diff --git a/2-Regression/4-Logistic/solution/notebook.ipynb b/2-Regression/4-Logistic/solution/notebook.ipynb index be24dd5a..ce69d7dc 100644 --- a/2-Regression/4-Logistic/solution/notebook.ipynb +++ b/2-Regression/4-Logistic/solution/notebook.ipynb @@ -6,7 +6,7 @@ "source": [ "## Logistic Regression - Lesson 4\n", "\n", - "Load up required libraries and dataset. Convert the data to a dataframe containing a subset of the data" + "Load up required libraries and dataset. Convert the data to a dataframe containing a subset of the data:" ] }, { @@ -15,8 +15,175 @@ "metadata": {}, "outputs": [ { - "output_type": "execute_result", "data": { + "text/html": [ + "
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City NameTypePackageVarietySub VarietyGradeDateLow PriceHigh PriceMostly Low...Unit of SaleQualityConditionAppearanceStorageCropRepackTrans ModeUnnamed: 24Unnamed: 25
0BALTIMORENaN24 inch binsNaNNaNNaN4/29/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
1BALTIMORENaN24 inch binsNaNNaNNaN5/6/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
2BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
3BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
4BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN11/5/1690.0100.090.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
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" + ], "text/plain": [ " City Name Type Package Variety Sub Variety Grade Date \\\n", "0 BALTIMORE NaN 24 inch bins NaN NaN NaN 4/29/17 \n", @@ -40,45 +207,139 @@ "4 NaN NaN NaN N NaN NaN NaN \n", "\n", "[5 rows x 26 columns]" - ], - "text/html": "
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City NameTypePackageVarietySub VarietyGradeDateLow PriceHigh PriceMostly Low...Unit of SaleQualityConditionAppearanceStorageCropRepackTrans ModeUnnamed: 24Unnamed: 25
0BALTIMORENaN24 inch binsNaNNaNNaN4/29/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
1BALTIMORENaN24 inch binsNaNNaNNaN5/6/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
2BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
3BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
4BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN11/5/1690.0100.090.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
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" + ] }, + "execution_count": 1, "metadata": {}, - "execution_count": 1 + "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", - "pumpkins = pd.read_csv('../../data/US-pumpkins.csv')\n", + "full_pumpkins = pd.read_csv('../../data/US-pumpkins.csv')\n", "\n", - "pumpkins.head()\n" + "full_pumpkins.head()\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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City NamePackageVarietyOriginItem SizeColor
2BALTIMORE24 inch binsHOWDEN TYPEDELAWAREmedORANGE
3BALTIMORE24 inch binsHOWDEN TYPEVIRGINIAmedORANGE
4BALTIMORE24 inch binsHOWDEN TYPEMARYLANDlgeORANGE
5BALTIMORE24 inch binsHOWDEN TYPEMARYLANDlgeORANGE
6BALTIMORE36 inch binsHOWDEN TYPEMARYLANDmedORANGE
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" + ], + "text/plain": [ + " City Name Package Variety Origin Item Size Color\n", + "2 BALTIMORE 24 inch bins HOWDEN TYPE DELAWARE med ORANGE\n", + "3 BALTIMORE 24 inch bins HOWDEN TYPE VIRGINIA med ORANGE\n", + "4 BALTIMORE 24 inch bins HOWDEN TYPE MARYLAND lge ORANGE\n", + "5 BALTIMORE 24 inch bins HOWDEN TYPE MARYLAND lge ORANGE\n", + "6 BALTIMORE 36 inch bins HOWDEN TYPE MARYLAND med ORANGE" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "from sklearn.preprocessing import LabelEncoder\n", - "\n", - "new_columns = ['Color','Origin','Item