Due to logic error in code previous results was just functioning as jus gvpl (no aflow). See 8c89a24.

…#90

To evaluate sequence length vs mse

…cript #90

For plotting sequence length vs mse

Underwhelming peformance, ESM didnt help at all with GVPL_aflow model

Accounting for error in aflow not being used.

Example usage:
```python
#%% now based on this test set we can create the splits that will be used for all models
# 5-fold cross validation + test set
import pandas as pd
from src import cfg
from src.train_test.splitting import balanced_kfold_split
from src.utils.loader import Loader

test_df = pd.read_csv('/home/jean/projects/data/splits/davis_test_genes_oncoG.csv')
test_prots = set(test_df.prot_id)

db = Loader.load_dataset(f'{cfg.DATA_ROOT}/DavisKibaDataset/davis/nomsa_binary_original_binary/full/')

#%%
train, val, test = balanced_kfold_split(db,
                k_folds=5, test_split=0.1, val_split=0.1,
                test_prots=test_prots, random_seed=0, verbose=True
                )

#%%
db.save_subset_folds(train, 'train')
db.save_subset_folds(val, 'val')
db.save_subset(test, 'test')
```

#112

still need to train esm variants to complete #113 for davis