90% accuracy misses the mark

Let me tell you the story of a data scientist intern, so happy to use machine learning algorithms on real-life data after a year studying Iris dataset, comparing Sepal.length and Petal.width.

This intern was assigned his first task in his new company. From browsing data, predict the probability for a visitor to come back on the website within the day. The goal of this prediction was to propose a different experience for a user who’s likely to come back.

Clic, clic, clic, shift+Enter : Notebook cell launched, algorithm doing his magic, accuracy calculating…

After a…

Beranger Natanelic

Future Unicorn Founder — Using tech for good

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