code: def plot_results(
      full_df: pd.DataFrame,
      target_column: int,
      forecast: np.array,
      forecast_horizon: int,
  ):
      """Display forecasted vs actual values"""
      target_df = full_df[full_df["label"] == target_column]
      datetime_xs = target_df["datetime"]
      plt.plot(
          datetime_xs.tail(3 * forecast_horizon),
          target_df["value"].tail(3 * forecast_horizon),
          label="Actual values",
      )
      plt.plot(
          datetime_xs.tail(forecast_horizon),
          forecast[-forecast_horizon:],
          label="Forecast",
      )
      plt.xlabel("Datetime", fontsize=13)
      plt.ylabel("Sea surface height, m", fontsize=13)
      plt.legend()
      plt.grid()
      plt.show()
  
file_path: FEDOT/cases/multivariate_ts_forecasting.py
imports: import matplotlib.pyplot
  import numpy
  import pandas
  from fedot import Fedot
  from fedot.core.repository.tasks import TsForecastingParams
  from fedot.core.utils import fedot_project_root
label_desc: Use image node_id 2 for calling a global function with example usage: plot_results(full_df, target_column, forecast, forecast_horizon) without return types