Reference no: EM133420704
Description
What makes some songs become popular? The dataset describes popular songs based on auditory features such as loudness and tempo.
Goal
Construct a model using a dataset of popular songs to predict ratings based on auditory features of the songs included in scoringData.csv. (You may use linear regression, logistic regression, feature selection e.g. Lasso, decision tree or advance tree)
Metric
Submissions will be evaluated based on RMSE (root mean squared error) (Wikipedia). Lower the RMSE, better the model.
Submission File
The submission file should be in text format (.csv) with only two columns, id and rating. The rating column must contain predicted rating. The number of decimal places to use is up to you. The file should contain a header and have the following format:
"id","rating"
50400,37.3065
96747,37.1732
1824,36.9784
67597,36.9780
86944,36.8176
85423,37.0173