acf domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /var/www/contrabandpolicegame.com/data/www/contrabandpolicegame.com/wp-includes/functions.php on line 6131sweetcore domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /var/www/contrabandpolicegame.com/data/www/contrabandpolicegame.com/wp-includes/functions.php on line 6131# Split data into training and test sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# Feature scaling scaler = StandardScaler() X_train = scaler.fit_transform(X_train) X_test = scaler.transform(X_test) tinymodel ginger #63.zip
# Assume `data.csv` was extracted and you're working with it def prepare_features(data_path): try: data = pd.read_csv(data_path) # Assume the last column is the target variable X = data.iloc[:, :-1] y = data.iloc[:, -1] # Split data into training and test sets
return X_train, X_test, y_train, y_test except Exception as e: print(f"An error occurred: {e}") y_test = train_test_split(X
import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler