Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. When the data is combined, it seems that the drug reduces the risk of getting a heart attack. In addition, men are at a greater risk of having a heart attack, overall. It also reduced their risk of heart attack.

Testing 104

Testing Risk Data-driven Statistics 104

CIO Business Intelligence

SEPTEMBER 6, 2022

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. It’ being everything from how they collect and measure data, to how they understand it and their own glossary. We’re picking off the highest potential value and highest risk areas,” he says.

IT 89

IT Forecasting Data Lake Enterprise 89

CIO Business Intelligence

NOVEMBER 7, 2022

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.”

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

Domino Data Lab

MAY 20, 2021

This renders measures like classification accuracy meaningless. Their tests are performed using C4.5-generated This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. The use of multiple measurements in taxonomic problems. Chawla et al., 1998) and others).

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 1, 2021

This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. After forming the X and y variables, we split the data into training and test sets. This is to be expected, as there is no reason for a perfect 50:50 separation of the good vs. bad credit risk. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case.

Statistics 363

Statistics Advertising Visualization Data mining 363