{"cells":[{"metadata":{"_uuid":"a6717103051c3f8b781161d917a4fe7352be60e4"},"cell_type":"markdown","source":"# Histopathologic Cancer Detection\n\n![](https://forums.fast.ai/uploads/default/original/2X/b/b97e0e49affeee3a85118192204d011c0379c7d1.jpeg)\n\n[image-source](https://forums.fast.ai/uploads/default/original/2X/b/b97e0e49affeee3a85118192204d011c0379c7d1.jpeg)\n# Acknowledgements\nThis kernel contains excerpts from and was inspired by the following other kernels:\n* https://www.kaggle.com/qitvision/a-complete-ml-pipeline-fast-ai\n* https://www.kaggle.com/CVxTz/cnn-starter-nasnet-mobile-0-9709-lb\n* https://www.kaggle.com/fmarazzi/baseline-keras-cnn-roc-fast-10min-0-925-lb\n* https://www.kaggle.com/artgor/simple-eda-and-model-in-pytorch\n\n# Introduction\nThis kernel is an exemplary presentation of a simple exploratory data analysis (EDA) and a tutorial on creating your first model for this challenge. It is targeted at beginners.\n\nRunning it you will be able to \n* take a look at the data for the challenge and its features\n* train a basic convolutional neural network on all of the data (many of the other kernels only train on parts of the data)\n* create your first submission ( LB ~0.93)\n\n# Contents\n1. Useful python modules\n2. The challenge and the data\n3. Loading the data\n4. EDA\n5. Creating a simple keras model\n6. Training and validating the model\n7. Creating a submission"},{"metadata":{"_uuid":"143ed018a1cfecf3438504b2b0d1a63beb053057"},"cell_type":"markdown","source":"# 1. Modules\nWe utilize a variety of modules in this kernel. Most of these provide way more functionality than we need, but they are all handy:\n* [glob](https://docs.python.org/3/library/glob.html) for easily finding matching filenames\n* [numpy](https://www.numpy.org/) - because it is _the_ math module for most things\n* [pandas](https://pandas.pydata.org/) - a powerful module for data structures and analysis\n* [keras](https://keras.io/) - a high-level deep learning API, in our case to ease TensorFlow usage\n* [cv2](https://opencv-python-tutro****als.readthedocs.io/en/latest/py_tutorials/py_setup/py_intro/py_intro.html#intro) - for image processing (we'll just use it for loading images)\n* [tqdm](https://tqdm.github.io/) - a minimalistic yet powerful and easy to use progress bar\n* [matplotlib](https://matplotlib.org/) - a plotting module"},{"metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","trusted":true},"cell_type":"code","source":"#Load the modules\nfrom glob import glob \nimport numpy as np\nimport pandas as pd\nimport keras,cv2,os\n\nfrom keras.models import Sequential\nfrom keras.layers import Dense, Dropout, Flatten, BatchNormalization, Activation\nfrom keras.layers import Conv2D, MaxPool2D\n\nfrom tqdm import tqdm_notebook,trange\nimport matplotlib.pyplot as plt\n\nimport gc #garbage collection, we need to clean up and save memory","execution_count":1,"outputs":[{"output_type":"stream","text":"Using TensorFlow backend.\n","name":"stderr"}]},{"metadata":{"_uuid":"cc88d74857744a4a559f7457caa6b3d8dd8fe958"},"cell_type":"markdown","source":"# 2. The challenge and the data\nTechnically, the goal of this challenge is a binary classification task for images, meaning we want to divide images into two classes. Practically, microscopic images of lymph node tissue with a resolution of 96x96 pixels are provided and we should provide a probability indicating if the images show metastatic cancer tissue in the 32x32 center region of the image.\n\nAbout 220,000 labeled images are provided for training and about 57,000 make up the test set.\n\nLet's start by loading the data and having a look at some of the images."},{"metadata":{"_uuid":"077d54fd1297b6707ea5f202ec706085599225c6"},"cell_type":"markdown","source":"# 3. Loading the data\nWe'll start by creating a pandas data frame containing the path of all the files in the `train_path` folder and then read the matching labels from the provided csv file.\n\n## Load the labels and filenames"},{"metadata":{"_uuid":"d72f6d8131277d5a1452d92677bcaaae8117165b","trusted":true},"cell_type":"code","source":"#set paths to training and test data\npath = \"../input/\" #adapt this path, when running locally\ntrain_path = path + 'train/'\ntest_path = path + 'test/'\n\ndf = pd.DataFrame({'path': glob(os.path.join(train_path,'*.tif'))}) # load the filenames\ndf['id'] = df.path.map(lambda x: x.split('/')[3].split(\".\")[0]) # keep only the file names in 'id'\nlabels = pd.read_csv(path+\"train_labels.csv\") # read the provided labels\ndf = df.merge(labels, on = \"id\") # merge labels and filepaths\ndf.head(10) # print the first three entrys","execution_count":2,"outputs":[{"output_type":"execute_result","execution_count":2,"data":{"text/plain":"                                                path  ...  label\n0  ../input/train/292faf631c5ff5741bb46b04e4eacce...  ...      0\n1  ../input/train/5a61b93a34e2a37869a4e83e964169a...  ...      0\n2  ../input/train/139e7bd057aafacf7cce59490104ccf...  ...      0\n3  ../input/train/5adf6b5ce28b15f585b8d53fc8d3716...  ...      0\n4  ../input/train/abf7a7eb3e7bc917e766670eebd7f44...  ...      0\n5  ../input/train/156f6a50526bdfdfae44a804c6fabce...  ...      1\n6  ../input/train/35246d6405f080a57505e2e4d8ec0fa...  ...      0\n7  ../input/train/b2b1c081319ac56e011bfe368fb3033...  ...      1\n8  ../input/train/f2f7753410bd17f63f1fb6570e2614d...  ...      1\n9  ../input/train/3cf3e17777c2b73fe7d11f09857f32c...  ...      0\n\n[10 rows x 3 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>path</th>\n      <th>id</th>\n      <th>label</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>../input/train/292faf631c5ff5741bb46b04e4eacce...</td>\n      <td>292faf631c5ff5741bb46b04e4eacceb272d8c8b</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>../input/train/5a61b93a34e2a37869a4e83e964169a...</td>\n      <td>5a61b93a34e2a37869a4e83e964169ad3d1e3753</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>../input/train/139e7bd057aafacf7cce59490104ccf...