{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "In this blog post, we'll have a look at the [Kaggle What's Cooking data challenge](https://www.kaggle.com/c/whats-cooking).\n", "\n", "This competition is all about predicting which country a recipe is from, given a list of its ingredient. For example, assume you have a recipe that reads:\n", "\n", "> plain flour, ground pepper, salt, tomatoes, ground black pepper, thyme, eggs, green tomatoes, yellow corn meal, milk, vegetable oil\n", "\n", "Can you guess from which cuisine this is? As this recipe comes from the training set of this challenge, I can tell you that the expected answer is Southern US.\n", "\n", "Without further ado, let's dive in. First, let us have a look at the training data." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Exploring the training data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll use `pandas` to go through the data. First, let's read the json file containing the recipes and the cuisines:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "df_train = pd.read_json('train.json')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at the head of the data:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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cuisineidingredients
0greek10259[romaine lettuce, black olives, grape tomatoes...
1southern_us25693[plain flour, ground pepper, salt, tomatoes, g...
2filipino20130[eggs, pepper, salt, mayonaise, cooking oil, g...
3indian22213[water, vegetable oil, wheat, salt]
4indian13162[black pepper, shallots, cornflour, cayenne pe...
\n", "
" ], "text/plain": [ " cuisine id ingredients\n", "0 greek 10259 [romaine lettuce, black olives, grape tomatoes...\n", "1 southern_us 25693 [plain flour, ground pepper, salt, tomatoes, g...\n", "2 filipino 20130 [eggs, pepper, salt, mayonaise, cooking oil, g...\n", "3 indian 22213 [water, vegetable oil, wheat, salt]\n", "4 indian 13162 [black pepper, shallots, cornflour, cayenne pe..." ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see the structure of the data: a cuisine, an id for the recipe, and the ingredients.\n", "\n", "As a first step, let's look at the cuisines in the dataset. How many and how much of these do we have?" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "plt.style.use('ggplot')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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wIpL0hRDCi0jSF0IILyJJXwghvIgkfSGE8CKS9IUQwotI0hdCCC8iSV8IIbyIJH0hhPAi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\nh6vH+tSMb58zZ06TV66uDFP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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_train['cuisine'].value_counts().plot(kind='bar')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "As can be seen in this figure, there are a lot of Italian, Mexican and Southern US recipes, a little less of the other recipes." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To get a little insight in the data itself, we can look at a couple of recipes. In particular, we can count the most frequent ingredients for each cuisine. To do that, we can use the Python counter objects (found in the `collections` module from the standard library)." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from collections import Counter" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "counters = {}\n", "for cuisine in df_train['cuisine'].unique():\n", " counters[cuisine] = Counter()\n", " indices = (df_train['cuisine'] == cuisine)\n", " for ingredients in df_train[indices]['ingredients']:\n", " counters[cuisine].update(ingredients)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at a result:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[('salt', 3454),\n", " ('olive oil', 3111),\n", " ('garlic cloves', 1619),\n", " ('grated parmesan cheese', 1580),\n", " ('garlic', 1471),\n", " ('ground black pepper', 1444),\n", " ('extra-virgin olive oil', 1362),\n", " ('onions', 1240),\n", " ('water', 1052),\n", " ('butter', 1030)]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "counters['italian'].most_common(10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can easily convert the top 10 ingredients for each cuisine to a separate dataframe for nicer viewing:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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top1top2top3top4top5top6top7top8top9top10
jamaicansaltonionswatergarlicground allspicepepperscallionsdried thymeblack peppergarlic cloves
moroccansaltolive oilground cuminonionsground cinnamongarlic cloveswaterground gingercarrotspaprika
irishsaltall-purpose flourbutteronionspotatoessugarbaking sodabaking powdermilkcarrots
russiansaltsugaronionsall-purpose floursour creameggswaterbutterunsalted butterlarge eggs
greeksaltolive oildried oreganogarlic clovesfeta cheese crumblesextra-virgin olive oilfresh lemon juiceground black peppergarlicpepper
frenchsaltsugarall-purpose flourunsalted butterolive oilbutterwaterlarge eggsgarlic clovesground black pepper
italiansaltolive oilgarlic clovesgrated parmesan cheesegarlicground black pepperextra-virgin olive oilonionswaterbutter
koreansoy saucesesame oilgarlicgreen onionssugarsaltwatersesame seedsonionsscallions
thaifish saucegarlicsaltcoconut milkvegetable oilsoy saucesugarwatergarlic clovesfresh lime juice
vietnamesefish saucesugarsaltgarlicwatercarrotssoy sauceshallotsgarlic clovesvegetable oil
southern_ussaltbutterall-purpose floursugarlarge eggsbaking powderwaterunsalted buttermilkbuttermilk
cajun_creolesaltonionsgarlicgreen bell pepperbutterolive oilcayenne peppercajun seasoningall-purpose flourwater
indiansaltonionsgaram masalawaterground turmericgarliccumin seedground cuminvegetable oiloil
britishsaltall-purpose flourbuttermilkeggsunsalted buttersugaronionsbaking powderlarge eggs
mexicansaltonionsground cumingarlicolive oilchili powderjalapeno chiliessour creamavocadocorn tortillas
braziliansaltonionsolive oillimewatergarlic clovesgarliccachacasugartomatoes
spanishsaltolive oilgarlic clovesextra-virgin olive oilonionswatertomatoesground black pepperred bell pepperpepper
filipinosaltgarlicwateronionssoy saucepepperoilsugarcarrotsground black pepper
chinesesoy saucesesame oilsaltcorn starchsugargarlicwatergreen onionsvegetable oilscallions
japanesesoy saucesaltmirinsugarwatersakerice vinegarvegetable oilscallionsginger
\n", "
" ], "text/plain": [ " top1 top2 top3 \\\n", "jamaican salt onions water \n", "moroccan salt olive oil ground cumin \n", "irish salt all-purpose flour butter \n", "russian salt sugar onions \n", "greek salt olive oil dried oregano \n", "french salt sugar all-purpose flour \n", "italian salt olive oil garlic cloves \n", "korean soy sauce sesame oil garlic \n", "thai fish sauce garlic salt \n", "vietnamese fish sauce sugar salt \n", "southern_us salt butter all-purpose flour \n", "cajun_creole salt onions garlic \n", "indian salt onions garam masala \n", "british salt all-purpose flour butter \n", "mexican salt onions ground cumin \n", "brazilian salt onions olive oil \n", "spanish salt olive oil garlic cloves \n", "filipino salt garlic water \n", "chinese soy sauce sesame oil salt \n", "japanese soy sauce salt mirin \n", "\n", " top4 top5 \\\n", "jamaican garlic ground allspice \n", "moroccan onions ground cinnamon \n", "irish onions potatoes \n", "russian all-purpose flour sour cream \n", "greek garlic cloves feta cheese crumbles \n", "french unsalted butter olive oil \n", "italian grated parmesan cheese garlic \n", "korean green onions sugar \n", "thai coconut milk vegetable oil \n", "vietnamese garlic water \n", "southern_us sugar large eggs \n", "cajun_creole green bell pepper butter \n", "indian water ground turmeric \n", "british milk eggs \n", "mexican garlic olive oil \n", "brazilian lime water \n", "spanish extra-virgin olive oil onions \n", "filipino onions soy sauce \n", "chinese corn starch sugar \n", "japanese sugar water \n", "\n", " top6 top7 \\\n", "jamaican pepper scallions \n", "moroccan garlic cloves water \n", "irish sugar baking soda \n", "russian eggs water \n", "greek extra-virgin olive oil fresh lemon juice \n", "french butter water \n", "italian ground black pepper extra-virgin olive oil \n", "korean salt water \n", "thai soy sauce sugar \n", "vietnamese carrots soy sauce \n", "southern_us baking powder water \n", "cajun_creole olive oil cayenne pepper \n", "indian garlic cumin seed \n", "british unsalted butter sugar \n", "mexican chili powder jalapeno chilies \n", "brazilian garlic cloves garlic \n", "spanish water tomatoes \n", "filipino pepper oil \n", "chinese garlic water \n", "japanese sake rice vinegar \n", "\n", " top8 top9 top10 \n", "jamaican dried thyme black pepper garlic cloves \n", "moroccan ground ginger carrots paprika \n", "irish baking powder milk carrots \n", "russian butter unsalted butter large eggs \n", "greek ground black pepper garlic pepper \n", "french large eggs garlic cloves ground black pepper \n", "italian onions water butter \n", "korean sesame seeds onions scallions \n", "thai water garlic cloves fresh lime juice \n", "vietnamese shallots garlic cloves vegetable oil \n", "southern_us unsalted butter milk buttermilk \n", "cajun_creole cajun seasoning all-purpose flour water \n", "indian ground cumin vegetable oil oil \n", "british onions baking powder large eggs \n", "mexican sour cream avocado corn tortillas \n", "brazilian cachaca sugar tomatoes \n", "spanish ground black pepper red bell pepper pepper \n", "filipino sugar carrots ground black pepper \n", "chinese green onions vegetable oil scallions \n", "japanese vegetable oil scallions ginger " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "top10 = pd.DataFrame([[items[0] for items in counters[cuisine].most_common(10)] for cuisine in counters],\n", " index=[cuisine for cuisine in counters],\n", " columns=['top{}'.format(i) for i in range(1, 11)])\n", "top10" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "An even better visualisation would be to have images instead of words for this visualization. We can do this by exporting the previous table to html and replacing the ingredient names with HTML image tags for the selected ingredients. This is done using regular expression matching, while the image is base64 encoded in the source ([thanks](http://stackoverflow.com/questions/606191/convert-bytes-to-a-python-string))." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import re\n", "import base64" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pdb" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def repl(m):\n", " ingredient = m.groups()[0]\n", " image_path = 'img/' + ingredient + '.png'\n", " with open(image_path, \"rb\") as image_file:\n", " encoded_string = base64.b64encode(image_file.read())\n", " return ''.format(encoded_string.decode('utf-8'))\n", "\n", "table_with_images = re.sub(\"([ \\-\\w]+)\", repl, top10.to_html())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can easily display this HTML output in our notebook:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from IPython.display import HTML" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
top1top2top3top4top5top6top7top8top9top10
jamaican
moroccan
irish
russian
greek
french
italian
korean
thai
vietnamese
southern_us
cajun_creole
indian
british
mexican
brazilian
spanish
filipino
chinese
japanese
" ], "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "HTML(table_with_images)" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "This visualization allows us to determine a couple of things. For instance we can see that the top1 ingredient for each cuisine is a salty ingredient. This salty ingredient allows us to group the cuisines already:\n", "\n", "- salt is the standard for most cuisines\n", "- soy sauce is number one for chinese, japanese and korean cuisines\n", "- fish sauce is number one for thai and vietnamese cuisines\n", "\n", "Another things that is easily seen from this table is that many ingredients have more than one name:\n", "\n", "- garlic cloves, garlic\n", "- olive oil, extra-virgin olive oil\n", "- ...\n", "\n", "Jugding from this table, it can be interesting to see which ingredients among the top10 ingredients are highly specific for a certain cuisine. A way to do this is to simply count the number of times an ingredient appears in a given cuisine and divide by the total number of recipes." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To do this, we first create a new column in our dataframe by simply concatening the ingredients to a single string:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [ "df_train['all_ingredients'] = df_train['ingredients'].map(\";\".join)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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cuisineidingredientsall_ingredients
0greek10259[romaine lettuce, black olives, grape tomatoes...romaine lettuce;black olives;grape tomatoes;ga...
1southern_us25693[plain flour, ground pepper, salt, tomatoes, g...plain flour;ground pepper;salt;tomatoes;ground...
2filipino20130[eggs, pepper, salt, mayonaise, cooking oil, g...eggs;pepper;salt;mayonaise;cooking oil;green c...
