Tag Archives: Leekasso

Sunday data/statistics link roundup (4/8)

Posted on April 9, 2012 by admin

This is a great article about the illusion of progress in machine learning. In part, I think it explains why the Leekasso (just using the top 10) isn’t a totally silly idea. I also love how he talks about sources of … Continue reading →

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Prediction: the Lasso vs. just using the top 10 predictors

Posted on February 23, 2012 by admin

One incredibly popular tool for the analysis of high-dimensional data is the lasso. The lasso is commonly used in cases when you have many more predictors than independent samples (the n « p) problem. It is also often used in the … Continue reading →

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