Incorrect label cast to integer

[paxcema]

As reported by community. Using the Titanic dataset and one of {F1 score, recall, precision}. From MindsDB:

CREATE PREDICTOR mindsdb.titanic1
FROM files                      
(SELECT * FROM titanic)              
PREDICT Survived
USING
    accuracy_functions="['f1_score']";

Triggers the following error:

ValueError: pos_label=1 is not a valid label. It should be one of ['0', '1'], raised at: /usr/local/lib/python3.8/dist-packages/mindsdb/integrations/libs/ml_exec_base.py#135

Normal accuracy, balanced accuracy or roc auc score work okay.

Note: there is an additional issue with metrics that require parameter definition, like F1 score. Support for this is at the mindsdb_sql/mindsdb level (see respective issue for this).