3indian22213[water, vegetable oil, wheat, salt]water;vegetable oil;wheat;salt
4indian13162[black pepper, shallots, cornflour, cayenne pe...black pepper;shallots;cornflour;cayenne pepper...
\n", "
" ], "text/plain": [ " cuisine id ingredients \\\n", "0 greek 10259 [romaine lettuce, black olives, grape tomatoes... \n", "1 southern_us 25693 [plain flour, ground pepper, salt, tomatoes, g... \n", "2 filipino 20130 [eggs, pepper, salt, mayonaise, cooking oil, g... \n", "3 indian 22213 [water, vegetable oil, wheat, salt] \n", "4 indian 13162 [black pepper, shallots, cornflour, cayenne pe... \n", "\n", " all_ingredients \n", "0 romaine lettuce;black olives;grape tomatoes;ga... \n", "1 plain flour;ground pepper;salt;tomatoes;ground... \n", "2 eggs;pepper;salt;mayonaise;cooking oil;green c... \n", "3 water;vegetable oil;wheat;salt \n", "4 black pepper;shallots;cornflour;cayenne pepper... " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now take advantage of the powerful string processing functions of pandas to check for the presence of an ingredient in a recipe:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "0 False\n", "1 False\n", "2 False\n", "3 False\n", "4 False\n", "5 False\n", "6 False\n", "7 False\n", "8 False\n", "9 False\n", "10 False\n", "11 False\n", "12 True\n", "13 False\n", "14 False\n", "15 False\n", "16 False\n", "17 False\n", "18 False\n", "19 False\n", "20 False\n", "21 False\n", "22 False\n", "23 False\n", "24 False\n", "25 False\n", "26 False\n", "27 False\n", "28 False\n", "29 False\n", " ... \n", "39744 True\n", "39745 False\n", "39746 False\n", "39747 False\n", "39748 False\n", "39749 False\n", "39750 False\n", "39751 False\n", "39752 False\n", "39753 True\n", "39754 True\n", "39755 False\n", "39756 False\n", "39757 True\n", "39758 False\n", "39759 False\n", "39760 False\n", "39761 True\n", "39762 False\n", "39763 False\n", "39764 False\n", "39765 False\n", "39766 False\n", "39767 False\n", "39768 False\n", "39769 False\n", "39770 False\n", "39771 False\n", "39772 False\n", "39773 False\n", "Name: all_ingredients, dtype: bool" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train['all_ingredients'].str.contains('garlic cloves')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This can be used to group our recipes by the presence of that ingredient:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Mw8TGxjI+Pj6MsbExY25uznh6ejJLly7l9BqbKgnD1P1zmJ2djejoaBQUFEAikWDQoEEY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\noGnLfJNr3mnWrBmUSiXs7e1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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "indices = df_train['all_ingredients'].str.contains('garlic cloves')\n", "df_train[indices]['cuisine'].value_counts().plot(kind='bar',\n", " title='garlic cloves as found per cuisine')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "However, we have to keep in mind that there are a lot of Italian recipes in our database, so it's appropriate to divide by that number before presenting the result:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/kappamaki/anaconda/lib/python3.4/site-packages/ipykernel/__main__.py:2: FutureWarning: sort is deprecated, use sort_values(inplace=True) for for INPLACE sorting\n", " from ipykernel import kernelapp as app\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { 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VvzHAtc9TSH8yffp0p8oLQkJC0NTU5FKgnzRpEt5++22sW7cOx44dQ3x8PIYN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\nZiGWI65meG3NrQP9Dz/8gEG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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "relative_freq = (df_train[indices]['cuisine'].value_counts() / df_train['cuisine'].value_counts())\n", "relative_freq.sort(inplace=True)\n", "relative_freq.plot(kind='bar')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This way of looking at the data lets us see which countries use garlic cloves a lot in the recipes found in the database. As expected, mediterranean and asian cuisines are at the top, and british at the bottom." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can do this sort of plot for all top 10 ingredients. First let's determine the unique ingredients:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array(['all-purpose flour', 'avocado', 'baking powder', 'baking soda',\n", " 'black pepper', 'butter', 'buttermilk', 'cachaca',\n", " 'cajun seasoning', 'carrots', 'cayenne pepper', 'chili powder',\n", " 'coconut milk', 'corn starch', 'corn tortillas', 'cumin seed',\n", " 'dried oregano', 'dried thyme', 'eggs', 'extra-virgin olive oil',\n", " 'feta cheese crumbles', 'fish sauce', 'fresh lemon juice',\n", " 'fresh lime juice', 'garam masala', 'garlic', 'garlic cloves',\n", " 'ginger', 'grated parmesan cheese', 'green bell pepper',\n", " 'green onions', 'ground allspice', 'ground black pepper',\n", " 'ground cinnamon', 'ground cumin', 'ground ginger',\n", " 'ground turmeric', 'jalapeno chilies', 'large eggs', 'lime', 'milk',\n", " 'mirin', 'oil', 'olive oil', 'onions', 'paprika', 'pepper',\n", " 'potatoes', 'red bell pepper', 'rice vinegar', 'sake', 'salt',\n", " 'scallions', 'sesame oil', 'sesame seeds', 'shallots', 'sour cream',\n", " 'soy sauce', 'sugar', 'tomatoes', 'unsalted butter',\n", " 'vegetable oil', 'water'], dtype=object)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "unique = np.unique(top10.values.ravel())\n", "unique" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Turns out we can fit this in a 8 by 8 subplot diagram:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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PPd97Tp06JSZMmCDCw8OFwWAQt9xyi/S8XL1ffx/2XGfs3LlTDB48WDRp0kQY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\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B17jjlnuT2V6rP5SbqS4tlXubrnHHLfcms71WM5WbqS5tKW+tFpNUi4iIiIiIiIhIx9di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Zw+fRpLS0sqVqxIkyZNZL2YwqCdwuLneHt7s2zZMjw8PHB1daVfv35YWVnx+PFjIPv5M+ezlY2N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t3bpVnbOoqEgd/8EHH6hy0+zzS5YsMfsbnDhxgrS0NPbv389//vMfxo0bR79+/dS0Y+11BwwY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\nL3kDkjntgSfd8Zd7FUjmtFauhmSOZE5r5Y7w9+djkMxprVwNf88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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(8, 8, figsize=(20, 20))\n", "for ingredient, ax_index in zip(unique, range(64)):\n", " indices = df_train['all_ingredients'].str.contains(ingredient)\n", " relative_freq = (df_train[indices]['cuisine'].value_counts() / df_train['cuisine'].value_counts())\n", " relative_freq.plot(kind='bar', ax=axes.ravel()[ax_index], fontsize=7, title=ingredient)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The previous diagram, even if it's not very clear, allows us to spot ingredients which have a high degree of uniqueness. Among them, I'd list:\n", "\n", "- soy sauce (asian cuisine)\n", "- sake (Japanese)\n", "- sesame oil (asian cuisine)\n", "- feta cheese crumbs (Greek)\n", "- garam masala (Indian)\n", "- ground ginger (Morrocan)\n", "- avocado (Mexican)\n", "\n", "Others are quite common:\n", "\n", "- salt\n", "- oil\n", "- pepper\n", "- sugar" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This nicely concludes our data exploration. At the same time, it allows us to form a little intuition about how we could categorize a recipe's cuisine based on the ingredients:\n", "\n", "- are there highly specific ingredients in the recipe that clearly point it to a given country?\n", "\n", "In the next section, we will train a logistic regression classifier on the data we have analyzed so far and look at the results." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Training a logistic regression classifier " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will use scikit-learn to perform our classification. First, we will need to encode our features to a matrix that the machine learning algorithms in scikit learn can use. This is done using a count vectorizer:" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.feature_extraction.text import CountVectorizer" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can conveniently tell the count vectorizer which features it should accept and let him build the matrix with 1s and 0s when ingredients are present in a single step as follows:" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": true }, "outputs": [], "source": [ "cv = CountVectorizer()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [], "source": [ "X = cv.fit_transform(df_train['all_ingredients'].values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can