Size','Variety','City Name','Package']\n", + "# Select the columns we want to use\n", + "columns_to_select = ['City Name','Package','Variety', 'Origin','Item Size', 'Color']\n", + "pumpkins = full_pumpkins.loc[:, columns_to_select]\n", "\n", - "new_pumpkins = pumpkins.drop([c for c in pumpkins.columns if c not in new_columns], axis=1)\n", + "# Drop rows with missing values\n", + "pumpkins.dropna(inplace=True)\n", "\n", - "new_pumpkins.dropna(inplace=True)\n", - "\n", - "new_pumpkins = new_pumpkins.apply(LabelEncoder().fit_transform)" + "pumpkins.head()" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Check the data shape, size, and quality" + "# Let's have a look to our data!\n", + "\n", + "By visualising it with Seaborn" ] }, { @@ -87,38 +348,48 @@ "metadata": {}, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, + "execution_count": 3, "metadata": {}, - "execution_count": 3 + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "new_pumpkins.info" + "import seaborn as sns\n", + "# Specify colors for each values of the hue variable\n", + "palette = {\n", + " 'ORANGE': 'orange',\n", + " 'WHITE': 'wheat',\n", + "}\n", + "# Plot a bar plot to visualize how many pumpkins of each variety are orange or white\n", + "sns.catplot(\n", + " data=pumpkins, y=\"Variety\", hue=\"Color\", kind=\"count\",\n", + " palette=palette, \n", + ")" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Working with Item Size to Color, create a scatterplot using Seaborn" + "# Data pre-processing\n", + "\n", + "Let's encode features and labels to better plot the data and train the model" ] }, { @@ -127,179 +398,780 @@ "metadata": {}, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ - "" + "array(['med', 'lge', 'sml', 'xlge', 'med-lge', 'jbo', 'exjbo'],\n", + " dtype=object)" ] }, + "execution_count": 4, "metadata": {}, - "execution_count": 4 - }, + "output_type": "execute_result" + } + ], + "source": [ + "# Let's look at the different values of the 'Item Size' column\n", + "pumpkins['Item Size'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import OrdinalEncoder\n", + "# Encode the 'Item Size' column using ordinal encoding\n", + "item_size_categories = [['sml', 'med', 'med-lge', 'lge', 'xlge', 'jbo', 'exjbo']]\n", + "ordinal_features = ['Item Size']\n", + "ordinal_encoder = OrdinalEncoder(categories=item_size_categories)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import OneHotEncoder\n", + "# Encode all the other features using one-hot encoding\n", + "categorical_features = ['City Name', 'Package', 'Variety', 'Origin']\n", + "categorical_encoder = OneHotEncoder(sparse_output=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ { - "output_type": "display_data", "data": { - "text/plain": "
", - "image/svg+xml": "\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", - "image/png": 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" + ], + "text/plain": [ + " ord__Item Size cat__City Name_ATLANTA cat__City Name_BALTIMORE \\\n", + "2 1.0 0.0 1.0 \n", + "3 1.0 0.0 1.0 \n", + "4 3.0 0.0 1.0 \n", + "5 3.0 0.0 1.0 \n", + "6 1.0 0.0 1.0 \n", + "\n", + " cat__City Name_BOSTON cat__City Name_CHICAGO cat__City Name_COLUMBIA \\\n", + "2 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 \n", + "\n", + " cat__City Name_DALLAS cat__City Name_DETROIT cat__City Name_LOS ANGELES \\\n", + "2 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 \n", + "\n", + " cat__City Name_MIAMI ... cat__Origin_NEW JERSEY cat__Origin_NEW YORK \\\n", + "2 0.0 ... 0.0 0.0 \n", + "3 0.0 ... 0.0 0.0 \n", + "4 0.0 ... 0.0 0.0 \n", + "5 0.0 ... 0.0 0.0 \n", + "6 0.0 ... 