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Machine Learning Applications in Ecommerce Price Prediction
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Machine Learning Applications in Ecommerce Price Prediction

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Questions and Answers

What was the main objective of the research?

To compare and evaluate the effectiveness of various ML algorithms in predicting product prices in e-commerce.

What were the key attributes meticulously gathered and preprocessed for the study?

Product category, brand, seller information, ratings, and price history.

How many different ML algorithms were applied and evaluated in the research?

Six

What were the standard error metrics used to rigorously test each ML model?

<p>Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE).</p> Signup and view all the answers

What type of data was employed from the online marketplace for the research?

<p>A comprehensive dataset encompassing a diverse range of products.</p> Signup and view all the answers

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