check the shape of that matrix:" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(39774, 3010)" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see that the vectorizer has retained 3010 ingredients and processed the 40 000 recipes in the training dataset. We can easily access the features to check them using the vectorizers properties (which is a dictionary):" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['lipton', 'hand', 'branzino', 'mayonnaise', 'tip', 'gouda', 'tamarind', 'meat', 'lea', 'saltine', 'style', 'ajinomoto', 'greek', 'chuck', 'ducklings', 'korean', 'tokyo', 'tender', 'shoots', 'prik', 'bitters', 'believ', 'satsuma', 'cardamon', 'pilaf', 'roll', 'crusts', 'brisée', 'penn', 'tamale', 'boneless', 'skate', 'picante', 'raw', 'swerve', 'sponge', 'filling', 'choi', 'sharp', 'cranberry', 'salt', 'manicotti', 'atar', 'quorn', 'ale', 'pound', 'nectar', 'iron', 'licorice', 'daiya', 'mince', 'chiffonade', 'japanese', 'yuzu', 'fleshed', 'picholine', 'ragu', 'buds', 'loosely', 'peppermint', 'cashews', 'yaki', 'stir', 'nam', 'blackberries', 'heirloom', 'terrine', 'crumbles', 'bonnet', 'clam', 'katsuo', 'cauliflowerets', 'crust', 'callaloo', 'doughs', 'wraps', 'pimentos', 'shaved', 'oregano', 'tomatillo', 'lump', 'cups', 'marin', 'olives', 'nectarines', 'greekstyl', 'bottom', 'fresca', 'cardoons', 'dijonnaise', 'delicata', 'lite', 'accompaniment', 'sprouts', 'flora', 'sansho', 'groundnut', 'seitan', 'tapioca', 'short']\n" ] } ], "source": [ "print(list(cv.vocabulary_.keys())[:100])" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "Each feature gets assigned a column number, which is assigned a 1 or a 0 depending on the presence or not of the ingredient." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have our feature matrix, we still need to encode the labels that represent the cuisine of each recipe. This is done with a label encoder:" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.preprocessing import LabelEncoder" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": true }, "outputs": [], "source": [ "enc = LabelEncoder()\n", "y = enc.fit_transform(df_train.cuisine)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The variable `y` is now a vector with number instead of strings for each cuisine:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 6, 16, 4, 7, 7, 10, 17, 9, 13, 9, 9, 3, 9, 13, 9, 7, 1,\n", " 9, 18, 19, 18, 13, 16, 3, 9, 3, 2, 9, 3, 13, 9, 2, 13, 18,\n", " 9, 2, 9, 4, 16, 16, 9, 0, 13, 7, 13, 3, 5, 16, 16, 16, 11,\n", " 16, 9, 16, 9, 10, 11, 7, 9, 8, 18, 18, 7, 10, 9, 18, 12, 5,\n", " 5, 16, 17, 7, 14, 9, 9, 14, 14, 19, 11, 13, 2, 16, 5, 7, 7,\n", " 9, 9, 7, 12, 17, 9, 16, 16, 6, 13, 13, 16, 7, 9, 9])" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y[:100]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can check the result by inspecting the encoders classes:" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array(['brazilian', 'british', 'cajun_creole', 'chinese', 'filipino',\n", " 'french', 'greek', 'indian', 'irish', 'italian', 'jamaican',\n", " 'japanese', 'korean', 'mexican', 'moroccan', 'russian',\n", " 'southern_us', 'spanish', 'thai', 'vietnamese'], dtype=object)" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "enc.classes_" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's now train a logistic regression on the dataset. We'll split the dataset so that we can also test our classifier on data that he hasn't seen before:" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.cross_validation import train_test_split" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": true }, "outputs": [], "source": [ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's train a logistic regression:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.linear_model import LogisticRegression" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n", " intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n", " penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n", " verbose=0, warm_start=False)" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "logistic = LogisticRegression()\n", "logistic.fit(X_train, y_train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can evaluate our classifier on our test set:" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "0.77737272155876802" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "logistic.score(X_test, y_test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It turns out it performs quite nicely, with a 78% accuracy.