0.0 0.0 \n", + "\n", + " cat__Origin_NORTH CAROLINA cat__Origin_OHIO cat__Origin_PENNSYLVANIA \\\n", + "2 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 \n", + "\n", + " cat__Origin_TENNESSEE cat__Origin_TEXAS cat__Origin_VERMONT \\\n", + "2 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 \n", + "\n", + " cat__Origin_VIRGINIA Color \n", + "2 0.0 0 \n", + "3 1.0 0 \n", + "4 0.0 0 \n", + "5 0.0 0 \n", + "6 0.0 0 \n", + "\n", + "[5 rows x 49 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.preprocessing import LabelEncoder\n", + "# Encode the 'Color' column using label encoding\n", + "label_encoder = LabelEncoder()\n", + "encoded_label = label_encoder.fit_transform(pumpkins['Color'])\n", + "encoded_pumpkins = encoded_features.assign(Color=encoded_label)\n", + "encoded_pumpkins.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['ORANGE', 'WHITE']" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Let's look at the mapping between the encoded values and the original values\n", + "list(label_encoder.inverse_transform([0, 1]))" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Analysing relationships between features and label" + ] + }, + { + "cell_type": "code", + "execution_count": 19, "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ - "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 80.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 37.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n" + "/home/vscode/.local/lib/python3.11/site-packages/seaborn/axisgrid.py:118: UserWarning: Tight layout not applied. tight_layout cannot make axes height small enough to accommodate all axes decorations.\n", + " self._figure.tight_layout(*args, **kwargs)\n" ] }, { - "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, + "execution_count": 19, "metadata": {}, - "execution_count": 5 + "output_type": "execute_result" }, { - "output_type": "display_data", "data": { - "text/plain": "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", - "image/png": 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\n" 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", 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" + ] }, - "metadata": { - "needs_background": "light" - } + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "sns.swarmplot(x=\"Color\", y=\"Item Size\", data=new_pumpkins)" + "palette = {\n", + " 'ORANGE': 'orange',\n", + " 'WHITE': 'wheat',\n", + "}\n", + "# We need the encoded Item Size column to use it as the x-axis values in the plot\n", + "pumpkins['Item Size'] = encoded_pumpkins['ord__Item Size']\n", + "\n", + "g = sns.catplot(\n", + " data=pumpkins,\n", + " x=\"Item Size\", y=\"Color\", row='Variety',\n", + " kind=\"box\", orient=\"h\",\n", + " sharex=False, margin_titles=True,\n", + " height=1.5, aspect=4, palette=palette,\n", + ")\n", + "# Defining axis labels \n", + "g.set(xlabel=\"Item Size\", ylabel=\"\").set(xlim=(0,6))\n", + "g.set_titles(row_template=\"{row_name}\")\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's now focus on a specific relationship: Item Size and Color!" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 27, "metadata": {}, "outputs": [ { - "output_type": "execute_result", + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_728/133969970.py:5: FutureWarning: Passing `palette` without assigning `hue` is deprecated.\n", + " sns.swarmplot(x=\"Color\", y=\"ord__Item Size\", data=encoded_pumpkins, palette=palette)\n", + "/home/vscode/.local/lib/python3.11/site-packages/seaborn/categorical.py:3544: UserWarning: 63.