{"cells":[{"metadata":{"_uuid":"45c28daca28a88913a6a6093c78f61260ce874d3"},"cell_type":"markdown","source":"This is a simple code to create an empty submission i.e. predicting that all images have no ships on them. \n\nCredit to https://www.kaggle.com/osciiart/no-mask-prediction"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"# Read the sample submission and display the first lines\nsub = pd.read_csv(\"../input/sample_submission_v2.csv\")\nsub.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"a9ae29580b2682e450173dda3a249f2c73f1ace1"},"cell_type":"code","source":"# Set EncodedPixels to an empty string\nsub['EncodedPixels'] = \"\"\n\n# Create a CSV file with this data\nsub.to_csv(\"no_mask_prediction.csv\", index=None)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"dd8e76a03203be6ac60a6191cf2f590bb6770c88"},"cell_type":"markdown","source":"Now, you just have to commit and run this kernel.  Then, jump to the Output tab and submit this file to the competition. This will score 0.520 on the public leaderboard."}],"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}