def formalize_table_neural_experiments(name, d):
    """ Takes the data from find_best_f1 and parses it, and returns an array with name + performance. """
    if (d is None):
        return [name, 0, 0, 0, 0]
    
    best_f1, best_acc, best_prc, best_rc = d["f1"], d["acc"], d["precision"], d['recall']
    best_f1, best_acc, best_prc, best_rc = ["{:.2f}".format(float(inst)) for inst in [best_f1, best_acc, best_prc, best_rc]]
    return [name, best_f1, best_acc, best_prc, best_rc]