</td>\n      <td>139e7bd057aafacf7cce59490104ccf281a3fa98</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>../input/train/5adf6b5ce28b15f585b8d53fc8d3716...</td>\n      <td>5adf6b5ce28b15f585b8d53fc8d3716182026ab4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>../input/train/abf7a7eb3e7bc917e766670eebd7f44...</td>\n      <td>abf7a7eb3e7bc917e766670eebd7f440c500ee4d</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>../input/train/156f6a50526bdfdfae44a804c6fabce...</td>\n      <td>156f6a50526bdfdfae44a804c6fabce6562482e0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>../input/train/35246d6405f080a57505e2e4d8ec0fa...</td>\n      <td>35246d6405f080a57505e2e4d8ec0fa9df33e7e3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>../input/train/b2b1c081319ac56e011bfe368fb3033...</td>\n      <td>b2b1c081319ac56e011bfe368fb30336fa1ddce1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>../input/train/f2f7753410bd17f63f1fb6570e2614d...</td>\n      <td>f2f7753410bd17f63f1fb6570e2614d6092c2754</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>../input/train/3cf3e17777c2b73fe7d11f09857f32c...</td>\n      <td>3cf3e17777c2b73fe7d11f09857f32c9a418a378</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"_uuid":"e32d37b60a88fb0c038ab2a6938bd46198e79740"},"cell_type":"markdown","source":"## Load the images\n\nNow, we will load some of the images. As [interactive kernels with GPU](https://www.kaggle.com/docs/kernels#the-kernels-environment) currently offer about 14 GB of RAM, we will take care to keep the images in the uint8 format (i.e. pixel values are integers between 0 and 255) to reduce the memory footprint. Processing of the images often requires converting them to float32, which would require additional space.\n\nWe'll declare a function to load a set number of images and then load 10000 images."},{"metadata":{"_uuid":"5087ee421fbaf96cbd18df1467cf14c34b4f7289","trusted":true},"cell_type":"code","source":"def load_data(N,df):\n    \"\"\" This functions loads N images using the data df\n    \"\"\"\n    # allocate a numpy array for the images (N, 96x96px, 3 channels, values 0 - 255)\n    X = np.zeros([N,96,96,3],dtype=np.uint8) \n    #convert the labels to a numpy array too\n    y = np.squeeze(df.as_matrix(columns=['label']))[0:N]\n    #read images one by one, tdqm notebook displays a progress bar\n    for i, row in tqdm_notebook(df.iterrows(), total=N):\n        if i == N:\n            break\n        X[i] = cv2.imread(row['path'])\n          \n    return X,y","execution_count":3,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df.shape","execution_count":4,"outputs":[{"output_type":"execute_result","execution_count":4,"data":{"text/plain":"(220025, 3)"},"metadata":{}}]},{"metadata":{"_uuid":"d2207ea4a34a42c5173b48e4ba90403fe75d6685","trusted":true},"cell_type":"code","source":"# Load 10k images\nN=10000\nX,y = load_data(N=N,df=df) ","execution_count":5,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:7: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n  import sys\n","name":"stderr"},{"output_type":"display_data","data":{"text/plain":"HBox(children=(IntProgress(value=0, max=10000), HTML(value='')))","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"3773b2b5d97144639c22c15c1a3e6990"}},"metadata":{}}]},{"metadata":{"_uuid":"50a761bd5a4be83eaf540f7602ba8e5a713d59f2"},"cell_type":"markdown","source":"# 4. Exploratory Data Analysis (EDA)\n\nThe purpose of this EDA is to \n* Take a look at the images\n* Understand the distribution of the two classes (no cancer cells / cancer cells)\n* Have a look at some image features (RGB channel distributions, mean brightness)\n\n## Let's plot some example images with their assigned label (0 - no cancer cells, 1 - cancer cells):"},{"metadata":{"_uuid":"ffed68f7b732222097006f1047744950ad085ed8","scrolled":false,"trusted":true},"cell_type":"code","source":"fig = plt.figure(figsize=(10, 4), dpi=150)\nnp.random.seed(100) #we can use the seed to get a different set of random images\nfor plotNr,idx in enumerate(np.random.randint(0,N,8)):\n    ax = fig.add_subplot(2, 8//2, plotNr+1, xticks=[], yticks=[]) #add subplots\n    plt.imshow(X[idx]) #plot image\n    ax.set_title('Label: ' + str(y[idx])) #show the label corresponding to the image","execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1500x600 with 8 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"_uuid":"7931e9a388a07450ae4a9576dd31ee72aea86ccc"},"cell_type":"markdown","source":"So, for most people (like me) there is no easy way to discern which images contain cancer cells. There is a [variety of things](https://www.nature.com/articles/nmeth.4397.pdf) one can look at to get a deeper insight into the data.\n\n## Let's starting looking at the data distribution\n\nWe'll start by looking at how often the classes are represented. "},{"metadata":{"_uuid":"9c0351062237909773100c6e87409fe270379652","trusted":true},"cell_type":"code","source":"fig = plt.figure(figsize=(4, 2),dpi=150)\nplt.bar([1,0], [(y==0).sum(), (y==1).sum()]); #plot a bar chart of the label frequency\nplt.xticks([1,0],[\"Negative (N={})\".format((y==0).sum()),\"Positive (N={})\".format((y==1).sum())]);\nplt.ylabel(\"# of samples\")","execution_count":7,"outputs":[{"output_type":"execute_result","execution_count":7,"data":{"text/plain":"Text(0, 0.5, '# of samples')"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 600x300 with 1 