\n", "\n", "However, this doesn't tell the whole story about what's happening. Let's inspect the classification results using a confusion matrix." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Inspecting the classification results using a confusion matrix " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A confusion matrix allows us to see the confusion the classifier makes. It should be read column by column. In each column, one sees the recipes the classifier considered to be one cuisine. Looking at the color in each square one can see the relative accuracy of that classification." ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/kappamaki/anaconda/lib/python3.4/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " if self._edgecolors == str('face'):\n" ] }, { "data": { "image/png": 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TfzZ6YlkfGeYAHDCKDv1rK1zfhwAJhvHpWNZWw5xDhvF216WtQWxfLOsDGzXy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ExMRHl5OQYPHsxrtY8nnT17FkOGDBGsveclRMlFALh79y4yMjIgEong4uLCS95Of39/fPbZZ7wl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\nHVAoFMjIy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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.metrics import confusion_matrix\n", "\n", "plt.figure(figsize=(10, 10))\n", "\n", "cm = confusion_matrix(y_test, logistic.predict(X_test))\n", "cm_normalized = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n", "\n", "plt.imshow(cm_normalized, interpolation='nearest')\n", "plt.title(\"confusion matrix\")\n", "plt.colorbar(shrink=0.3)\n", "cuisines = df_train['cuisine'].value_counts().index\n", "tick_marks = np.arange(len(cuisines))\n", "plt.xticks(tick_marks, cuisines, rotation=90)\n", "plt.yticks(tick_marks, cuisines)\n", "plt.tight_layout()\n", "plt.ylabel('True label')\n", "plt.xlabel('Predicted label')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, we see that some cuisines are really well predicted (Moroccan, Thai, Indian) while some suffer from confusion (Greek is often predicted as other cuisines, same with irish).\n", "\n", "Another way to look at the results is the classification report from scikit-learn:" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from sklearn.metrics import classification_report" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " italian 0.78 0.47 0.58 96\n", " mexican 0.58 0.41 0.48 165\n", " southern_us 0.80 0.66 0.73 289\n", " indian 0.78 0.85 0.82 542\n", " chinese 0.70 0.54 0.61 140\n", " french 0.62 0.63 0.63 555\n", "cajun_creole 0.78 0.70 0.74 228\n", " thai 0.85 0.90 0.87 596\n", " japanese 0.69 0.47 0.56 123\n", " greek 0.80 0.89 0.84 1587\n", " spanish 0.84 0.73 0.78 97\n", " korean 0.81 0.72 0.76 289\n", " vietnamese 0.81 0.76 0.78 191\n", " moroccan 0.89 0.91 0.90 1262\n", " british 0.80 0.72 0.76 157\n", " filipino 0.57 0.40 0.47 100\n", " irish 0.69 0.81 0.74 860\n", " jamaican 0.67 0.50 0.57 195\n", " russian 0.74 0.72 0.73 321\n", " brazilian 0.69 0.48 0.57 162\n", "\n", " avg / total 0.77 0.78 0.77 7955\n", "\n" ] } ], "source": [ "y_pred = logistic.predict(X_test)\n", "print(classification_report(y_test, y_pred, target_names=cuisines))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This allows use to see the different precision measurements (accuracy, recall, f1 score) all in a single place.\n", "\n", "From the previous analyses, we can come up with a number of ways of how to improve aspects of our machine learning and reach better classification results." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Conclusions " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this post, we've gone through different stages of machine learning: we first explored the data in depth that came with the challenge and then went on to train a model, whose results we tried to analyze. It's not clear from the results what we can easily improve in our classification, but it gives us quite a lot of information to analyze." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.4.3" } }, "nbformat": 4, "nbformat_minor": 0 }