Reader small image

You're reading from  Interpretable Machine Learning with Python - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781803235424
Edition2nd Edition
Right arrow
Author (1)
Serg Masís
Serg Masís
author image
Serg Masís

Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a climate and agronomic data scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a start-up, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making—and machine learning interpretation helps bridge this gap robustly.
Read more about Serg Masís

Right arrow

Mission accomplished

The mission was to train a traffic prediction model and understand what factors create uncertainty and possibly increase costs for the construction company. We can conclude a significant portion of the potential $35,000/year in fines can be attributed to the is_holiday factor. Therefore, the construction company should rethink working holidays. There are only seven or eight holidays between March and November, and they could cost more because of the fines than working on a few Sundays instead. With this caveat, the mission was successful, but there’s still a lot of room for improvement.

Of course, these conclusions are for the LSTM_traffic_168_compact1 model – which we can compare with other models. Try replacing the model_name at the beginning of the notebook with LSTM_traffic_168_compact2, an equally small but significantly more robust model, or LSTM_traffic_168_optimal, a larger slightly better-performing model, and re-running the notebook...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Interpretable Machine Learning with Python - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781803235424

Author (1)

author image
Serg Masís

Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a climate and agronomic data scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a start-up, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making—and machine learning interpretation helps bridge this gap robustly.
Read more about Serg Masís