code: def train_basic_binary_classifier(df_titanic_train):
      column_descriptions = {
          "survived": "output",
          "sex": "categorical",
          "embarked": "categorical",
          "pclass": "categorical",
      }
  
      ml_predictor = Predictor(
          type_of_estimator="classifier",
          column_descriptions=column_descriptions,
      )
      ml_predictor.train(df_titanic_train)
  
      return ml_predictor
  
file_path: auto_ml/tests/utils_testing.py
imports: import sys, os
  import pandas
  from sklearn.datasets import load_boston
  from sklearn.metrics import brier_score_loss, mean_squared_error
  from sklearn.model_selection import train_test_split
  from auto_ml import Predictor
  import pandas
  import datetime
label_desc: Use image node_id 3 for calling a global function with example usage: train_basic_binary_classifier(df_titanic_train) and returns: ml_predictor