code: def f075_macro(y_true, y_pred):
      return fbeta_score(y_true, y_pred, beta=0.75, average="macro")
  
file_path: skll/tests/other/custom_metrics.py
imports: from sklearn.metrics import average_precision_score, f1_score, fbeta_score, precision_score, r2_score, roc_auc_score
label_desc: Use image node_id 1 for calling a global function with example usage: f075_macro(y_true, y_pred) and returns: fbeta_score