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", + " warnings.warn(msg, UserWarning)\n", + "/home/vscode/.local/lib/python3.11/site-packages/seaborn/categorical.py:3544: UserWarning: 21.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { "data": { "text/plain": [ - "" + "" ] }, + "execution_count": 27, "metadata": {}, - "execution_count": 6 + "output_type": "execute_result" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/vscode/.local/lib/python3.11/site-packages/seaborn/categorical.py:3544: UserWarning: 79.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", + " warnings.warn(msg, UserWarning)\n", + "/home/vscode/.local/lib/python3.11/site-packages/seaborn/categorical.py:3544: UserWarning: 35.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", + " warnings.warn(msg, UserWarning)\n" + ] }, { - "output_type": "display_data", "data": { - "text/plain": "
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\n" 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" + ] }, - "metadata": { - "needs_background": "light" - } + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "sns.catplot(x=\"Color\", y=\"Item Size\",\n", - " kind=\"violin\", data=new_pumpkins)" + "palette = {\n", + " '0': 'orange',\n", + " '1': 'wheat'\n", + "}\n", + "sns.swarmplot(x=\"Color\", y=\"ord__Item Size\", data=encoded_pumpkins, palette=palette)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Build your model" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", + "# X is the encoded features\n", + "X = encoded_pumpkins[encoded_pumpkins.columns.difference(['Color'])]\n", + "# y is the encoded label\n", + "y = encoded_pumpkins['Color']\n", "\n", - "Selected_features = ['Origin','Item Size','Variety','City Name','Package']\n", - "\n", - "X = new_pumpkins[Selected_features]\n", - "y = new_pumpkins['Color']\n", - "\n", - "\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n" + "# Split the data into training and test sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 29, "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", - " 0 0.83 0.98 0.90 166\n", - " 1 0.00 0.00 0.00 33\n", + " 0 0.94 0.98 0.96 166\n", + " 1 0.85 0.67 0.75 33\n", "\n", - " accuracy 0.81 199\n", - " macro avg 0.42 0.49 0.45 199\n", - "weighted avg 0.69 0.81 0.75 199\n", + " accuracy 0.92 199\n", + " macro avg 0.89 0.82 0.85 199\n", + "weighted avg 0.92 0.92 0.92 199\n", "\n", - "Predicted labels: [0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\n", - " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", - " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", - " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\n", - " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", - " 0 0 0 0 0 1 0 0 0 0 0 0 0 0]\n", - "Accuracy: 0.8140703517587939\n", - "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n", - " FutureWarning)\n" + "Predicted labels: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0\n", + " 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", + " 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0\n", + " 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\n", + " 0 0 0 1 0 0 0 0 0 0 0 0 1 1]\n", + "F1-score: 0.7457627118644068\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Bad pipe message: %s [b'', b'\\x9ay^79\\x00\\x85\\xd91\\x8bc|\\xa9+\\x16\\xac\\x00\\x00\\xa2\\xc0\\x14\\xc0\\n\\x009\\x008\\x007']\n", + "Bad pipe message: %s [b'\\x9a\\xefDv\\xf1\\x02\\xdf\\x0b{|\\x7f^\\xe8\\xee\\xd4\\x8f8\\x9c\\x00\\x00>\\xc0\\x14\\xc0\\n\\x009\\x008\\x007\\x006\\xc0\\x0f\\xc0\\x05\\x005\\xc0\\x13\\xc0\\t\\x003\\x002\\x001\\x000\\xc0\\x0e\\xc0\\x04\\x00/\\x00\\x9a\\x00\\x99\\x00\\x98\\x00\\x97\\x00\\x96\\x00\\x07\\xc0\\x11\\xc0\\x07\\xc0\\x0c\\xc0\\x02\\x00\\x05\\x00\\x04\\x00\\xff\\x02\\x01\\x00\\x00C\\x00\\x00\\x00\\x0e\\x00\\x0c\\x00\\x00\\t127.0.0.1\\x00\\x0b\\x00\\x04\\x03\\x00\\x01\\x02\\x00\\n\\x00\\x1c\\x00\\x1a\\x00']\n", + "Bad pipe message: %s [b'\\x19\\x00\\x1c\\x00\\x1b\\x00\\x18\\x00\\x1a\\x00\\x16\\x00\\x0e\\x00\\r\\x00\\x0b\\x00\\x0c\\x00\\t\\x00']\n", + "Bad pipe message: %s [b'\\x13\\xfe\\x83*\\x04\\xd3\\xb3\\x9f\\xebz\\xe7\\x17\\xbe\\x19?