import sklearn
from sklearn.datasets import make_classification
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import balanced_accuracy_score, confusion_matrix
from sklearn.model_selection import TunedThresholdClassifierCV, train_test_split

X, y = make_classification(
    n_samples=1_200,
    n_features=12,
    n_informative=5,
    weights=[0.86, 0.14],
    class_sep=0.7,
    random_state=42,
)