Calmcode - scikit metrics: Score

This is the code used run the gridsearch.

from sklearn.model_selection import GridSearchCV
from sklearn.metrics import precision_score, recall_score, make_scorer

grid = GridSearchCV(
    estimator=LogisticRegression(max_iter=1000),
    param_grid={'class_weight': [{0: 1, 1: v} for v in range(1, 4)]},
    cv=4,
    n_jobs=-1
)
grid.fit(X, y);

This is the code to view the results.

pd.DataFrame(grid.cv_results_)