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. Offsetting the threshold (threshold moving) is a standard technique for improving the predictions by finding an optimal interpretation of the probabilities produced by the classifier.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

FEBRUARY 22, 2010

The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. Check the definitions of various metrics. For example, if you see a metric called Cookies, find out exactly what that metric means before you use the data.

Metrics 123

Metrics Advertising Reporting Software 123

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. PLFs have two useful properties that we take advantage of. and Gupta, M.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

MAY 8, 2019

If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. PSL models are easy to use and fast.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. This company was originally founded in 2009 as a black car-hailing service in San Francisco. Let’s see it with a real-world example.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. PDPs for the bicycle count prediction model (Molnar, 2009). Courville, Pascal Vincent, Visualizing Higher-Layer Features of a Deep Network, 2009. Ribeiro, M. Guestrin, C.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139