Cool to see that you created a notebook and are publishing this like a paper. I was thinking of doing some projects and this looks like a good format to follow.
However, this looks to be grossly overfitting. You can't just randomly drop out samples in a time series and use those for the test dataset. You need to cut out larger contiguous sequential time ranges and reserve those for your test set. Probably a single contiguous time window.
Anyone can predict with a high degree of accuracy what stock price is given the last 5 days and the next 5 days.
Predicting a few randomly dropped out pixels in that graph is really easy due to the nature of time series. You can just interpolate it.
However, this looks to be grossly overfitting. You can't just randomly drop out samples in a time series and use those for the test dataset. You need to cut out larger contiguous sequential time ranges and reserve those for your test set. Probably a single contiguous time window.
Anyone can predict with a high degree of accuracy what stock price is given the last 5 days and the next 5 days.
Predicting a few randomly dropped out pixels in that graph is really easy due to the nature of time series. You can just interpolate it.