\\xcdd\\x96\\x00\\x00\\xa2\\xc0\\x14\\xc0\\n\\x009\\x008\\x007\\x006\\x00\\x88\\x00\\x87\\x00\\x86\\x00\\x85\\xc0\\x19\\x00:\\x00\\x89\\xc0\\x0f\\xc0\\x05\\x005\\x00\\x84\\xc0\\x13\\xc0\\t\\x003\\x002\\x001\\x000\\x00\\x9a\\x00\\x99\\x00\\x98\\x00\\x97\\x00E\\x00D\\x00C\\x00B\\xc0\\x18\\x004\\x00\\x9b\\x00F\\xc0\\x0e\\xc0\\x04\\x00/\\x00\\x96\\x00A\\x00\\x07\\xc0\\x11\\xc0\\x07\\xc0\\x16\\x00\\x18\\xc0\\x0c\\xc0\\x02\\x00\\x05\\x00\\x04\\xc0\\x12\\xc0\\x08\\x00\\x16\\x00\\x13\\x00\\x10\\x00\\r\\xc0\\x17\\x00\\x1b\\xc0\\r\\xc0\\x03\\x00\\n\\x00\\x15\\x00\\x12\\x00\\x0f\\x00\\x0c\\x00\\x1a\\x00\\t\\x00\\x14\\x00\\x11\\x00\\x19\\x00\\x08\\x00\\x06\\x00\\x17\\x00\\x03\\xc0\\x10\\xc0\\x06\\xc0\\x15\\xc0\\x0b\\xc0\\x01\\x00\\x02\\x00\\x01\\x00\\xff\\x02\\x01\\x00']\n", + "Bad pipe message: %s [b'#\\x00\\x00\\x00\\x0f\\x00\\x01\\x01\\x15']\n", + "Bad pipe message: %s [b\">\\xd1\\xb9\\x90\\xf8\\xdc\\x19\\x1b\\x01\\xec\\\\+\\xe4*\\xaf\\xd0\\x0e:\\x00\\x00\\xf4\\xc00\\xc0,\\xc0(\\xc0$\\xc0\\x14\\xc0\\n\\x00\\xa5\\x00\\xa3\\x00\\xa1\\x00\\x9f\\x00k\\x00j\\x00i\\x00h\\x009\\x008\\x007\\x006\\x00\\x88\\x00\\x87\\x00\\x86\\x00\\x85\\xc0\\x19\\x00\\xa7\\x00m\\x00:\\x00\\x89\\xc02\\xc0.\\xc0*\\xc0&\\xc0\\x0f\\xc0\\x05\\x00\\x9d\\x00=\\x005\\x00\\x84\\xc0/\\xc0+\\xc0'\\xc0#\\xc0\\x13\\xc0\\t\\x00\\xa4\\x00\\xa2\\x00\\xa0\\x00\\x9e\\x00g\\x00@\\x00?\\x00>\\x003\\x002\\x001\\x000\\x00\\x9a\\x00\\x99\\x00\\x98\\x00\\x97\\x00E\\x00D\\x00C\\x00B\", b'\\x00\\xa6\\x00l\\x004\\x00\\x9b\\x00F\\xc01\\xc0-\\xc0)\\xc0%\\xc0\\x0e\\xc0\\x04\\x00\\x9c\\x00<\\x00/\\x00\\x96\\x00A\\x00\\x07\\xc0\\x11\\xc0\\x07\\xc0\\x16\\x00\\x18\\xc0\\x0c\\xc0\\x02\\x00\\x05\\x00\\x04\\xc0\\x12\\xc0\\x08\\x00\\x16\\x00\\x13\\x00\\x10\\x00\\r\\xc0\\x17\\x00\\x1b\\xc0\\r\\xc0\\x03\\x00\\n\\x00\\x15\\x00\\x12\\x00\\x0f\\x00\\x0c\\x00\\x1a\\x00\\t\\x00\\x14\\x00\\x11\\x00\\x19\\x00\\x08\\x00\\x06\\x00\\x17\\x00\\x03\\xc0\\x10\\xc0\\x06\\xc0\\x15\\xc0\\x0b\\xc0\\x01\\x00;\\x00\\x02\\x00\\x01\\x00\\xff\\x02\\x01\\x00\\x00g\\x00\\x00\\x00\\x0e\\x00\\x0c\\x00\\x00\\t127.0.0.1\\x00\\x0b\\x00\\x04\\x03\\x00\\x01\\x02\\x00\\n\\x00\\x1c\\x00\\x1a\\x00\\x17\\x00\\x19\\x00\\x1c\\x00\\x1b\\x00\\x18\\x00\\x1a\\x00\\x16\\x00\\x0e\\x00\\r\\x00\\x0b\\x00\\x0c\\x00\\t\\x00\\n\\x00#\\x00\\x00\\x00\\r\\x00 \\x00\\x1e\\x06\\x01']\n", + "Bad pipe message: %s [b\"\\xe0r\\xd1\\x9e\\xc7J'j\\xa5&0\\xcd\\xe6\\r\\xff\\xdf\\x06\\t\\x00\\x00\\xa2\\xc0\\x14\\xc0\\n\\x009\\x008\\x007\\x006\\x00\\x88\\x00\\x87\\x00\\x86\\x00\\x85\\xc0\\x19\\x00:\\x00\\x89\\xc0\\x0f\\xc0\\x05\\x005\\x00\\x84\\xc0\\x13\\xc0\\t\\x003\\x002\\x001\\x000\\x00\\x9a\\x00\\x99\\x00\\x98\\x00\\x97\\x00E\\x00D\\x00C\\x00B\\xc0\\x18\\x004\\x00\\x9b\\x00F\\xc0\\x0e\\xc0\\x04\\x00/\\x00\\x96\\x00A\\x00\\x07\\xc0\\x11\\xc0\\x07\\xc0\\x16\\x00\\x18\\xc0\\x0c\\xc0\\x02\\x00\\x05\\x00\\x04\\xc0\\x12\\xc0\\x08\\x00\\x16\\x00\\x13\\x00\\x10\\x00\\r\\xc0\\x17\\x00\\x1b\\xc0\\r\\xc0\\x03\\x00\\n\\x00\\x15\\x00\\x12\\x00\\x0f\\x00\\x0c\\x00\\x1a\\x00\\t\\x00\\x14\\x00\\x11\\x00\\x19\\x00\\x08\\x00\\x06\\x00\\x17\\x00\\x03\\xc0\"]\n", + "Bad pipe message: %s [b'\\x8c\\xaf\\x10\\x0c\\xb4\\xd1\\xc3l\\x8c\\xf9\\x85\\xf9\\x16\\x12\\x12']\n", + "Bad pipe