There are two features - ‘review’ - the sentence and ‘sentiment’ - the label for the review. 1 means positive review and 0 means negative review.

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

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Etc.

Note that the header name should be ‘prediction’ else it will throw an evaluation error.

Steps to follow to submit your notebook:

Go to the Notebook section on this challenge page
Click on the 'Upload Notebook' button on top left corner as shown in the image below:
Make sure to make the visibility of your notebook as 'public' while uploading the notebook.
Provide Notebook Title, Summary, add some tags, go to next, chose a file and click on Upload.

This dataset is sourced from UCI Machine Learning Repository.

Data Sprint #40: Sentiment Analysis