code: def eval_embedding(self, embedding, y, method_name=None):
      knn = KNeighborsClassifier(n_neighbors=10)
      knn.fit(embedding, y)
      predictions = knn.predict(embedding)
      self.assertGreater(
          accuracy_score(predictions, y), 0.94, msg=method_name
      )
  
imports: import unittest
  from functools import partial
  import numpy
  from scipy.spatial.distance import pdist, squareform, cdist
  from sklearn import datasets
  from sklearn.metrics import accuracy_score
  from sklearn.neighbors import KNeighborsClassifier, NearestNeighbors
  import openTSNE
  from openTSNE import affinity, initialization, nearest_neighbors, TSNEEmbedding
label_desc: Use image node_id 2 for calling the TestUsage obj's underlying member method code with example usage: obj.eval_embedding(embedding, y, method_name) without return types