Data Science Techniques Kaggle Competition IT Assignment Help

Assignment Task

Task

This is an exercise of text classification, through the platform of an online data science competition:  You may use the following invitation link to join the competition but please refrain from posting the invitation link elsewhere: This is a text classification task. Every document (a line in the data file) is a movie review from IMDB. Your goal is to classify each document into ONE of the two categories, based on whether it needs simplification: 1 if the reviewis positive; 0 if the review is negative. The training data contains 10,000 reviews, already labeled with one of the above categories. The test data contains 5,000 reviews that are unlabeled. The submission should be a .csv file with a header line ”Id,Category” followed by exactly 5,000 lines. In each line, there should be exactly two integers, separated by a comma. The first integer is the line ID of a test example (0 - 5,000), and the second integer is the category your classifier predicts one of {0,1}. You can make 8 submissions per day. Once you submit your results, you will get an accuracy score computed based on 50% of the test data. This score will position you somewhere on the leaderboard. Once the competition ends, you will see the final accuracy computed based on the other 50% of the test data. The evaluation metric is the accuracy of your classifier - so the higher the better.

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