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xRMjYmKT6vYCbgIOkrQV6bTghqRZ2G8E/qf+V2hmZmYDbcjftLg3IuJgUpBzDymA2hS4GvhARFzUosyFpNN7V5Dmv9qedMPiPSPisBZlHsh5xwNLATuRZnz/DrB1+dYxZmZmNjTNMzfOjYjJpJ6lnvKNJwU4vdn2DaTTgr0pM4XBf7rTzMzM+qDumxaPkXS2pIckvSzpjRaP1+us18zMzKwb6rxp8QdJ989bmHQV3rPMOamlmZmZ2TylzlN7x5OCqGOBE/KElmZmZmbzrDoDqXWAv0TE0TVu08zMzGzQqnOM1DPA5Bq3Z2ZmZjao1RlIXQpskm9MbGZmZjbPqzOQOpI0yPzMZjctNjMzM5vX1Dmz+dOSNgKuBSZL+hvwGGkiyibZY5+66jYzMzPrhjqnP1gMOB94N2lizK3bZA/AgZSZmZkNaXVetXcCMBb4J/Bz4CE8j5SZmZnNw+oMpHYApgCbRsT0GrdrZmZmNijVOdh8GGkeKQdRZmZm9pZQZyB1O7BsjdszMzMzG9TqDKS+DWwm6cM1btPMzMxs0KpzjNSrwKnABEm/BK6i9fQHRMR1NdZtZmZmNuDqDKQmkqY1EPBZ4DM95PcM6GZmZjak1RlInUsKpMzMzMzeEuqc2XzPurZlZmZmNhTUOdjczMzM7C3FgZSZmZlZRXWOkQJA0krAOGB1YARp8HmZb1psZmZmQ16tgZSko4GjmLOnqxFIReG5b1psZmZmQ15tp/Yk7QYcQ7rf3r6keaQAtgMOAK4lBVEnAlvVVa+ZmZlZt9TZI/VF0qScW0bEI5LeDxARjYDqZ5IOAY4HLqqxXjMzM7OuqHOw+TrAjRHxSH4eAJLeHCMVET8E7gOOrLFeMzMzs66oM5BaCPh34fkreblEKd8dwIY11mtmZmbWFXUGUk8ASxeeP5aXY0r5VsC3hzEzM7N5QJ2B1D+ANQvPJ5IGl39L0qIAkj4JbAHcVWO9ZmZmZl1RZyA1AVhe0lYAEXED8CdgS+A5SVOB80hjp75TY71mZmZmXVFnIPUL4N3A7YW0nYDTgWdJk3PeDXwmIi6vsV4zMzOzrqjzpsUzSVfkFdNeBPbPDzMzM7N5iu+1Z2ZmZlZRnTObLyJppcbA8kL6SEnHSbpE0mmSRtdVp5mZmVk31Tmz+VHA14CNgL8DSFoI+AuwGrPvuberpHUj4oka6zYzMzMbcHWe2tsKmBQRfy+kfRpYnXT13nbAKcCSwCE11mtmZmbWFXUGUisBD5TSPk6a7mCviLgqIg4G7gc+UmO9ZmZmZl1RZyA1Eni+8STfY+/9wJ0RMaWQ7w5gxRrrNTMzM+uKOgOpfwOrFJ5vQAquri3lixrrNDMzM+uaOgOp24GNJO0oaQRp8HkAl5TyrQ48XmO9ZmZmZl1RZyB1fF5eSDrFN450Gu+aRgZJywDrkq/qMzMzMxvKagukIuJG0i1h/gzcS7plzMcjYlYh2+7AS4BvEWNmZmZDXp3zSBERE0g3L261/iTgpDrrNDMzM+sW3yLGzMzMrCIHUmZmZmYVOZAyMzMzq8iBlJmZmVlFDqTMzMzMKnIgZWZmZlZR5UBK0lmS9i48X0nS2+tplpmZmdng15ceqT1JNyVueBj4fp9aY2ZmZjaE9CWQeg1YuPBc+WFmZmb2ltCXQGoKsIWkletqjJmZmdlQ0pdA6lfA8sBDkt7IaZ+T9EYHj9f73nQzMzOz7urLvfaOAZ4HdgBWAFYBZgBT+94sMzMzs8GvciAVEbOAE/MDSbOA8yNi77YFzczMzOYRdc4jdQ7w5xq315KkRSTtKOlMSfdJekXSdEl3SDpa0vA2ZfeUdLOkaZKelXSZpM16qG/znO/ZXO5mSZ/tocwKks6W9Hhu3/2SviVp4XblzMzMbOioLZCKiL0i4qy6tteD/wB+B+wNvAH8HriedHrxW8AtkpYuF5J0EnA2sDZwNXAzsC1wnaQdm1UkaRfgWuDDwJ3A5cDqwDmSTmhRZjXgNtIUEc8AFwPzAUcDV0taqMqLNjMzs8GlL2OkmpK0ILALsAVpMDrAY6RA58KIeLWGal4DTgdOioh7CnUvB1wKrAecRAq4Guu2AQ4iBTabRsQDOX1TYCJwtqSJEfF8oczbgbNIQdAuEfHbnL4MqfftMEmXRMTEUvvGA0sCp0TEQbnM/MBvgJ2Ar5PGmJmZmdkQVustYiRtDjwA/ALYHxiXH/vntAd6Oo3WiYg4JyL2KwZROf0J4Ev56c45qGs4NC+PbQRRucxNwE+BJYB9SlV9HlgMuLgRROUyTwJfy08PKxaQtBGwOfBUIQ8R8TpwACkI/EoOrMzMzGwIqy2QkrQG8AdgReBW4BBS78uOwME5bUXgMkmr11VvE3fk5ULAO3LbhgFb5fQLmpRppI0rpX+0TZlLgVeAbUrjnhplJkTEzGKBHIBdD4xkzlnhzczMbAiqs0fqv4DhwCERsWFEnBwRF0fE7yPilIjYkBRQLZbz9pdV8/I14Nn895qkwOrpiHi0SZlb83KdUvq6pfVvyqco/0ma3X2NTsr0UJeZmZkNMXUGUlsDt0XEya0yRMQppEHY29RYb9lBeXl5oUdopbxsFkQREdNJc2KNlDQCQNJiwOLtyhXSi7O7t62rRRkzMzMbguocp7MU6eq2ntwLjKmx3jdJ2p40zuk14KjCqsZ0CDPaFJ9OGic1AnipUKZduel5OaIXdTUr05Kku1qsGt1JeTMzM+s/dfZIPUM6hdaTNZh9yq02kt5FGtAu4PCIuKOHImZmZmZ9Umcg9SdgPUn7t8og6QvABsA1NdaLpOVJ8zuNBE5scnpxWl4u0mYzi+blS6Uy7cqVy3RSV7MyLUXEmGYPYFIn5c3MzKz/1Hlq71jSFXqnStqDdFPjyXndysDupCvVZgD/XVelea6nK3MdZwNfbZLtX3m5QottLEo6rfdcRLwEEBEvSnqBNE5qBeDuJkUb23ukVNd6repqUcbMzMyGoNoCqYi4R9LHgV+S5lEqzxcl4Elgj/L8T1XlW8H8AVgL+C3whYiIJlnvA2YCS0laPiIeK61fPy/vLKXfAXwgr58jkJK0AGmG9FeA+0tldihss6xVXWZmZjbE1DohZ0T8kTT9wN6k2b2vzI/xOW10RNRyWi/fZuViYCPgCmD3iHijRbteZvbpxE80ybJrXk4opV9aWl/0MdLUB1dHxCtNyowr3womz4i+BfAccEOztpqZmdnQUWsgBRARMyJifETsExEfyY99clq7q+Y6Jmk+4DzSJJvXAzt3cOuZE/PyyOKEoPkWMfuRpj84s1TmDOBFYAdJOxfKLA0cn5/+oFggIm4mBUlLA98rlJkfOA1YgHTrmNd6fqVmZmY2mA3V25R8mTRrOsBU4DRJzfJ9NSKmAkTE1ZJOJs0zdbukq4AFSTctFrBX8T57ucyzkvYm3SPvAkkTSVcnbkMaU3Vik/vsAewF3AQcJGkr0mnBDUm9dTcC/1PxdZuZmdkgMlQDqZGFv3dqmSvdGHhq40lEHCzpdlIgti3wKnA18J2IuLHZBiLiQkkfAI4ENiEFX3cDP46Ic1qUeUDSesC3gQ/nNv4L+A7w3fKtY8zMzGxoGpKBVEQcQwqSqpQdTxqz1ZsyNwAf6WWZKaSeKTMzM5tH1T5GyszMzOytwoGUmZmZWUUOpMzMzMwqciBlZmZmVpEDKTMzM7OKag2kJD0kqbb76JmZmZkNZnX3SI0CliomSLpG0tdqrsfMzMys6yrPIyXpfOCvwC3A3yNiWousY4HJVesxMzMzG6z6MiHnh4BdgABmSbovpy8vabmIeKLPrTMzMzMbxPoSSC0BvBvYuPCAdEuURyU9BFxXQz1mZmZmg1LlACcignTPubuBswEkzQKuBW4mndL7DKnHag9JW5ACq+uA6yLigT613MzMzKzL+jJGaniLcVEPRsQRjTzAi8B9wNPAJ5kdXM1XtW4zMzOzwaAvp9yel3Q3acD5X0i9UHOIiGmSAG6KiL0lLQRsAmzRh3rNzMzMBoW+BFLnAu8D9gT2IfUyBbBlnu7gT8DfiwUiYibp1N+1fajXzMzMbFDoyxipvQEkLQKsD2wEnACsChxHCqqm5eWakjYDbomI1/raaDMzM7PBoM8TckbEjIj4c0ScmJPOAtYFDiX1SgnYFLiedDrwT5KO6Wu9ZmZmZt3WH/fai4j4R0ScHBE75rTLgAOAi0g9Vkf1Q71mZmZmA2qg5nd6KiJOB04HkDRqgOo1MzMz6zd1B1JbAj3OaB4Rk2uu18zMzGzA1RpIRUSzq/H2Ah6ssx4zMzOzwaDfT+1FxDn9XYeZmZlZN/THYHMzMzOztwQHUmZmZmYVOZAyMzMzq8iBlJmZmVlFDqTMzMzMKnIgZWZmZlaRAykzMzOzihxImZmZmVXkQMrMzMysIgdSZmZmZhU5kDIzMzOryIGUmZmZWUUOpMzMzMwqciBlZmZmVpEDKTMzM7OKHEiZmZmZVeRAyszMzKwiB1JmZmZmFTmQMjMzM6vIgZSZmZlZRQ6kzMzMzCpyIGVmZmZWkQMpMzMzs4ocSJmZmZlV5EDKzMzMrCIHUmZmZmYVOZAyMzMzq8iBlJmZmVlFDqTMzMzMKnIgZWZmZlaRAykzMzOzihxImZmZmVXkQMrMzMysIgdSZmZmZhU5kDIzMzOryIFUP5I0TNK3Jd0v6RVJj0s6S9Ly3W6bmZmZ9Z0DqX4iaWHgGuAoYDhwMTAF2Au4TdKqXWyemZmZ1cCBVP85EtgEuAlYIyJ2i4iNgcOApYCzutk4MzMz6zsHUv1A0oLAl/PTL0XEtMa6iDgRuBP4oKQNutE+MzMzq4cDqf6xObA4MCkibmuy/oK8HDdwTTIzM7O6OZDqH+vm5a0t1jfS1xmAtpiZmVk/mb/bDZhHrZSXj7ZY30hfuacNSbqrxap3TZo0iTFjxvS2bW09/uS0njOZzSPGTBje7SZU5n3V3krq3lcnTZoEsGId23Ig1T8a//EZLdZPz8sRfahj1syZM6fffffdU/qwDRscRuflpK624i3o7me63QIbYryvdkk/7Ksr0vo7ulccSA1yEVFvl5MNOo1eR/+vzQY376vWjMdI9Y9Gn/siLdYvmpcvDUBbzMzMrJ84kOof/8rLFVqsb6Q/MgBtMTMzs37iQKp/3JGX67dY30i/cwDaYmZmZv3EgVT/uAF4ARgt6b1N1u+alxMGrklmZmZWNwdS/SAiXgV+nJ+eKqkxJgpJh5Lmj7o2Iv7ejfaZmZlZPRQR3W7DPCnftHgisDHwBHA9ad6ojYGngU0i4qGuNdDMzMz6zIFUP5I0DPg68B+kOSueBS4HjoqIVpN1mpmZ2RDhQMrMzMysIo+RMjMzM6vIgZSZmZlZRQ6kzMzMzCpyIGVmZmZWkQMpMzMzs4ocSJmZmZlV5EDK5iIpSo9Zkp6XdL2kz0vSALdnsqRez9NRtdxAkXSWpOmSli6lN9735yUt0aLsETnPMQPU1gUl3Z3rfL2HvOMkXSvpxfyYKOmjLfKOavJ5Kz7+3WH7Vpf0ci5zdZP1wyQ9Iemyzl7x4DIYPxMDQdIx+TXt2e22NCPpA7l9Xyqljy/8z/ZsUXbZvH5yP7VtbA/71l/alP2IpKvy522GpH9I+pqkBTqsuzfHC0naU9J1kp7N+/FDkn4laUwp7455m5/s7F0YGPN3uwE2qJ2Tl/MBo4HNgfcDWwO7d6tRkL6AgYdJt9oZ2822VCHpPcDngB9ExFMtsi0OHAocPWANa+0bwLt6yiTpYOCHwOvA1cBM4EPAJZIOjIgftyj6JGmy2rIXOmzf6cBCrVZGxMuSjgdOlLRVRFzT4XYHm8H0megzSROBDwKrRMTk7ramd/IPyhOAR4Ez2mQ9StIvIqJtQNGPJgF/bpE+F0n/CRwHzAL+CjwFbAp8D9hW0vYR8VoPdXZ6vFgY+B3wYdKE1TcALwOrAp8ELgPuKhS5GLgD+K6k33XQjoEREX74MccDiPTRmCt9W+C1vP5jA9ie0cC7Smmjcjsm9qbcYHmQDgivAku3eP9nkQ4oLwAjm+Q5Iuc7ZgDa+m5SQPSzXOfrLfKtSQqgXgE2LaSvAUzNn53Vevt/7KB9++RtNNp3dYt8w4DngL92+/9f4TUOqs9Eja9rYm7zqBbrlyR9IS/NQykvAAAR9klEQVTe7bY2adtOue2HNFk3Pq+bkZf7NMmzbF43uZ/aNzZvf3wvymyYP2evAtsV0hcDrsnb+3oP2+joeFF6n04HhpXWLQes1KTMp3KZA7r9GWg8fGrPOhYRVwH/m5/uOID1ToqIeweqXH+TtCLwMeCKaN0bNYt0cFkM+OpAta0s/+o+HXie9EXdzkGk3sufRsRNjcSIuB/4b1IP+EE1t28Z4PvAVcB57fJGxMvAhcBGktarsx0DZFB8JgZSREyNiHsjotOeyYH0ReAN4Fdt8vw0L4/s9LRYl+0HiBR8XdFIjIgXgf1JAcyhkuZrVrg3xwtJG5F65W8G9sv755si4omI+FeTohcDL+X2DAoOpKy3bsvLFYuJkhaRdJSkf+Zz3C/kc96farYRSUtJOi6fR5+W898v6dy8gxXzzjHWKY8BeTg//WDpvP/4NuXWz3n+2urFSTow5zmxlD6/pAMk3aQ07udlSbdLOlhSb0+R703a99p+8ZO6118GDpT0jl7WUZf9SKdzD4uI53rI2xgHdUGTdY20cXU1LDuZ1NP0xQ7zN7709q25HQOl0mcij0PZXdI1kp6T9Iqke/IYpEValBmVx6k8rTSW72+SPqXZ49omlvIvkfefKyQ9ImmmpGckXS5p2ybbDtJpPYCHi/txId9cY6Qk3ZnTmp46kvQOSa9KerK8b0raWNL5SuPlXpX0qKQzJK3U6XuZt7MKaYjDNRHxZJust5K++EeR9vvBboO8nFhekX8QPU7qJdy8RfneHC++kJc/jtzV1IkccF0ErCNp407L9ScHUtZbI/JyZiNB0gjgOuDbwNLAJaRz3RsB50k6ubiBnP+vwH8Cw0m9CVeSTrt8Cti+hzbcTupZgDS25pzCo9lYAAAi4lbgXlKPxOgW2fbIy18U2jsst+800mmqv+Q2L0caD3ShpN7sSx/Ly4ntMkXEE6RftCOAw3ux/VpIWo70xf3HiPhFD3mXABpfRreV10fEFNLpvZUlLdZkE8tI+pak0yV9X9Kukhbsoc7tgd2A70bEgx28JIAbSacYmw5+H+yqfCbyZ/OXpCByQ9L+cxmwKPBN4E/5M14ssxqpp2B3Uu/C74HpeRsHt6hqE+AU0j5yH2nsy32kMXJXSCoGEtNI+2sjCLmQOffjdn6Zl3u0WP8JYAHg/6IwLknSF0n//52BR0hfxs+QTg3/TdK7e6i3aHtSz83EDvJ+k9ST842ePtP9ZHVJ/5P3re9K2r7N8WrRvGwVBD2Tl+uWV/TmeJFtlZc3Shot6UhJP5N0rKT391B2Yl4Ojv242+cW/Rh8D1qPkRLpQBTAsYX0H+W0a4ARhfR3kQ6Uc4ypAvbKaRcDbyvVsRSwdiltcrk9dDZGqlm5I3O5o5rkH53X3VNKPzWn/5rCWA3Sl9mled3+Hb63w0njiB7r4f1/Pf+9DOkLbBqwVCFP0/EwzB4X0ZvH5BbtuJA03mmNZm0r5V0nr3u2zeu6Led5T5P/Y7PHI8BGLba1aP7/3gssWHrtTcdIFcr+Ledbpdv7WqePPn4mDs/pfwKWLaQvSBokHcBxpTJX5/SfAPMV0rcjjZ+Za98DVgE2adL29UhfzC8Aw0vrJtJ+jNQxef2ehbQVSac5H2xR5vpcZuNC2iak/e5RYINS/sYYu7/04v/x61xm2xbrx+f1ny7sSwF8sZCn5Rip/Nnu7X48trSNsW3y3gms3qTeG2hxPCMd/5/P609osr43x4uFC235Qi5XbuOvyft2k/Jr5zzXdnvfjPAYKeuApPkkrQ6cRbp6YyZwdl63KOlANIt0kHipUS7S+KRj89Pi2Jil8vKaiJhVrCsino6If/bLC0kav2b/o8m6PUp5UJqa4AvAFGCvKIzVyK91H9IXywEd1r8WaRzRfZ1kjnTa4CekwOE/Oyjyb+b8Zd/JY65TcZJ2IP1yPy5Sl35PhufljDZ5pufliELaTNLrG0sKEBYjfcYuI/VwXSFp5SbbOhZYmXTAf7WD9hU1xs29t5flBoXefCbyqa2vkd77T0XEm9NJ5PftQNJnZt9GL0Xujdqa9KV5eES8UShzBfCbFu16OCLmuqQ+Im4j/RhZDNiy81faXKTezeuA0ZI2Ka7Ln5XNSUFW8RT+EaT9bv+I+Htpe2eSetw2Vudj59bJy472Y2YHhN+Q1PLq0oIL6P1+XJ4q5AXS+MFNgHfkx9akHvX3AFdKWrxU5rq8/FyTNu1CumoU5tyHqxwvilN4nEb6QfrunL4zqfd6N9LYymYG1z7c7UjOj8H3oP2vnheBnQp5P5DTb2mxrSWYffXK23La1jntUdKpvBE9tGcyNfVI5fTGr671S+n3UeqpIF2CG8Dpber5JymQHNYqTyHvx/L2Luzh/X+98HwpUu/DdGCZnNZvV2iRDpJT8vuxULu2FdI3a/xP22z3zznPZh2245c5/89K6e8jDfI9p5Q+ls56pE7J+fat+73rr0fVzwTp9HoAV7bZ9iU5z5r5+efy8/Na5B/Xat8jBSsfIgUOPyP1zIwv7HOHlvJPpJc9Ujn9Czn9lFL615u8B28jDU6eDizQop6v5nL7dfj/mJrzNz12UeqRymm/yWkH5uf9etVem7bPRwqYgtIVeKTevhfzunOB1UnH8E+STus1rtr+SaFMlePFO5n9nfIP5j4zsX1e9zKwWIvX0Whn016rgXy4R8raafzSOZs0qPfzwMoR8btCnnfm5eRmG4iI50m/jIYBI3PaH0lji95JGnD9rKS/5nPjq/bD6yiba4yFpPeRxnbcGBEPF/KOyssvqMXEdsAYUrf32zuou/GL7qW2uQoi4mnSL/pF6PnKuTp8F1iB1MM4s6fM2bS8bDpwOWuMv+j0tX83L7drJOQelp+TekuqXrn2Yl42ndhyKOjFZ2JUXm7b5vPbGGeyZF4ul5dTWmyz2ZVUSFoB+DtwBWlc0L6koOxzpEAbSj0ZfXABqTdzN815Bdlcvcqk1zWc9F692uI9+H4hbyca+/G0trnm9C3SD66vK82f1BWRehi/l59uV1o3hdQj9DzwGeB+0mnZ/yPNO3VWzlocQ9WX4wXAuTH3mYnLSPNXLUz6MdDMoNmPPSGntRQRe9a1qSbbPlTSz4AdgG1I3fEbAV+TtHtEXFguU6P/A04CPiXp8LwTNzsAw+wLMm4nTQTXTicHkcapwd5+oXyfdGXa/koTSzaVr2TqbbA1NSKKQck40piFoyQd1ST/fIUrtg6OiNuZ/eU6UtKiETG9SbkV8vKRDtv1QF4uV0hbgdSd/2/gfM05yX7jgLpBo33RfLLWxpfg8x22Y7Dq5DPR+Pw+SOoVaueZHtb35AzSIOQLgeNJPRQvRcQsSfuSeqhquStCRDynNEv9TqTjxxWS1iX9qLklIh4oZG+8B9OYfZFKK3f1sL7hBdKpsuF0+MMgIu6SdD7plNUBtLlqV9IJdB7UNRwXnU/30mzfarTz6vyD9lOksUhvkMbGXkge0sGc71OvjxcR8aKk50g/rie3aONk0sVLS7dYP2j2YwdS1leP52WzcSzkc/BLkLpo57gSJCLuIx1wj8+/0L5M+nL4CT0f8CqLiGckXUE6zTZW0rWkg8ZrpCCr6NG8/HNEHFhD9Y15ozrpvXpTREyV9CPSqYuvM/t9L1uW5uMb2nmEuXt3Fmb2penNNNYtkdv3vKR/kcY1rUfp6kmlubOWBB6JNCdNJ0bmZbOgbNn8aGYJ2re9sd2nO2zHoNThZ6Lx+b23Fz+MnsjLFVusnys9j5XclnRxyW5RGFeV9UdP8y9JgdQepF6wua64zaaSvuhnkcY5zvXDroKnSIHU2+lF7zKpV+oTpLFtF7fJtystjqltjGf22KGetNu3iDR1wU/K6ZI2Jb2P15VW9ep4kd1OGjM3cu7swOxj5Fy9fkpzcg0HXozej5GsnU/tWV/9nRQkbZAHpJd9Oi9vKHffFkXEKxFxAukgvpRK959rorHzVP0xUBx0vhXpS/mKiCj/Kv8T6RfZx1TPhHp3ka4eWrNC2R+QDtr7Ass3yxAREyNCvXyMKm1jVKu8OcsbhbSJhaKX5uWuTZrWSJvQi9e7S17eWmjb5DZtawxk/mOpvWWNy9xv70VbBquePhO3kHpPPiip0+D9xrzcLgdIZc3uc7Y46fvkiXIQlfebnVrU1Zf9+BLSa9sxt3N30r46x4+hSFMgTCQNdt+6Qj3NNHqne7UfR8Q9pKvRlqHN3Gft9sE2j4m9aMpc+1ZPlO6XuSpweT4F2GNbc5ZWx4vf5+XYJnWtxOzT0nNNp8Ls288Min3YgZT1ST6Fcxbps3Rq8cAraQ3SdAOQBvg20ncsX22T0zcgHWCm0XN3beOWI6PVYpbdHjRmx92F2RPllU/rERGPkV7fKNKcWMs0afdqknYppzeT36/bgOUkNQ2G2pR9hvQ+LkS6WnCwOZn0RbZ/8f+bA+z/IgWQ5TnFvqAmEytK2pk0Jw2ksUC1yD2f7wGmlMbCDUk9fSbymJXjSaeSf9tsDKKk5SV9plDmAeCPpJ6C7xXnHFKaWLPZJLtPkYKatSVtXsg/H2k8zhotXkKjF63XPyzya7uA9NpOIJ32vTqaT5D536SelLMljS2vlDRc0t7l+bTauD4vN+xtu0nz7b1B55PIVqI0WXB54mRJ2g84BN6c3qJcbgOVzplL2ox0Wu8V0r0e63AW+eo8SR8v1LUI6Uq++YHLikFbQWPc1LU1taVvOh2V7sdb5wHN55Fqk38Es+fmeZJ0dcqlpJ6qAE4u5T+J2VftTSAFMH8ifdE2u7JncrP2kH7RBOmquXNJYzT26qlcYf05jddKGrjY9Ko70kD5K3O+aaTTVr8iBWMP5PSLevF+fTOX2aPN+9/qfnYjSV9YjXYf04XPRrt7ZzUO0K+RpjC4iNn3GzuwSf6Jed0dwPmkU7r3FF7f8b1o21h6uGqP2VeM/qTT7Q6GR18+E6QfOefmdTNJl7+fl9/rxhWnt5fKrE4KjoI04PhX+X/1BrPnjbuyVOYbjXbm/eXXpDsQzAB+3KJtO+f0F/L//wzgjML6Y2hy1V5h/ZaF1z3HVXJN8u7P7GPMP/Lr/3V+PxrzGC3R4f9jlfy+XdVi/fh27Sn8P/rtqj3S8e910sSq/0c6Xj2U63wD+HKbclOAP+T/+y35tc4APlrX5zavb8xLNgu4Cfgt8Fgu9zCwfIty/5vzbNyb9vTXo+sN8GPwPRo7eC/LLEq6I/1d+aD0IulX2+5N8r6X9AvyZlLg9UreeX8PbN0k/+Rm7SENQjyXdDqwcYAc31O5wvoPFQ5m5/Tw+uYDPkv6pf5M3vkfI50GOZrCJHQdvFcr5vZe2ub9b3fw+RYtvjQH6LPRsm05zzjSGIqX8uM6WtzkmjSu5XxSQPpC4X29ENiml20bS8+B1Jk5z/q92Xa3H3V8JoCPk06HPZnf5ydJP4C+1+z9IAULvyL1GswgnQb6NOnCkKDJ9Ah5H7mVNPZmKvlWHsCerdpGmim9cdyY49hDz4HU20hf+pHrHN7qPcr530sKciaTgsrnSMHkmaSrF9WL/8mVeT9etsm68bQPpFZj9jFrcj99Zg4k/VB9iPQDcGZ+3f8LbNim3BGk4PKZQpmfAavW/bnNeRoXKDydP5eTgBOBJVvkH0Y6rtzRH+9blYdyw8xsAEn6HWmw+4pRmCTR+k8+bfM4cH9EDIp7dA1Fko4A/gc4IiK+11P+eVWehPIi4KsR8YNut+etQtLupAD/ixEx16nJbnAgZdYFktYmnc76Ycw59YD1E0mHkH7pbh0R13S7PYNZHku2akTcXUrfknSKaBiwWkR0OpXFPEnpBujLA6Oj8zmUrKI8dus20hV7a8UguGIPHEiZdY2ks0hzyqwSEU/1lN+qy71RDwG3RURPN8V+y5O0LOmU+X2k066vkMZNNW5W614YQNIHSAOeD4yIH3e7PfM6STuSboa9W0Q0vVVRNziQMjOzOeTA89ukuaFWJE0d8Dxp4PGPIuIPXWye2aDiQMrMzMysIs8jZWZmZlaRAykzMzOzihxImZmZmVXkQMrMzMysIgdSZmZmZhU5kDIzMzOryIGUmZmZWUUOpMzMzMwqciBlZmZmVpEDKTMzM7OKHEiZmZmZVeRAyszMzKwiB1JmZmZmFf0/DB2BG5LIf/UAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"metadata":{"_uuid":"529ea0bdfc9338af404172c436c9a34bf7ab6b2d"},"cell_type":"markdown","source":"So, we have about a 60 / 40 split of negative to positive samples in the data. This is important because it means that a trivial classifier, that just labels every sample as negative, would achieve an accuracy of 60%. Possible countermeasures to avoid a bias in the classifier and improve stability during training are, e.g., [over- and undersampling](https://en.wikipedia.org/wiki/Oversampling_and_undersampling_in_data_analysis).