2016, Data Collection, Metrics and Predictive Modeling

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). Intrinsic methods – this technique is based on ANNs that have been designed to output an explanation alongside the standard prediction. PDPs for the bicycle count prediction model (Molnar, 2009). Creating a PDP for our model is fairly straightforward.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

Domino Data Lab

OCTOBER 23, 2019

The first step to collecting all of the data is to figure out which data source to collect first, and where to get it. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 35,vjust=1).

Statistics

Statistics Machine Learning Testing Modeling

Data Leaders Brief

Explaining black-box models using attribute importance, PDPs, and LIME

Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

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