message: %s [b'\\x06\\x03\\x05\\x01\\x05']\n", + "Bad pipe message: %s [b'\\x06\\xc0\\x15\\xc0\\x0b\\xc0\\x01\\x00\\x02\\x00\\x01\\x00\\xff\\x02\\x01']\n", + "Bad pipe message: %s [b'\\x03', b'\\x04\\x02\\x04', b'\\x01\\x03', b'\\x03', b'\\x02', b'\\x03']\n" ] } ], "source": [ - "from sklearn.model_selection import train_test_split\n", - "from sklearn.metrics import accuracy_score, classification_report \n", + "from sklearn.metrics import f1_score, classification_report \n", "from sklearn.linear_model import LogisticRegression\n", + "\n", + "# Train a logistic regression model on the pumpkin dataset\n", "model = LogisticRegression()\n", "model.fit(X_train, y_train)\n", "predictions = model.predict(X_test)\n", "\n", + "# Evaluate the model and print the results\n", "print(classification_report(y_test, predictions))\n", "print('Predicted labels: ', predictions)\n", - "print('Accuracy: ', accuracy_score(y_test, predictions))\n" + "print('F1-score: ', f1_score(y_test, predictions))" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 24, "metadata": {}, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "array([[162, 4],\n", - " [ 33, 0]])" + " [ 11, 22]])" ] }, + "execution_count": 24, "metadata": {}, - "execution_count": 9 + "output_type": "execute_result" } ], "source": [ @@ -309,76 +1181,67 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 25, "metadata": {}, "outputs": [ { - "output_type": "stream", - "name": "stderr", - "text": [ - "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n FutureWarning\n/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n FutureWarning\n" - ] - }, - { - "output_type": "execute_result", "data": { + "image/png": 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", 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\n" - }, - "metadata": { - "needs_background": "light" - } + "output_type": "display_data" } ], "source": [ "from sklearn.metrics import roc_curve, roc_auc_score\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", "\n", "y_scores = model.predict_proba(X_test)\n", "# calculate ROC curve\n", "fpr, tpr, thresholds = roc_curve(y_test, y_scores[:,1])\n", - "sns.lineplot([0, 1], [0, 1])\n", - "sns.lineplot(fpr, tpr)" + "\n", + "# plot ROC curve\n", + "fig = plt.figure(figsize=(6, 6))\n", + "# Plot the diagonal 50% line\n", + "plt.plot([0, 1], [0, 1], 'k--')\n", + "# Plot the FPR and TPR achieved by our model\n", + "plt.plot(fpr, tpr)\n", + "plt.xlabel('False Positive Rate')\n", + "plt.ylabel('True Positive Rate')\n", + "plt.title('ROC Curve')\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 26, "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ - "0.6997079225994889\n" + "0.9749908725812341\n" ] } ], "source": [ + "# Calculate AUC score\n", "auc = roc_auc_score(y_test,y_scores[:,1])\n", "print(auc)" ] } ], "metadata": { - "environment": { - "name": "tf2-gpu.2-4.m65", - "type": "gcloud", - "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-4:m65" - }, "kernelspec": { - "name": "python37364bit8d3b438fb5fc4430a93ac2cb74d693a7", - "display_name": "Python 3.7.0 64-bit ('3.7')" + "display_name": "Python 3", + "language": "python", + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -390,14 +1253,20 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.8.16" }, "metadata": { "interpreter": { "hash": "70b38d7a306a849643e446cd70466270a13445e5987dfa1344ef2b127438fa4d" } + }, + "orig_nbformat": 2, + "vscode": { + "interpreter": { + "hash": "949777d72b0d2535278d3dc13498b2535136f6dfe0678499012e853ee9abcab1" + } } }, "nbformat": 4, - "nbformat_minor": 4 -} \ No newline at end of file + "nbformat_minor": 2 +}