\"Month\"] = data[\"Date\"].dt.month\n", "data[\"Year\"] = data[\"Date\"].dt.year" ] }, { "cell_type": "code", "execution_count": 540, "id": "0f2519af", "metadata": {}, "outputs": [], "source": [ "data.drop(columns=['Date'],inplace=True)" ] }, { "cell_type": "markdown", "id": "f7650fa7", "metadata": {}, "source": [ "Realizar un mapa de calor usando Coeficiente de correlación de Pearson" ] }, { "cell_type": "code", "execution_count": 541, "id": "70b2f994", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 541, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(figsize=(10, 8))\n", "mask = np.triu(np.ones_like(data.corr()))\n", "sns.heatmap(data.corr('pearson'),annot = True,mask=mask)" ] }, { "cell_type": "markdown", "id": "d604a67f", "metadata": {}, "source": [ "De acuerdo al mapa de correlación la temperatura y la temperatura de punto de roció tiene una correlación muy alta (0.91) por lo tanto se debe eliminar Dew point temperature(°C)" ] }, { "cell_type": "code", "execution_count": 542, "id": "32076148", "metadata": {}, "outputs": [], "source": [ "data.drop(columns=['Dew point temperature(°C)'],inplace=True)" ] }, { "cell_type": "markdown", "id": "16c05a90", "metadata": {}, "source": [ "2. Utilizar la codificación Label Encoding para las características Categóricas" ] }, { "cell_type": "code", "execution_count": 543, "id": "5e539415", "metadata": {}, "outputs": [], "source": [ "data = data.apply(LabelEncoder().fit_transform)" ] }, { "cell_type": "code", "execution_count": 544, "id": "6947cb2a", "metadata": {}, "outputs": [], "source": [ "data[\"Total\"] = np.sqrt(data['Total'])" ] }, { "cell_type": "code", "execution_count": 545, "id": "5f41159a", "metadata": {}, "outputs": [], "source": [ "data['Wind speed (m/s)']=np.sqrt(data['Wind speed (m/s)'])" ] }, { "cell_type": "markdown", "id": "6981bdc1", "metadata": {}, "source": [ "3. Crear un vector Y " ] }, { "cell_type": "code", "execution_count": 546, "id": "324d7571", "metadata": {}, "outputs": [], "source": [ "Y=data['Total']" ] }, { "cell_type": "markdown", "id": "d1eecd83", "metadata": {}, "source": [ "4. Crear un vector X con las características " ] }, { "cell_type": "code", "execution_count": 547, "id": "524738ae", "metadata": {}, "outputs": [], "source": [ "X=data.drop('Total',axis=1)" ] }, { "cell_type": "markdown", "id": "8fd64675", "metadata": {}, "source": [ "# 4. Determinar el conjunto de entrenamiento y el de prueba.\n", "\n", "Seleccione la metodología de validación más adecuada de acuerdo al problema, describa la misma y argumente por qué fue seleccionada. \n", "\n", "\n", "1. Hacer división de los datos 80% train , 20% test.