Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. Dua, D., & Graff, C.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Occam's Razor

SEPTEMBER 4, 2012

2009 was the year of mobile. If your company has a non-stinky mobile website and mobile app then congratulations: you have successfully solved the problem of 2009! I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. And travel is by no means unique; try any of your normal brands.

Marketing 144

Marketing Data mining Measurement Strategy 144

Domino Data Lab

AUGUST 1, 2021

but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. PDPs for the bicycle count prediction model (Molnar, 2009). Courville, Pascal Vincent, Visualizing Higher-Layer Features of a Deep Network, 2009. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363