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Actual way this experiment should work: feed the recurrent NN with stock markets data from the latest 10 years but the latest year. Then display the prediction
by antirez 9y ago
Actual way this experiment should work: feed the recurrent NN with stock markets data from the latest 10 years but the latest year. Then display the prediction for the latest year and the actual data. I want to see if it will match like that...
- turingcompeteme 9y agoPredicting for only the last year is good, but there are two even better ways: - An expanding window where you train on the first year of data and predict the second. Then train on the first two years and predict the third, etc. - A rolling window where you train on years 1 and 2 and predict 3. Then train on 2 and 3 and predict 4, etc. You need to show that your predictions work for any time period, not just the past year.
- bduerst 9y agoYou'll see things like the global recession recovery and other major outliers skewing your data.