\n", "2. Crear un Normalizer StandardScaler usando la librería Sklearn https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html\n", "2. Normalizar los datos de entrenamiento\n", "2. Imprimir el shape o dimensiones del vector de entrenamiento (x_train)\n", "2. Imprimir el shape o dimensiones del vector de prueba (x_test)\n", "\n", "Ayuda: usar la función train_test_split de sklearn https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html" ] }, { "cell_type": "markdown", "id": "288c383a", "metadata": {}, "source": [ "### Solución " ] }, { "cell_type": "code", "execution_count": 548, "id": "4b90608f", "metadata": {}, "outputs": [], "source": [ "x_train, x_test, y_train, y_test = train_test_split(X, Y, test_size=.2, random_state=42, shuffle=True)" ] }, { "cell_type": "code", "execution_count": 549, "id": "1761d693", "metadata": {}, "outputs": [], "source": [ "scaler = StandardScaler()" ] }, { "cell_type": "code", "execution_count": 550, "id": "a024ba32", "metadata": {}, "outputs": [], "source": [ "x_train = scaler.fit_transform(x_train)" ] }, { "cell_type": "code", "execution_count": 551, "id": "a933f44d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dimensiones vector de entrenamiento (6772, 13)\n" ] } ], "source": [ "print(\"Dimensiones vector de entrenamiento\", x_train.shape)" ] }, { "cell_type": "code", "execution_count": 552, "id": "72164967", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dimensiones vector de prueba (1693, 13)\n" ] } ], "source": [ "print(\"Dimensiones vector de prueba\", x_test.shape)" ] }, { "cell_type": "markdown", "id": "59d00cc2", "metadata": {}, "source": [ "# 5. Entrenamiento del modelo\n", "\n", "\n", "Evalúe los siguientes modelos:\n", "\n", "- LinearRegression: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html\n", "- DecisionTreeRegressor: https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html\n", "- RandomForestRegressor: https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html\n", "- MLPRegressor: https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html\n", "\n" ] }, { "cell_type": "markdown", "id": "26350b6b", "metadata": {}, "source": [ "##### 1 LinearRegression " ] }, { "cell_type": "code", "execution_count": 553, "id": "5a0ad6e5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LinearRegression()" ] }, "execution_count": 553, "metadata": {}, "output_type": "execute_result" } ], "source": [ "linear_regre = LinearRegression()\n", "linear_regre.fit(x_train,y_train)" ] }, { "cell_type": "markdown", "id": "87a2800d", "metadata": {}, "source": [ "##### 2 DecisionTreeRegressor " ] }, { "cell_type": "code", "execution_count": 554, "id": "a715980c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "DecisionTreeRegressor(random_state=0)" ] }, "execution_count": 554, "metadata": {}, "output_type": "execute_result" } ], "source": [ "decision_tree_regre = DecisionTreeRegressor(random_state=0)\n", "decision_tree_regre.fit(x_train,y_train)" ] }, { "cell_type": "markdown", "id": "c4cf5e86", "metadata": {}, "source": [ "##### 3 RandomForestRegressor " ] }, { "cell_type": "code", "execution_count": 555, "id": "2b92f866", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "RandomForestRegressor(random_state=0)" ] }, "execution_count": 