Not deleteting validation adjustment model

[pplonski]

After running the following code:

import numpy as np
import pandas as pd
from supervised.automl import AutoML

df = pd.read_csv("./tests/data/housing_regression_missing_values_missing_target.csv")
x_cols = [c for c in df.columns if c != "MEDV"]
X = df[x_cols]
y = df["MEDV"]


automl = AutoML(
    algorithms=["CatBoost"], 
    mode="Compete", 
    optuna_time_budget=10, 
    eval_metric="r2",
    kmeans_features=False,
    golden_features=False,
    mix_encoding=False,
    random_state=44)
automl.fit(X, y)
print("*********************")
df["predictions"] = automl.predict(X)
print("Predictions")
print(df[["MEDV", "predictions"]].head())

The Decision Tree model is present in the AutoML directory. It shouldn't. It was used for validation adjustment.