
Prophet vs BSTS
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.
Read More →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.
Read More →
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In the meantime, find below links to the most recent posts:
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.
Read More →The challenge: forecasting the next 3 months of a target time series that contains data of sales of an unknown company. Markdown for R code.
Read More →