code: def portfolio_base():
      base = [
          LogisticRegression(
              C=1, solver="lbfgs", multi_class="multinomial"
          ),
          LogisticRegression(
              C=10, solver="lbfgs", multi_class="multinomial"
          ),
          LogisticRegression(
              C=0.1, solver="lbfgs", multi_class="multinomial"
          ),
          RandomForestClassifier(max_features=None, n_estimators=100),
          RandomForestClassifier(max_features="sqrt", n_estimators=100),
          RandomForestClassifier(max_features="log2", n_estimators=100),
          SVC(C=1, gamma=0.03, kernel="rbf"),
          SVC(C=1, gamma="scale", kernel="rbf"),
          HistGradientBoostingClassifier(),
      ]
      return base
  
imports: from sklearn.linear_model import LogisticRegression
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.ensemble import HistGradientBoostingClassifier
  from sklearn.svm import SVC
label_desc: Use image node_id 1 for calling a global function with example usage: portfolio_base() and returns: base