Blog entries

Falling Man

Prophet vs BSTS

179 300 Sisifo's Page prophet vs bsts, time series prediction, MineThatData forecasting challenge 3 January 2021

Can a model like prophet, far simpler to fit compared to BSTS, have similar results in accuracy? Let's use the winning solution of MineThatData Forecasting Challenge, with BSTS, as a scenario for comparison.

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Work In Progress

Work in progress - new posts

179 300 Sisifo's Page pulsioximeter prediction, deep learning time series, data augmentation time series, desaturation alarm prediction, pulsioximeter deep learning, deep learning time series data augmentation Visualization of Association Rules, R code, netCoin R package, frequent itemsets, visualization frequent itemsets, apriori, interpretation a priori 4 Jan 2020

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In the meantime, find below links to the most recent posts:

Falling Man

Uplift modeling: what if the split between treatment and control is not random

179 300 Sisifo's Page Uplift modeling, not random split treatment and control groups, problems with uplift, negative qini, negative gain, bad uplift classifier 12 Sep 2018

Uplift modeling does not work well when the split between targeted and not targeted customers is not done at random. The problem was raised by a reader of a previous post; reproduced now with a public dataset. Symptoms: Qini area is negative, but otherwise the diagnosis for the classifier is ok. It includes code in R and a dataset, so that it may be used as a tutorial.

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