Conde Nast Data Science Hiring Challenge

Preferred UI theme

You are working in an e-commerce company. The management of the company has recently changed the UI of the website. Your company has conducted a survey among the users to collect their views on the new UI update.

Task

You are required to build a machine learning model that can predict the preferred UI theme, given a user’s UI engagement information.

Dataset description

The dataset folder contains the following files:

• train.csv:  15150 x 16
• test.csv:  1850 x 15
• sample_submission.csv: 5 x 2

The columns provided in the dataset are as follows:

Evaluation metric

score = 100*(metrics.roc_auc_score(actual, predicted, average= "weighted" ))

Result submission guidelines

• The index is "CustomerID" and the target is the "Preferred_Theme" column. 
• The submission file must be submitted in .csv format only.
• The size of this submission file must be  1850 x 2.

Note: Ensure that your submission file contains the following:

• Correct index values as per the test file
• Correct names of columns as provided in the sample_submission.csv file

Instructions: 

• Click Download dataset to download the dataset.
• Solve the problem in your local environment.
• Save the submission in a .csv file.
• Click Upload File (under the Upload File section) to upload your prediction file (.csv).
• Click Upload File (under the Upload Source Code section) to upload your .ipynb file along with any presentation file.
• Add any instructions or comments in the Your Answer section.
• Click Submit.

Download dataset