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

datapine

JANUARY 31, 2022

Chantrelle Nielsen director of research and strategy for Workplace analytics said: “companies must take these metrics and direct them thoughtfully towards the design of office spaces that maximize face time over just screen time.” 5) Find improvement opportunities through predictions. A great use case of this benefit is Uber.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. With this criterion in mind, we can define a distance metric to the top left corner of the curve and find a threshold that minimises it. The class label is titled Class where 0 denotes a genuine transaction and 1 signifies fraud. from imblearn.over_sampling import SMOTE. from datetime import datetime.

Statistics 69

Statistics Machine Learning Modeling Metrics 69