555, "metadata": {}, "output_type": "execute_result" } ], "source": [ "random_forest_regre = RandomForestRegressor(random_state=0)\n", "random_forest_regre.fit(x_train,y_train)" ] }, { "cell_type": "markdown", "id": "542bfc45", "metadata": {}, "source": [ "##### 4 MLPRegressor " ] }, { "cell_type": "code", "execution_count": 556, "id": "f49e359b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "MLPRegressor(max_iter=500, random_state=1)" ] }, "execution_count": 556, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mlp_regre = MLPRegressor(random_state=1, max_iter=500)\n", "mlp_regre.fit(x_train, y_train)" ] }, { "cell_type": "markdown", "id": "d08f11af", "metadata": {}, "source": [ "# 6. Calcular las métricas de evaluación\n", "\n", "1. Usar el normalizer para normalizar los datos de test\n", "\n", "2. Para cada uno de los anteriores modelos se debe mostrar el resultado obtenido:\n", " - MAE\n", " - MAPE\n", " - MSE\n", " - RMSE\n", " - R2" ] }, { "cell_type": "code", "execution_count": 557, "id": "69afa742", "metadata": {}, "outputs": [], "source": [ "def metrics(modelo, y_test,y_predict):\n", " \n", " mae_test = m.mean_absolute_error(y_test, y_predict )\n", " mape_test = np.mean(np.abs((y_test - y_predict)/ y_test))\n", " MSE_test = mean_squared_error(y_test,y_predict)\n", " RMSE_test = mean_squared_error(y_test,y_predict,squared=False) \n", " R2_test = r2_score(y_test,y_predict)\n", " \n", " print(\"MAE\",modelo,mae_test)\n", " print(\"MAPE\",modelo,mape_test)\n", " print(\"MSE\",modelo,MSE_test)\n", " print(\"RMSE\",modelo,RMSE_test)\n", " print(\"R2\",modelo,R2_test)\n", " \n", " plt.scatter(y_predict,y_test,color='b')\n", " plt.xlabel('Predicted')\n", " plt.ylabel('Actual')" ] }, { "cell_type": "markdown", "id": "88de5e5c", "metadata": {}, "source": [ "### Solución " ] }, { "cell_type": "code", "execution_count": 558, "id": "81968752", "metadata": {}, "outputs": [], "source": [ "x_test_norma = scaler.transform(x_test)" ] }, { "cell_type": "markdown", "id": "d5e3ac03", "metadata": {}, "source": [ "##### 1 LinearRegression" ] }, { "cell_type": "code", "execution_count": 559, "id": "f41c106a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MAE LinearRegression 4.9694898454556675\n", "MAPE LinearRegression 0.3129764276153935\n", "MSE LinearRegression 41.27088411053848\n", "RMSE LinearRegression 6.424241909403667\n", "R2 LinearRegression 0.6595301444306261\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "modelo = \"LinearRegression\"\n", "y_predict = linear_regre.predict(x_test_norma)\n", "metrics(modelo, y_test,y_predict)" ] }, { "cell_type": "markdown", "id": "85a0cdb7", "metadata": {}, "source": [ "##### 2 DecisionTreeRegressor" ] }, { "cell_type": "code", "execution_count": 560, "id": "c2b8edae", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MAE DecisionTreeRegressor 3.2869517166829247\n", "MAPE DecisionTreeRegressor 