Entry 32: Modeling data
The challenge in this, the third series of entries, is to become familiar with the major categories of algorithms, how to implement them, determine the commo...
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Entry 31: Training Size
At the very end of Entry 30 I mentioned that learning curves can be used to diagnose problems other than just high bias and high variance. Another easy probl...
Entry 30: Improve Performance - Learning Curves
Learning curves can help determine what avenues to pursue if a model isn’t up to expectations, or worse, is completely unusable. They can also be used to det...
Entry 29: Thresholds - Profit and cost
Sometimes considerations other than model performance need to be accounted for when choosing a threshold.
Entry 28: Cumulative gains and lift
Remember back in Entry 16 when I said I wasn’t planning to cover lift? Well, plans change.