Domino Data Lab

AUGUST 1, 2021

Model distillation – this approach builds a separate explainable model that mimics the input-output behaviour of the deep network. Because this separate model is essentially a white-box, it can be used for extraction of rules that explain the decisions behind the ANN. Creating a PDP for our model is fairly straightforward.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. First, we define a function that will perform a grid search for the optimal hyperparameters of the classifier. In highly unbalanced datasets this interpretation could lead to poor predictions. Selecting the optimal threshold value can be performed in a number of ways. 0.01, 0.001] }.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

datapine

JANUARY 31, 2022

This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes. 5) Find improvement opportunities through predictions. Let’s see it with a real-world example. A great use case of this benefit is Uber.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214