\n\n## Let's start looking at each class individually\n\nWe'll now split the data into positive and negative samples to get an idea what makes the classes unique. Such an analysis can often provide insight into possible [feature engineering](https://en.wikipedia.org/wiki/Feature_engineering) possibilities or which data transformations may be useful."},{"metadata":{"_uuid":"6e4d8e67e64d2cdc6ad4098b4a67f93c87d9ec5d","trusted":true},"cell_type":"code","source":"positive_samples = X[y == 1]\nnegative_samples = X[y == 0]","execution_count":8,"outputs":[]},{"metadata":{"_uuid":"c38d6b1820db94afb9dabf3b29f407bec119830e"},"cell_type":"markdown","source":"Now, we will compare the distribution of pixel values for each color channel (RGB) individually and all channels together"},{"metadata":{"_uuid":"9f0907419bd54f6cae17a469cd054a801db3fdb5","trusted":true,"scrolled":false},"cell_type":"code","source":"nr_of_bins = 256 #each possible pixel value will get a bin in the following histograms\nfig,axs = plt.subplots(4,2,sharey=True,figsize=(8,8),dpi=150)\n\n#RGB channels\naxs[0,0].hist(positive_samples[:,:,:,0].flatten(),bins=nr_of_bins,density=True)\naxs[0,1].hist(negative_samples[:,:,:,0].flatten(),bins=nr_of_bins,density=True)\naxs[1,0].hist(positive_samples[:,:,:,1].flatten(),bins=nr_of_bins,density=True)\naxs[1,1].hist(negative_samples[:,:,:,1].flatten(),bins=nr_of_bins,density=True)\naxs[2,0].hist(positive_samples[:,:,:,2].flatten(),bins=nr_of_bins,density=True)\naxs[2,1].hist(negative_samples[:,:,:,2].flatten(),bins=nr_of_bins,density=True)\n\n#All channels\naxs[3,0].hist(positive_samples.flatten(),bins=nr_of_bins,density=True)\naxs[3,1].hist(negative_samples.flatten(),bins=nr_of_bins,density=True)\n\n#Set image labels\naxs[0,0].set_title(\"Positive samples (N =\" + str(positive_samples.shape[0]) + \")\");\naxs[0,1].set_title(\"Negative samples (N =\" + str(negative_samples.shape[0]) + \")\");\naxs[0,1].set_ylabel(\"Red\",rotation='horizontal',labelpad=35,fontsize=12)\naxs[1,1].set_ylabel(\"Green\",rotation='horizontal',labelpad=35,fontsize=12)\naxs[2,1].set_ylabel(\"Blue\",rotation='horizontal',labelpad=35,fontsize=12)\naxs[3,1].set_ylabel(\"RGB\",rotation='horizontal',labelpad=35,fontsize=12)\nfor i in range(4):\n    axs[i,0].set_ylabel(\"Relative frequency\")\naxs[3,0].set_xlabel(\"Pixel value\")\naxs[3,1].set_xlabel(\"Pixel value\")\nfig.tight_layout()","execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1200x1200 with 8 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"_uuid":"64979c39dddf575f01912a9b733f0c39fbdae155"},"cell_type":"markdown","source":"So we can already spot differences in the distributions of all channels individually and together between positive and negative samples: \n* Negative samples seem to have higher, i.e. brighter, pixel values in general and especially in the green color channel. \n* Interestingly, the positive samples have a darker green channel than red and blue while this is not true for the negative samples. However, very dark pixels are for both sample sets mostly only present in the green channel.\n* Furthermore, note the relatively high frequency of the pixel value 255. Looking at the data above we can see, that these can likely be attributed to the bright white image regions present in some images. They seem to be present in both positive and negative samples similarly frequently.\n\nNow, let's switch perspective and look at the distribution of mean image brightness, i.e. mean image pixel values. Note, previously we were averaging over all pixel values in the positive and negative samples. Now, we will take the mean of each individual image and look at that distribution."},{"metadata":{"_uuid":"296e1bf788a2ee4f48358f42cfc22a2117870e00","trusted":true,"scrolled":false},"cell_type":"code","source":"nr_of_bins = 64 #we use a bit fewer bins to get a smoother image\nfig,axs = plt.subplots(1,2,sharey=True, sharex = True, figsize=(8,2),dpi=150)\naxs[0].hist(np.mean(positive_samples,axis=(1,2,3)),bins=nr_of_bins,density=True);\naxs[1].hist(np.mean(negative_samples,axis=(1,2,3)),bins=nr_of_bins,density=True);\naxs[0].set_title(\"Mean brightness, positive samples\");\naxs[1].set_title(\"Mean brightness, negative samples\");\naxs[0].set_xlabel(\"Image mean brightness\")\naxs[1].set_xlabel(\"Image mean brightness\")\naxs[0].set_ylabel(\"Relative frequency\")\naxs[1].set_ylabel(\"Relative frequency\");","execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1200x300 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"_uuid":"3671a84db204421a58fca08010e38a99490b1e27"},"cell_type":"markdown","source":"Once again, we can spot pretty obvious differenes between the positive and negative samples. The distribution of mean brightness for the positive samples looks almost like a normal distribution around a brightness of 150. The negative samples, however, seem to follow some bimodal distribution with peaks around 140 and 225. \n\n**Conclusions:** \n* There are some easily spotted differences in the distributions of pixel values and mean image brightness between positive and negative samples. This is good, because whatever model we will use can likely use this. \n* Some of the images seem to contain very bright regions, which are likely artifacts of the recording process. We might have to find a way to deal with them. They are almost equally distributed between positive and negative samples and, hence, probably not easily usable as a feature.