Now that we have the official results, let’s take a look at how we did! All models are wrong, some are useful. Firstly, my model picked 85 songs as being in the top 100, so we missed 15. So did the Warmest 100 list. We got 4 exactly right, as… Read More
This is my last revised list for the Hottest 100. This list is generated using a more sophisticated method (yet again) after a discussion over Twitter I had with @chrisjrn about the kinds of bias there might be in the sample. I refined the list with three techniques. Firstly, I… Read More
I’ve done another couple of data matching runs, and I think I might have a more accurate one than the previous list. There are a couple of significant differences, which I think is due to the way the partial matching Nilsimsa hash works. Basically I’ve tuned the Nilsimsa hash cutoff… Read More
I’ve replicated the methods used by the Warmest 100 crew to check their results. I managed to collect 15,588 total votes compared with their 17,800, so my list will be slightly less accurate, thought I’ve used a slightly more complex matching technique than what @flossinspace did, so that might help… Read More
My article went live on iTNews late on Saturday night, and it got picked up by Slashdot yesterday. As we saw, the predicted results were as good as expected, and got more accurate the higher up the order we went. As promised, here’s a more detailed explanation of how I… Read More
