Predict rainfall in the African Sahel region with various machine learning and deep learning methods.
# predict_sahel_rainfall
Predict rainfall in the African Sahel region with various machine learning and deep learning methods.
Results are shown separately for each ESM (CESM and FOCI) and lead time (0 / 1 / 3 / 6 months), ordered by mean squared error of predicted vs. true target.
## CESM
### lead 0
| Model | Author | Description | mse (test) | correl (test) |
| :--- | :---: | :--- | :---: | :---: |
| lin. reg. | Marco | all inputs except PREC_SAHEL, normalized | 0.854 | 0.475 |
### lead 1
| Model | Author | Description | mse (test) | correl (test) |
| :--- | :---: | :--- | :---: | :---: |
| CNN/fc | Marco | all inputs | 0.995 | 0.317 |
| lin. reg. | Marco | all inputs, normalized | 1.003 | 0.304 |
| CNN/fc | Marco | univariate | 1.064 | 0.192 |
### lead 3
| Model | Author | Description | mse (test) | correl (test) |
| :--- | :---: | :--- | :---: | :---: |
| lin. reg. | Marco | all inputs, normalized | 1.061 | 0.2 |
### lead 6
| Model | Author | Description | mse (test) | correl (test) |
| :--- | :---: | :--- | :---: | :---: |
| lin. reg. | Marco | all inputs, normalized | 1.064 | 0.19 |
## FOCI
### lead 0
| Model | Author | Description | mse (test) | correl (test) |
| :--- | :---: | :--- | :---: | :---: |
| lin. reg. | Marco | all inputs except PREC_SAHEL, normalized | 0.7 | 0.384 |
### lead 1
| Model | Author | Description | mse (test) | correl (test) |
| :--- | :---: | :--- | :---: | :---: |
| lin. reg. | Marco | all inputs, normalized | 0.776 | 0.234 |
### lead 3
| Model | Author | Description | mse (test) | correl (test) |
| :--- | :---: | :--- | :---: | :---: |
| lin. reg. | Marco | all inputs, normalized | 0.802 | 0.144 …