From Data To Insights – A game-theoretic approach to break down ML models into individual predictions

Name: From Data To Insights – A game-theoretic approach to break down ML models into individual predictions
Start: 2022-02-15T11:00:00+01:00
End: 2022-02-15T11:30:00+01:00
Location: Exclusivement au Pavillon d'armenonville - Paris 16e

Feb 15, 2022 | 11:00 AM CET - 11:30 AM CET

Description

With Exasol’s database we can accelerate our data science workflow by allowing our analytics teams to build complex machine learning models using Python. But what if we want to break the model down into an individual prediction? In this masterclass, we will show you how we use SHAP (SHapley Additive exPlanations), a game-theoretic approach to explain the output of any machine learning model. By breaking down a prediction we can show the impact of each feature and explain individual predictions of a customer experience score.

From Data To Insights – A game-theoretic approach to break down ML models into individual predictions

Feb 15, 2022 | 11:00 AM CET - 11:30 AM CET

Description

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