0.18780560214908054\n", "MSE DecisionTreeRegressor 25.397486661802432\n", "RMSE DecisionTreeRegressor 5.039591914213137\n", "R2 DecisionTreeRegressor 0.7904799278733903\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "modelo = \"DecisionTreeRegressor\"\n", "y_predict = decision_tree_regre.predict(x_test_norma)\n", "metrics(modelo, y_test,y_predict)" ] }, { "cell_type": "markdown", "id": "9ef3e148", "metadata": {}, "source": [ "##### 3 RandomForestRegressor" ] }, { "cell_type": "code", "execution_count": 561, "id": "c16f7178", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MAE RandomForestRegressor 2.35644500555775\n", "MAPE RandomForestRegressor 0.14395962744384644\n", "MSE RandomForestRegressor 13.418602744790407\n", "RMSE RandomForestRegressor 3.663141103587249\n", "R2 RandomForestRegressor 0.8893013843312604\n" ] }, { "data": { "image/png": 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lhPW3fY2DOEtLWtiT3j92bPZ6MjFPWtOUUx0UftIpsuTUSRKWJPNNlLSAMNt5wu2mBUTajIieozh2zJxfKAi2Pw1NJsDb3jY/AR7fj5SMKY9DGQXA1QC+BOBrAL4J4H3T7TsA3A/g0enf69POxVw9xJW0nDoueXOy5PNJu57pPOvr2dIlty33Tnjv8fxCi4vzbWi7t/iykiQfqDtXj4gIgGWl1EURGQL4AoDDAN4K4LxS6k4RuWMq/O9JOhdt/MSVtJw6LmSxNyfZ+I8cMZ8ni9vl4iJw7bVml1BfEdGmNZc2TArQ6tKTUFPUbuOfdjih5W44LQrAmwGcmG4/AeAtVdWB9I8yVtjKks8nydvEdh4X0RfR5g6l2iX6gG5rlzbMkraClEulNn4RGYjIQwCeBHC/UurPALxIKfU4AEz/vtBy7CEROS0ip5966qkqq0k6RBmJtbJ2Hmtr+vyh4B05kjyhnKUOly/nP0cThG3t0oZJE+BJk8OkBEz2n7ILgBcA+AyAVwB4Ovbe99OOp42fZKHoSkxZc/aXZctvS7GtPTAYzNrIpQ2Tlq1s0ypXPoOml14E8F4AvwHgEQA7p9t2Angk7VgKP6mbLJ2HbYJ3MNDin7b0YduWRgwCpYbDZFF3aUNbu3Fitzxswl/l5O4NAC4rpZ4WkWsAfArAbwL4SQAbaja5u0Mp9e6kc3Fyl/hMUnDY0tK8n3+c0cjPAK4kV9Nw0vn8eW2+OXo0u+tlGcFvJJkmArh2AviMiHwdwJehbfz3AbgTwM0i8iiAm6evCWktSbb8zc1Z6mQbPoo+oEV4PDYHuYULzBRJV8w0DM3BlA2EFOT224G77266FtUwHCZPMI/HFGqfYcoGQipgMpmlDu4ily8nL+eYJTVFlbhGWhMNhZ90lqrFILRRdz2bZtL9+ZBnyJamg+Jvh8JPOkkdYnD4cPrEbRcYjex+9VWuZRAlqRMvI1Fe36Dwk05StRhMJu2LqM3DYKAzZ25szKdXqCt7ZlonniXSuil8M0VR+EknySsGrj/QPowml5d1O4QdnFIz8a/TAyetEy8jTUeV+GiKovATr8k7UsojBqYf6IEDwBveMF8Hn0aTVTAa6fWC4x49Ss0SrZUl+mmfcVonXkaajirx0hRliuryrTByt59kTZ1Q9FhbJGm8DIftS5WctYjYUyqIlPYRO31OSamvo+cpkqajSupoRxtoOmVDkULh7ycuP/gksopBUu6YeInnmu9aGY2Kt78LrqKedwDgA3W0ow2b8NPUQ7zF1U4fNxXcfrv+e+CAfv/kSbNpIn7cjh3udQsjV9tCfGI2KQ9+aCapw4Ti8hm3PcLXS1OUqTfQHQX+M4DfsRXbcVUUjvj7RThSTxqNhvu5mFxElNq7d/vof+/ebCP8NpcwCVz4dzSyZw4Ngu0j6apNKE2OhuukKVMUspp6ABxMKrbjqigU/v5geqw3PeKn7ceS3H5hW+cVo7KErO1mHN/JLPw+FQp/f0gb6YeC4DoRm6dEnwS6+FSQZf1hE+PxfFrm4bCY+Ps6Mdt2bMKfmqRtml75PQBuhF5APTQRvb40e1MKTNLWbSYT7dp29qyWERPRNXMnE2D//nrqlpSauEtkSYe8umoOXgsC4Ny58utG8lMkSdsEwMMAXgrgfQAeg06zTEhh4r7zNkL/+3D/uuiD6AMzv3KXuAlbxHIfIpm7govwB0qpD0EvqvI5pdTbAbym4nqRnmAKbokT9YBw2Z/kI4wojQaw7d+vR/h5o0x9S1VANC7CH8buPS4ibxSRnwDw4grrRHpEWgTswsJ2E0TWiNnQ/W95OV/9fCbJJTPPfgsL5k51Y2N7igFbwrb4dh9TFRCNi/D/OxH5IQC/Dr1m7gcB/FqltSK9IS2fSmjXd90/ShDMVoh69tnMVbOysjLzKW+KwQC47bZ5/3ARYO/e2apZg4EW3aQMm4BeSjHe1lGiKQaOHdP7x48/dmz7Ni9TFRCNacbXt0Kvnu7i4paZFsWZ5J0Teog07UlTRQnbw+QRY2qn4dAccRwE7vEQ0c8hzROnyVQFNvrmQYS87pwA7gVwPF7SjiuzUPi7TVogVlwooj/eMCgpqXQ1r04Q2AXM5u4aBGbhc7neYJBNMH0LzupjzIBN+F1MPfcB+MS0PADgOgAXK3j4ID3ANtm3smI/Jm7eWVvT5psrV4ATJ9JNLj55mwyH5Z1rY0PLl8l2bpsLOX9+1nbRNBZJyyuGbG3Zr2di3776c/hzwRZHTL1BUoGeF/h01uOKFI74u0EW80OWEdn6ejsCrQaDap8+oiNp23WCwNyGafXOOnI3fdYi+rOqirQRvY+mp6pBWZG7AH4UwLezHlekUPi7QdZo2yw22PHYzezjsk+VpcoOKhSw8dh+HZvwJ5ll8ghmE2aetGu6RoV3idzCD+ACgGci5S8A/LO048osFP5ukFX0bD/EpAnNtHM2ae9PSnVcRgcRtkXS5LdNrJNGy3lEPKn+VZHWQbnmgeoSpY34mygUfn+JCkM0+2P8B+Q6Io+WwcB8nqTH+eXlfKJcdVlcnCWXS9t3aUmbRGyd1MrKfK6cNJF2EessHkJ5F7WJelqVTZYFW/K0TxspMuJ/wGVblYXC7ydJI6hQvMIfWV4TR5bVmMZjPxdIWViY2bbThH952S0tsm17UjsXGdFmdYNMMjdVJa5ZOqi+2PszCz90QrYdAL4G4Prp/zsA7AbwsO24KgqF30+qzJBpE3bb+6EgNS3yaaJbZERe5DMxPT1VTdJnVRWuHZRvrqZVkUf4DwP4LoC/AfCd6f/fnXYE77QdV0Wh8PtJ3Z40SaP5pElIX4pLHYuKok++6j6Lq0/tVCVFTD3vStun6kLhz0dTqyc1Vcr22FleLrdDcXkqKUMUs3zuVX5HfBfXsu/dx6jgIsL/KwBeEHl9PYDb044rs1D4s1PHj67MVbCSlgNssoSUdY9p8yJ1ikWe70geW79vYlgFvnZyRYT/IcO2r6YdV2ah8GenrsdsF7u1S4nmi2na1z5eL5Hio/74kodxj534WrdV4ZLuwvYd8VXcfMBXs5ZN+F1SNiyIzAKvRWQAYDFhf+IBtpD9rGmNk4iunDUaAevr89kiXdnYmKVW2Noy77O4WG7KAxfCtAh6vJOf+OpWzz23/f346yqIp0m2tbPtO8KUB3bq+L2ViYvwfxLAR0Vkr4i8HsBHAPzPaqtFimJLX5wlrXESplzrJ04ABw8mp//NSxAAx48D996r87C0jajoNyWgrovY2L4jbRO3Oqn691Y2Lj+h90AnZ1uHtvd/HcA1VVaKFOfo0fnRd5kJsmzidepUcsK1ImRJKOYT8frahPLMGb3aVVWrVbkIdNJ3pG3iVidV/95Kx2T/iRcArwTwWwDOAPgM6M7ZCsqcWIufqwl7e1nzCWWXq65Kn5eItmGeeYEySPLxd/UAoo3fjo8T2cjhx/8jAP4N9ELrXwDwLgBnbPsbjn/JtJN4GMA3ARyebt8B4H4Aj07/Xp92Lgp/s2T13qnKn/7qq8s/5403zn6sReqdltMmrwdUmZODZQi3j+JG7OQR/isAPgfgZZFt37Htbzh+J4C/O/3/WujkbjdOnxzumG6/A8Bvpp2Lwt8seUbZSSLqSz6deIrgIsJvE3fXiN2kdsxCmjBTuPtFHuH/GQB/COAvAfwegL0AvmvbP60A+BiAmwE8AmCnmnUOj6QdS+FvFt8jYouIdZQiZqRoBsisOXSy1DEJmmJInMzC/4MdgGUAa9ArcW0CuBvAT6UdFzvHbgBnoVfvejr23vctxxwCcBrA6V27dlXeQMROHkEcjfzyx7eVeEK0vAFkJoF28ZkvM6laGb7kSU8EfFpoH7mFf9vO2j5/KzKswAVgBcCDAN46fe0k/NHCEX/9mIKMXEsoWE2Lepa6huRdzSu+/q1LJxLNYCoyC2LLK6xJGSddRNv2xGBLEc2nCf8pRfizFgBD6DiAfxnZRlOP54zH8/ne4yNIF8Hy0QPHdj8hZSzUsrRkP0/WBcuzYGvvIHAzASXl0HdpO+IfNuEX/V75TKN9TwA4r5T61cj29wPYUErdKSJ3ANihlHp30rn27NmjTp8+XUk9yTy7d2ufchOjkV6k20Q0knfXLuBlLwMeeKCqWpaLCLBjh31hdhF9T7Z2yXKdK1eKncNGGFQXja9YWgKuucZ8X/HPcmFBy3kWqrwfUhwReVAptSe+vcoYyNcCOADg9SLy0LTsA3AngJtF5FHoyd47K6wDyUFSoI9N+EyRvL6JflLEr1J20Qe06JuCdLJSZbDT2ppODTEaaUEejfTr8+fN+8c/5zx1Y/BWSzE9BvhWaOqplyQTzWCQ/RhfynCYf4Uu08pXaZPX8Wv5nhffZOOvakUvUg8okKSN9IykMPOtLXMqgTbka7l8Gbj22tmI2JUgmKWLWFvT5pErV9JNHNFrBYE2uRw4UE06hiRc0wmYnhhuu838lBME84nnSIsw9Qa+FY74qydLSob4SC/PQupNlWhAlMtTStKoNu34qG9/0/71RVwx6cbZXtCEV09ZhcJfLXn814Mg/7FNlqh5w1T34XB+XYAs7o+ma/maq510H5vw09RDnNP1RtnYmHnxZD22KeLmjbhpIwiA667T9yYyy1d/5oyeuI6bZ8LjTWmoo9diOmPiGxT+HjOZJLtupnHkSHH3xjJJS9e8uanXC7j99tm2tTUt0KErZ+jZo9T8saZ8+WtrwLlzwHg8700T2r+rSGccfnZVpXAmHcf0GOBboamnfFxMNNHlEJPs2E2bb0KbeZb9wwRtWUxVWROmJbV1ERu/D3MGpB2ANn4SJW1icjicCYlN/BcWmhP65eX5CccsLqWhW2qWY4rY5MucIOWcAXHFJvw09XQQFzNAmn056u74cz837/64uNh8xGboVvnYY9qssm+f+7Gh/d7Vzi5SbDWlqBtoWN+8cM6AFIXC3zFMEbSHDmm7drQz2LEj+TyXLgG/+Ita8O6+W58rRKT+Rc/jPPvs/LZTp9yPD+cDXO3sSpXrs17ERs8lEElRKPwdw7YW7j33bO8MLlxIF2/biF4ps/DWTVw0s4x4Dx3Sf48edQvmGo0yV8+KrXN2Ff/Wre9K/MNk//Gt0MbvTpbJ1iBoT+BVUsmyytXCwvzKW67nL4OkYLey8uYTEgLa+PtBlsf9jY2ZrbvNhK6WLknUrroKeO1rt29LGs3HXTOLEI70bW2e5YmlzDkD0j8o/B3DJH5Z8tK0lbNnZwFVSf78ly4Bhw9v32YznYzH5YpqWrAbbfSkLij8HSNLoq024JpQLRTNtTXgxInk+42nX7alMy57FJ00oqeNntSKyf7jW6GNvzjr683b4quy3Zts8GlLP+aliG3ddh+DAW30pBpAG3/7KeICmMXV0QeiaX+TbPeDgU7DEB+dr62Zc+iE585DVd44J07QRk9qxtQb+FY44k9eJCNp5Jk1otWnEr2vpPuwed3Y1g6Oe/WktXvawiv0xiG+AqZsaDdZzB1RkfQll07eEt7XeJycN8gmvuvr823g6p7pmscnbw4fQqrGJvyVLbZeJlxs3W0h7NFImxPiC263nSAAnnsu+Z5si37bso8Ggc6qmYRr5tKkBei7SJiO++zZ2VrENFX5SROLrZMScXH1O3u2XfnxXdnYSL8nWwoKmydNuJ5AEi5+9X3zxik6z0H8gMLfElyCk3bt6m+irmeeMYtPUodpyq/vcuxgUMzts8259G0pQdLakvgFhb8lRH3NbVy8mJ58rW0sLbl54Vy+bBafpNF4WieZ5IWTN2K27SNmZgbtBhT+FpHm2rixoZOvdYVwRH3smFsAmkl8ktw608xnVQR2tX3EzMygHcE04+tb6YNXj83NL749bUWstpTFRbOrZVjCxdxN7ZPVrdKnFatsXlZt8QzyqS1JOqA7p7/Yfkzr69mXFGxDCSNVk6Jrk4RwPNYdR7wjSRKfNP/5uvzru7B6FmMR2gOF32OSQvmbFumsxTVuYDTSHZvtHoPALi6mwKzoUpFZqXMUyxEzqRMKv8e0PcgqKvplPKWYzEBRccwzak4apdY9CueImdQFhd9jujLi37tX30/RNBHLy8lCnNRR2lI3JI2y2253J8SGTfjp1eMBNrfBQ4falU75oYe0W+Lhw24RrzZsyzqGXjtJHiQm18g0TxqbC2zXXGMJCaHwe4DNbfCuu+a3+8zGBvBLvzSf774sQsFPcmk1uUbS95yQ7VD4PSFcSu/kSf16/369TOD+/fr1yZPtSA3w/PPFzxEEyYuJhx2ljbigp/menz9vft+2nZC2Q+FviGjY/uqqLiLAgQMzM0m4NuuZM3r7rbc2Vt3SSFtNa3FRB2ylBU6trdmfgOJCbzOlhR0Jg5JI7zAZ/n0rvk/uunhpRPcJguTgpa6WaFskuXG6tm0W18iyzkNImwC9eqrBRTRc87p3ucQF3cWTxrVty3CNpIsl6SI24Wc+/oLYcrZHc7S75nXvKouLwPHj2001Rdqtb/nvCclL7fn4ReS4iDwpIt+IbNshIveLyKPTv9dXdf26cPEY6ar3yGCQ/F5on4+LPpBudwfojdNF2pySuktUObn7YQC3xLbdAeABpdTLATwwfd1qbBOACwuzL3dX/cHDyec4LqmLXTJfctK1W7Q9JXWnMNl/yioAdgP4RuT1IwB2Tv/fCeARl/P4bOM3renaxbK4OLOBLyzY9yvTPs5J127RhQR1bQMWG/9VNfczL1JKPT7tcB4XkRfadhSRQwAOAcAuT4d4k4ke2bZgmsQJEf10YgrAev55bWKxvR8eX6btPRz9c33XbkDTnT9UOrkrIrsB3KeUesX09dNKqRdE3v++UirVzu/r5G7XJm1HI/0jzPuV4KQrSYKT9fXjy2LrT4jIzmmFdgJ4subrl0qXRF9E389CgW9EWmQxJ/b6jcuEPqmHuoX/4wAOTv8/COBjNV+/NCaT9CjUNhGO8m0TtmkEQbIJhhN7pIqlLEk+KjP1iMhHANwEYBXAEwDeC+BPAHwUwC4AZwH8rFIqNSOKj6aeus08CwvaRfLy5fLPe+VKsXMsLc1+wJPJzCYfejOdP6+vY+pU+JhPSHXYTD2VTe4qpX7B8tbeqq5ZJ3VPSCkFvOMdwD332G3wQQD89V/b0xqbyCv6QaAFPTrhGo7qwxTI0Ulg25MEJ/YIqR8macuJzdHIlFmyrOudOpU88bqxUY+H0fo6cO7cvJ++Ke99GmE70v5PSH1Q+HNimqhaXNR/NzeTo1rzcOaMm2kpi/DmmaMIAr1OgImso/dwYs9H+39SR9TVTqqr90UMmJz7fSu+BnBFE3utrDQfZOVSBoNZIrI8xyctR+hyzuj1i6yhWyVJgWNdDSrr6n31HTA7Z7nE0yw3LehZSii6ecQ/bUHzpCykNiHxbc3bpI7It06qLLp6X33HJvw09eQgbpqoaqnBqggXdjlzZt7cc9VVdhPQcAhcvGg3BcTd9YJAlzTXPd9y8iRFmHY1+rSr90XMUPhzkGcSsy5uvFGLbRpKzf6GQj8aAR/+sJ60VQoYj7eLuMhsAtlmhw+XkLxyRU8AmyaB4/gW2JPUEfnWSZVFV++LmKHw58DnUdATT+ilC13EP0Sp2f4HDsxG81ERX1kBLl3afpxpYfM8+BbYk9QR+dZJlUVX74tYMNl/fCu+2fjzTozWVRYX523lWc8Rt8f7ZoevmrSlGru4WldX76vPgCtwFSMekdo2u77IzLzjClfDIqTd+JKkrTVEfZpXV4G3v729k7mArvdopP939d+PmrRoCiCkO1D4DZi8duL27bYRjsyVAk6edOsEohN7vtnhCSH5oanHQFvy7AcB8Mwz2xO3DYdamKMdVTSJWpSk+7QdQwhpDzT1ZKAOr53RKJvnDaAFfX19NrV67hxw773bR+H33qsXN3cZmSfdp6+iz7QChJSAacbXt1K3V0+VXjtLS3qd3vAaWT1uygyjb1u0pm9pBegFQ3wHjNx1xzSRWRYHD+p1ekMTS1ZL2+YmsH+/nnBeXS028m3bhK0pcK6sWIKs+JhYjhBnTL2Bb6UJP/68uWzSSlV5fcInh6wjzzaNWn2KJWjb0xLpJ+CIPxth1Gro/VIWVbmChk8OaSPPuI0cmEXnJqVV8AGf0gowt42Gcy7thMI/xfYFrtLsUxU280fbzRM+maZ86oSaou3fp15jegzwrVRt6kmbNByPyzPRBMH8tZImeIMgn8nJZP7ognnCF9OUbxPNTdCF71PXAfPx23H5Ao/HxRdbiS7mERWv9fV0AU/Lde/y4/PJRt4FfOmEmoLfJ/+xCT9NPUi314aPtBcv2s+xuKiDp2yIbDfBRO3qd91l9+kPTQe2XPfhuaPYzB80T5RLNHup7/MjVcDvU3uh8MP+RV1YmCVnM+XfHwxmQVLHj8+CqcL3AC3Ow2H65OuxY+n2a1Oue6VmKRjSArZ8spGT9sPvU4sxPQb4Vpqw8ee1o8cf/21zAyZTTB2mg76bJ0i58PvkN2Ba5mQmEx1ctbXlfsxopEc30XTNFy64JXQT0SN3QgipCubqSWFtLZsQLy0B+/blz+JJOyghpCko/BFcxDhqRz91Kt/au7SDEkKahMIfIS1YazTa7sHhGqUZBMxjTwjxh6uaroBPhGJ8+PB8agXTKH3XrvS8/UtL2mOHQk8I8QWO+A2srOi/oUumbZRuekIYDvUI36fRPfOpEEKicMQfIQzUCu32W1uzkb5JvMNtoVfPrl32fZsifk9hHAHgVz0JIfXRWXfOMPAqiyDbliIM16ttI128J0KIGzZ3zk6O+POOcruYareL90QIKUYnbfx5V2rqYu6RLt4TIaQYnRT+vKPcLuYe6eI9EUKK0Yjwi8gtIvKIiHxbRO4o+/x5R7nxDJi+eOUUoYv3RAgpRu2TuyIyAPAXAG4G8D0AXwbwC0qpb9mOyTq5G7fxA3qUS8EjhPQJn3L1vBrAt5VS31FKXQLwXwG8ucwLcJRLCCF2mvDq+WEAfxl5/T0Afz++k4gcAnAIAHblmIlcW6PQE0KIiSZG/GLYNmdvUkp9QCm1Rym154YbbqihWoQQ0g+aEP7vAXhJ5PWLAfxVA/UghJBe0oTwfxnAy0XkpSKyCODnAXy8gXoQQkgvqd3Gr5R6XkTeCeCTAAYAjiulvll3PQghpK80krJBKXUKwKkmrk0IIX2nFUnaROQpACmZ73vDKoBzTVfCQ9guZtgudvrQNiOl1Jx3TCuEn8wQkdOmgIy+w3Yxw3ax0+e26WSuHkIIIXYo/IQQ0jMo/O3jA01XwFPYLmbYLnZ62za08RNCSM/giJ8QQnoGhZ8QQnoGhd9TROS4iDwpIt+IbNshIveLyKPTv9c3WccmEJGXiMhnRORhEfmmiByebmfbiFwtIl8Ska9N2+Z90+29bxtArwUiIl8Vkfumr3vbLhR+f/kwgFti2+4A8IBS6uUAHpi+7hvPA/h1pdSPAXgNgF8RkRvBtgGAvwHweqXU3wHwSgC3iMhrwLYJOQzg4cjr3rYLhd9TlFKfB3A+tvnNAE5M/z8B4C111skHlFKPK6W+Mv3/AvQP+YfBtoHSXJy+HE6LAtsGIvJiAG8E8MHI5t62C4W/XbxIKfU4oAUQwAsbrk+jiMhuAD8B4M/AtgHwA3PGQwCeBHC/Uopto/ltAO8GcCWyrbftQuEnrUREVgD8EYBfVUo903R9fEEptaWUeiX0OhevFpFXNFylxhGRNwF4Uin1YNN18QUKf7t4QkR2AsD075MN16cRRGQILfoTpdQfTzezbSIopZ4G8FnoeaK+t81rAfxTEXkMeo3v14vIGD1uFwp/u/g4gIPT/w8C+FiDdWkEEREAHwLwsFLqP0beYtuI3CAiL5j+fw2ANwD4P+h52yil/pVS6sVKqd3QCz99Wim1Hz1uF0bueoqIfATATdCpY58A8F4AfwLgowB2ATgL4GeVUvEJ4E4jIv8IwJ8C+HPM7LX/GtrO3/e2+XHoScoB9KDuo0qpfysiAXreNiEichOA31BKvanP7ULhJ4SQnkFTDyGE9AwKPyGE9AwKPyGE9AwKPyGE9AwKPyGE9AwKP+kFIrIlIg+JyDdE5L+JyFKBc31YRP759P8PTpPE2fa9SUT+YY5rPCYiq3nrSEgSFH7SF55TSr1SKfUKAJcA3BZ9U0QGeU6qlHqHUupbCbvcBCCz8BNSJRR+0kf+FMDLpqPxz4jIHwD482mCs/eLyJdF5Osiciugo4VF5L+IyLdE5BOIJPMSkc+KyJ7p/7eIyFem+fAfmCaRuw3Ar02fNv7xNLr2j6bX+LKIvHZ6bCAin5rmi/9dAFJzm5AecVXTFSCkTkTkKgA/DeB/TTe9GsArlFLfFZFDAP6fUurvicjfAvBFEfkUdAbQHwXwtwG8CMC3AByPnfcGAL8H4HXTc+1QSp0XkXsAXFRK/Yfpfn8A4D8ppb4gIrsAfBLAj0FHZn9hGmn7RgCHKm0I0mso/KQvXDNNVwzoEf+HoE0wX1JKfXe6/acA/HhovwfwQwBeDuB1AD6ilNoC8Fci8mnD+V8D4PPhuRJC/98A4EadcggAcJ2IXDu9xlunx35CRL6f7zYJSYfCT/rCc9N0xT9gKr7PRjcBeJdS6pOx/fZBL2iShDjsA2jz6j9QSj1nqAvzp5BaoI2fkBmfBLA+TfsMEfkREVkG8HkAPz+dA9gJ4J8Yjv3fAH5SRF46PXbHdPsFANdG9vsUgHeGL0TkldN/Pw9gbbrtpwH0Zv1XUj8UfkJmfBDafv8V0Yvc/y70U/F/B/AodEbQuwF8Ln6gUuopaLv8H4vI1wD84fSt/wHgZ8LJXQD/AsCe6eTxtzDzLnofgNeJyFegTU5nK7pHQpidkxBC+gZH/IQQ0jMo/IQQ0jMo/IQQ0jMo/IQQ0jMo/IQQ0jMo/IQQ0jMo/IQQ0jP+PwwlEh7xtIS1AAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "modelo = \"RandomForestRegressor\"\n", "y_predict = random_forest_regre.predict(x_test_norma)\n", "metrics(modelo, y_test,y_predict)" ] }, { "cell_type": "markdown", "id": "f723c858", "metadata": {}, "source": [ "##### 4 MLPRegressor" ] }, { "cell_type": "code", "execution_count": 562, "id": "124a837e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MAE MLPRegressor 3.0239184964043506\n", "MAPE MLPRegressor 0.18172378734939515\n", "MSE MLPRegressor 18.48255097322648\n", "RMSE MLPRegressor 4.299133746840924\n", "R2 MLPRegressor 0.8475256443851863\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "modelo = \"MLPRegressor\"\n", "y_predict = mlp_regre.predict(x_test_norma)\n", "metrics(modelo, y_test,y_predict)" ] }, { "cell_type": "markdown", "id": "612b0e72", "metadata": {}, "source": [ "# 7. Conclusiones" ] }, { "cell_type": "markdown", "id": "20245ad7", "metadata": {}, "source": [ "Una vez obtenidos los resultados deberá realizar un análisis de los mismos y definir claramente cuál es el mejor modelo según el problema." ] }, { "cell_type": "markdown", "id": "71937ce5", "metadata": {}, "source": [ "### Solución " ] }, { "cell_type": "code", "execution_count": 563, "id": "7586c2b2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ModeloR2MAPE
0LinearRegression0.660.31
1DecisionTreeRegressor0.790.18
2RandomForestRegressor0.890.14
3MLPRegressor0.840.18
\n", "
" ], "text/plain": [ " Modelo R2 MAPE\n", "0 LinearRegression 0.66 0.31\n", "1 DecisionTreeRegressor 0.79 0.18\n", "2 RandomForestRegressor 0.89 0.14\n", "3 MLPRegressor 0.84 0.18" ] }, "execution_count": 563, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_results = pd.DataFrame({\"Modelo\":[\"LinearRegression\",\"DecisionTreeRegressor\",\"RandomForestRegressor\",\"MLPRegressor\"],\n", " \"R2\":[0.66,0.79,0.89,0.84],\n", " \"MAPE\":[0.31,0.18,0.14,0.18]})\n", "\n", "df_results" ] }, { "cell_type": "markdown", "id": "d7e39b84", "metadata": {}, "source": [ "El mejor modelo es el RandomForestRegressor ya que logra un desempeño de 14% de Error Promedio Porcentual Medio (MAPE) y un R-cuadrado de 0.90 lo cual indica una correlación lineal positiva ya que se encuentra cercano a 1, finalmente al visualizar el diagrama de dispersión podemos ver que los punto tiene a estar mas cerca de la diagonal." ] }, { "cell_type": "markdown", "id": "329c45ad", "metadata": {}, "source": [ "\n", "Profesor: Jose Alberto Arango Sánchez
[](https://www.linkedin.com/in/jose-alberto-arango-sanchez-79a337142/)\n", "\n", " \n", "\n", "@jose.arangos
[](https://github.com/josearangos)" ] }, { "cell_type": "markdown", "id": "1f5252e1", "metadata": {}, "source": [ "" ] } ], "metadata": { "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": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 }