\n* We have about 50% more negative than positive samples. This might require adjustments."},{"metadata":{"_uuid":"c3bd89f6d9e00472c46b1c9c617e3d090c9fccce"},"cell_type":"markdown","source":"# Setup the model\nWe will now focus on creating a simple model for this problem. This is usually the point, where you would want to start considering our previous conclusions, but to keep it simple, we will assume, we did not draw any meaningful conclusions. As the data is - in comparison to other Kaggle challenges - relatively well balanced and accesible, this should be ok. You can use the insight to craft a better model later!\n\nLet's start by loading all the data, not just a subset as before. This will likely require a few minutes. However, we only need to do it once."},{"metadata":{"_uuid":"30e69a2a034e279da6eeb0fc09f1a58b58fc0401","trusted":true},"cell_type":"code","source":"gc.collect()\nsample = 0.9\nN = int(df[\"path\"].size * sample) # get the number of images in the training data set\nX,y = load_data(N=N,df=df)","execution_count":11,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:7: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n  import sys\n","name":"stderr"},{"output_type":"display_data","data":{"text/plain":"HBox(children=(IntProgress(value=0, max=187021), HTML(value='')))","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"031228fcfc2b49a9b529f4b7f6c879f0"}},"metadata":{}}]},{"metadata":{"_uuid":"2e5b2386785b29f3a332daffa0160d14aa3a562e"},"cell_type":"markdown","source":"We will use the garbage collector and unbind some variables to free up space in our RAM."},{"metadata":{"trusted":true,"_uuid":"e14b07edae9d62cc873b1b10c5288c72bfbf9671"},"cell_type":"code","source":"#Collect garbage\npositives_samples = None\nnegative_samples = None\ngc.collect();","execution_count":12,"outputs":[]},{"metadata":{"_uuid":"c56525b3ee4c5f65255422ec035c057d350de292"},"cell_type":"markdown","source":"Now, we will split the data into a [training and validation set](https://en.wikipedia.org/wiki/Training,_validation,_and_test_sets). Due to the RAM limitations, we will just do this in-place by specifying an index at which we will split. We'll use 80% of the data for training and 20% to validate that our model can generalize to new data. After that, to avoid any influence of a possible previous sorting of data we will shuffle the data (in-place)."},{"metadata":{"_uuid":"60644d18d00811a12f6270ac42f8c745902018a8","trusted":true},"cell_type":"code","source":"'''\ntraining_portion = 0.8 # Specify training/validation ratio\nsplit_idx = int(np.round(training_portion * y.shape[0])) #Compute split idx\n\nnp.random.seed(42) #set the seed to ensure reproducibility\n\n#shuffle\nidx = np.arange(y.shape[0])\nnp.random.shuffle(idx)\nX = X[idx]\ny = y[idx]\n'''","execution_count":13,"outputs":[{"output_type":"execute_result","execution_count":13,"data":{"text/plain":"'\\ntraining_portion = 0.8 # Specify training/validation ratio\\nsplit_idx = int(np.round(training_portion * y.shape[0])) #Compute split idx\\n\\nnp.random.seed(42) #set the seed to ensure reproducibility\\n\\n#shuffle\\nidx = np.arange(y.shape[0])\\nnp.random.shuffle(idx)\\nX = X[idx]\\ny = y[idx]\\n'"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nxtrain, xvalid, ytrain, yvalid = train_test_split(X, y, stratify=y, random_state=42, test_size=0.2, shuffle=True)","execution_count":14,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"del X\ndel y\ngc.collect();","execution_count":15,"outputs":[]},{"metadata":{"_uuid":"5f6bf258977d100a6781f13e9dfe31009fec0bb3"},"cell_type":"markdown","source":"Let's declare our neural network architecture now. This kernel uses [keras](https://keras.io/), which makes it very easy to setup a neural network and start training it.\n\nThe model architecture is taken from [another kernel](https://www.kaggle.com/fmarazzi/baseline-keras-cnn-roc-fast-10min-0-925-lb). It is a relatively simple convolutional neural network with three blocks of [convolutional layers, batch normalization, pooling and dropout](https://cs231n.github.io/convolutional-networks/)."},{"metadata":{"_uuid":"9434b86b47f6132843b328d4fbf326aad01b24c0","trusted":true},"cell_type":"code","source":"#just some network parameters, see above link regarding the layers for details\nkernel_size = (3,3)\npool_size= (2,2)\nfirst_filters = 32\nsecond_filters = 64\nthird_filters = 128\n\n#dropout is used for regularization here with a probability of 0.3 for conv layers, 0.5 for the dense layer at the end\ndropout_conv = 0.3\ndropout_dense = 0.5\n\nfrom numpy.random import seed\nseed(42)\nfrom tensorflow import set_random_seed\nset_random_seed(42)\n\n#initialize the model\nmodel = Sequential()\n\n#now add layers to it\n\n#conv block 1\nmodel.add(Conv2D(first_filters, kernel_size, input_shape = (96, 96, 3)))\nmodel.add(BatchNormalization())\nmodel.add(Activation(\"relu\"))\nmodel.add(Conv2D(first_filters, kernel_size, use_bias=False))\nmodel.add(BatchNormalization())\nmodel.add(Activation(\"relu\"))\nmodel.add(MaxPool2D(pool_size = pool_size)) \nmodel.add(Dropout(dropout_conv))\n\n#conv block 2\nmodel.add(Conv2D(second_filters, kernel_size, use_bias=False))\nmodel.add(BatchNormalization())\nmodel.add(Activation(\"relu\"))\nmodel.add(Conv2D(second_filters, kernel_size, use_bias=False))\nmodel.add(BatchNormalization())\nmodel.add(Activation(\"relu\"))\nmodel.add(MaxPool2D(pool_size = pool_size))\nmodel.add(Dropout(dropout_conv))\n\n#conv block 3\nmodel.add(Conv2D(third_filters, kernel_size, use_bias=False))\nmodel.add(BatchNormalization())\nmodel.add(Activation(\"relu\"))\nmodel.add(Conv2D(third_filters, kernel_size, use_bias=False))\nmodel.add(BatchNormalization())\nmodel.add(Activation(\"relu\"))\nmodel.add(MaxPool2D(pool_size = pool_size))\nmodel.add(Dropout(dropout_conv))\n\n#a fully connected (also called dense) layer at the end\nmodel.add(Flatten())\nmodel.add(Dense(256, use_bias=False))\nmodel.add(BatchNormalization())\nmodel.add(Activation(\"relu\"))\nmodel.add(Dropout(dropout_dense))\n\n#finally convert to values of 0 to 1 using the sigmoid activation function\nmodel.add(Dense(1, activation = \"sigmoid\"))","execution_count":16,"outputs":[{"output_type":"stream","text":"WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\nInstructions for updating:\nColocations handled automatically by placer.\nWARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\nInstructions for updating:\nPlease use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n","name":"stdout"}]},{"metadata":{"_uuid":"859fd386ac84192fe162ecb33094e586e1a9d6bf"},"cell_type":"markdown","source":"To start training with keras we need to [compile](https://keras.io/models/model/#compile) our model. We will use a batch size of 50, i.e., feed the network 50 images at once. Further, we will use [binary crossentropy](https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a) as loss function and the [Adam optimizer](ruder.io/optimizing-gradient-descent/index.html). We set the [learning rate](https://towardsdatascience.com/understanding-learning-rates-and-how-it-improves-performance-in-deep-learning-d0d4059c1c10) of 0.001 for now.\n\nAs output we will get the classification accuracy of the model."},{"metadata":{"_uuid":"43c6aea09f1541f2411ad651ada5a3552304ac0b","trusted":true},"cell_type":"code","source":"batch_size = 32\nepochs = 30\n\nfrom keras.callbacks import ModelCheckpoint\nfrom keras.callbacks import EarlyStopping\n\nmodel.compile(loss=keras.losses.binary_crossentropy,\n              optimizer=keras.optimizers.Adam(0.01), \n              metrics=['accuracy'])\n\ncheckpointer = ModelCheckpoint(monitor='val_acc', mode='max', filepath='model.hdf5', verbose=2, save_best_only=True)\nearlyStopping = EarlyStopping(monitor='val_acc', min_delta=0, patience=5, verbose=0, mode='max')\n\nhistory = model.fit(x = xtrain, y = ytrain, validation_data=(xvalid, yvalid), epochs=epochs, batch_size=batch_size, verbose=2, callbacks=[checkpointer, earlyStopping])","execution_count":null,"outputs":[{"output_type":"stream","text":"Train on 149616 samples, validate on 37405 samples\nEpoch 1/30\n - 109s - loss: 0.1871 - acc: 0.9300 - val_loss: 0.4267 - val_acc: 0.8559\n\nEpoch 00001: val_acc improved from -inf to 0.85590, saving model to model.hdf5\nEpoch 2/30\n - 106s - loss: 0.1839 - acc: 0.9318 - val_loss: 0.3201 - val_acc: 0.8778\n\nEpoch 00002: val_acc improved from 0.85590 to 0.87780, saving model to model.hdf5\nEpoch 3/30\n - 107s - loss: 0.1794 - acc: 0.9337 - val_loss: 0.2512 - val_acc: 0.9073\n\nEpoch 00003: val_acc improved from 0.87780 to 0.90731, saving model to model.hdf5\nEpoch 4/30\n - 106s - loss: 0.1747 - acc: 0.9356 - val_loss: 0.5253 - val_acc: 0.8422\n\nEpoch 00004: val_acc did not improve from 0.90731\nEpoch 5/30\n - 106s - loss: 0.1721 - acc: 0.9373 - val_loss: 0.2131 - val_acc: 0.9188\n\nEpoch 00005: val_acc improved from 0.90731 to 0.91875, saving model to model.hdf5\nEpoch 6/30\n - 106s - loss: 0.1690 - acc: 0.9381 - val_loss: 0.2449 - val_acc: 0.9021\n\nEpoch 00006: val_acc did not improve from 0.91875\nEpoch 7/30\n - 106s - loss: 0.1658 - acc: 0.9392 - val_loss: 0.3173 - val_acc: 0.8760\n\nEpoch 00007: val_acc did not improve from 0.91875\nEpoch 8/30\n - 106s - loss: 0.1644 - acc: 0.9396 - val_loss: 0.2180 - val_acc: 0.9258\n\nEpoch 00008: val_acc improved from 0.91875 to 0.92576, saving model to model.hdf5\nEpoch 9/30\n - 106s - loss: 0.1607 - acc: 0.9413 - val_loss: 0.2781 - val_acc: 0.8912\n\nEpoch 00009: val_acc did not improve from 0.92576\nEpoch 10/30\n - 106s - loss: 0.1589 - acc: 0.9422 - val_loss: 0.1624 - val_acc: 0.9371\n\nEpoch 00010: val_acc improved from 0.92576 to 0.93715, saving model to model.hdf5\nEpoch 11/30\n - 107s - loss: 0.1563 - acc: 0.9437 - val_loss: 0.2448 - val_acc: 0.9061\n\nEpoch 00011: val_acc did not improve from 0.93715\nEpoch 12/30\n - 106s - loss: 0.1519 - acc: 0.9447 - val_loss: 0.1548 - val_acc: 0.9426\n\nEpoch 00012: val_acc improved from 0.93715 to 0.94257, saving model to model.hdf5\nEpoch 13/30\n - 106s - loss: 0.1526 - acc: 0.9448 - val_loss: 0.1795 - val_acc: 0.9327\n\nEpoch 00013: val_acc did not improve from 0.94257\nEpoch 14/30\n - 106s - loss: 0.1480 - acc: 0.9460 - val_loss: 0.2000 - val_acc: 0.9220\n\nEpoch 00014: val_acc did not improve from 0.94257\nEpoch 15/30\n - 106s - loss: 0.1484 - acc: 0.9462 - val_loss: 0.1547 - val_acc: 0.9444\n\nEpoch 00015: val_acc improved from 0.94257 to 0.94437, saving model to model.hdf5\nEpoch 16/30\n - 106s - loss: 0.1482 - acc: 0.9466 - val_loss: 0.1786 - val_acc: 0.9386\n\nEpoch 00016: val_acc did not improve from 0.94437\nEpoch 17/30\n - 106s - loss: 0.1449 - acc: 0.9478 - val_loss: 0.2558 - val_acc: 0.9110\n\nEpoch 00017: val_acc did not improve from 0.94437\nEpoch 18/30\n - 106s - loss: 0.1425 - acc: 0.9487 - val_loss: 0.1478 - val_acc: 0.9463\n\nEpoch 00018: val_acc improved from 0.94437 to 0.94626, saving model to model.hdf5\nEpoch 19/30\n - 106s - loss: 0.1414 - acc: 0.9483 - val_loss: 0.2298 - val_acc: 0.9148\n\nEpoch 00019: val_acc did not improve from 0.94626\nEpoch 20/30\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"def plot_history(history):\n    acc = history.history['acc']\n    val_acc = history.history['val_acc']\n    loss = history.history['loss']\n    val_loss = history.history['val_loss']\n    x = range(1, len(acc) + 1)\n\n    plt.figure(figsize=(12, 5))\n    plt.subplot(1, 2, 1)\n    plt.plot(x, acc, 'b', label='Training acc')\n    plt.plot(x, val_acc, 'r', label='Validation acc')\n    plt.title('Training and validation accuracy')\n    plt.legend()\n    plt.subplot(1, 2, 2)\n    plt.plot(x, loss, 'b', label='Training loss')\n    plt.plot(x, val_loss, 'r', label='Validation loss')\n    plt.title('Training and validation loss')\n    plt.legend()\n    \nplot_history(history)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"b88d166534707fac6a1553adc0b0b94f5a6baf76"},"cell_type":"markdown","source":"We are now ready to start training our model!"