intial commit (forked from private repo)

extracted_cells/cell11.py

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+# Random Forest Modell trainieren
+rf_model = RandomForestClassifier(n_estimators=100, random_state=42)
+rf_model.fit(X_train, y_train)
+
+# Vorhersagen für die Testdaten
+y_pred = rf_model.predict(X_test)
+
+# Modellleistung evaluieren
+accuracy = accuracy_score(y_test, y_pred)
+precision = precision_score(y_test, y_pred)
+recall = recall_score(y_test, y_pred)
+f1 = f1_score(y_test, y_pred)
+
+print(f"Accuracy: {accuracy:.4f}")
+print(f"Precision: {precision:.4f}")
+print(f"Recall: {recall:.4f}")
+print(f"F1 Score: {f1:.4f}")