import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, confusion_matrix, classification_report
from sklearn.preprocessing import LabelEncoder
from sklearn.tree import plot_tree

# Daten einlesen
df = pd.read_csv("./sample_data/adult_census_income/adult.csv")

# Anzeigen der ersten Zeilen des Datensatzes
df.head(10)