code: def dataset():
      np.random.seed(42)
      return np.random.normal(0, 1, (2000, 2))
  
file_path: scikit-lego/tests/test_meta/test_outlier_classifier.py
imports: import numpy
  import pytest
  from sklearn.ensemble import IsolationForest
  from sklearn.linear_model import LinearRegression
  from sklearn.neighbors import LocalOutlierFactor
  from sklearn.svm import OneClassSVM
  from sklego.common import flatten
  from sklego.meta import OutlierClassifier
  from sklego.mixture import GMMOutlierDetector
  from tests.conftest import general_checks, select_tests
label_desc: Use image node_id 2 for calling a global function with example usage: dataset() and returns: np