},{"metadata":{"_uuid":"c23406dd90b311f7683e6d5b76a5c929d8d52bc4"},"cell_type":"markdown","source":"# 6. Train and validate the model\nWe will now train the model for three epochs (should take ~20mins). That means the model will have performed a [forward and backward pass](https://cs231n.github.io/optimization-2/) for each image in the training exactly three times.\n\nTo do so, we will split the training data in batches and feed one batch after another into the network. [The batch size is a critical parameter for training a neural network](https://cs231n.github.io/neural-networks-3/#baby). \n\nKeras can do the splitting automatically for you, but, I thought, this way it is more transparent what is happening."},{"metadata":{"_uuid":"594a0db99d65d223695d4dd8d9437d915363e055","trusted":true},"cell_type":"code","source":"'''\n#normally you would want to reshuffle the data between epochs, we don't as we split in-place into training/validation\nepochs = 10 #how many epochs we want to perform\nfor epoch in range(epochs):\n    #compute how many batches we'll need\n    iterations = np.floor(split_idx / batch_size).astype(int) #the floor makes us discard a few samples here, I got lazy...\n    loss,acc = 0,0 #we will compute running loss and accuracy\n    with trange(iterations) as t: #display a progress bar\n        for i in t:\n            start_idx = i * batch_size #starting index of the current batch\n            x_batch = X[start_idx:start_idx+batch_size] #the current batch\n            y_batch = y[start_idx:start_idx+batch_size] #the labels for the current batch\n\n            metrics = model.train_on_batch(x_batch, y_batch) #train the model on a batch\n\n            loss = loss + metrics[0] #compute running loss\n            acc = acc + metrics[1] #compute running accuracy\n            t.set_description('Running training epoch ' + str(epoch)) #set progressbar title\n            t.set_postfix(loss=\"%.2f\" % round(loss / (i+1),2),acc=\"%.2f\" % round(acc / (i+1),2)) #display metrics\n'''","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"cd873cb97936e734aca949c2dc7673b53cbcaa8d"},"cell_type":"markdown","source":"Now, to verify that our model also works with data it hasn't seen yet, we will perform a validation epoch, i.e., check the accuracy on the validation set without further training the network. This is achieved using the [`test_on_batch` function](https://keras.io/models/sequential/#test_on_batch)."},{"metadata":{"_uuid":"86b62f51aaedb77b00bfc39a830cd256c7c826d3","trusted":true},"cell_type":"code","source":"'''\n#compute how many batches we'll need\niterations = np.floor((y.shape[0]-split_idx) / batch_size).astype(int) #as above, not perfect\nloss,acc = 0,0 #we will compute running loss and accuracy\nwith trange(iterations) as t: #display a progress bar\n    for i in t:\n        start_idx = i * batch_size #starting index of the current batch\n        x_batch = X[start_idx:start_idx+batch_size] #the current batch\n        y_batch = y[start_idx:start_idx+batch_size] #the labels for the current batch\n        \n        metrics = model.test_on_batch(x_batch, y_batch) #compute metric results for this batch using the model\n        \n        loss = loss + metrics[0] #compute running loss\n        acc = acc + metrics[1] #compute running accuracy\n        t.set_description('Running training') #set progressbar title\n        t.set_description('Running validation')\n        t.set_postfix(loss=\"%.2f\" % round(loss / (i+1),2),acc=\"%.2f\" % round(acc / (i+1),2))\n        \nprint(\"Validation loss:\",loss / iterations)\nprint(\"Validation accuracy:\",acc / iterations)\n'''","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"4726acfd86e61d1ad1c65fa0793204c2b128aafc"},"cell_type":"markdown","source":"# 7. Create a submission\nWell, now that we have a trained a model, we can create a submission by predicting the labels of the test data and see, where we are at in the leaderboards!\n\nLet's just first clear up some RAM. The creation of the submission is a modified version of the on presented in [this kernel](https://www.kaggle.com/fmarazzi/baseline-keras-cnn-roc-fast-10min-0-925-lb)"},{"metadata":{"trusted":true,"_uuid":"3217bef913dde489dd23aebceaea82a4e88a1748"},"cell_type":"code","source":"del xtrain\ndel xvalid\ndel ytrain\ndel yvalid\ngc.collect();","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"6d5d71c896efb4018434d00d1aab03d3355cb367"},"cell_type":"code","source":"from keras.models import load_model\n\nmodel = load_model('model.hdf5')\n\nbase_test_dir = path + 'test/' #specify test data folder\ntest_files = glob(os.path.join(base_test_dir,'*.tif')) #find the test file names\nsubmission = pd.DataFrame() #create a dataframe to hold results\nfile_batch = 5000 #we will predict 5000 images at a time\nmax_idx = len(test_files) #last index to use\nfor idx in range(0, max_idx, file_batch): #iterate over test image batches\n    print(\"Indexes: %i - %i\"%(idx, idx+file_batch))\n    test_df = pd.DataFrame({'path': test_files[idx:idx+file_batch]}) #add the filenames to the dataframe\n    test_df['id'] = test_df.path.map(lambda x: x.split('/')[3].split(\".\")[0]) #add the ids to the dataframe\n    test_df['image'] = test_df['path'].map(cv2.imread) #read the batch\n    K_test = np.stack(test_df[\"image\"].values) #convert to numpy array\n    \n    predictions = model.predict(K_test,verbose = 1) #predict the labels for the test data\n    test_df['label'] = predictions #store them in the dataframe\n    submission = pd.concat([submission, test_df[[\"id\", \"label\"]]])\nsubmission.head() #display first lines","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"a6113e9f267e0902a423490b75fa331f524e2aae"},"cell_type":"code","source":"submission.to_csv(\"submission.csv\", index = False, header = True) #create the submission file","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}