code: def test_fit_predict(self):
      metric = Metric({"name": "logloss"})
      params = {"ml_task": "binary_classification"}
      la = KNeighborsAlgorithm(params)
  
      la.fit(self.X, self.y)
      y_predicted = la.predict(self.X)
      self.assertTrue(metric(self.y, y_predicted) < 0.6)
  
imports: import unittest
  import tempfile
  import json
  import numpy
  import pandas
  from numpy.testing import assert_almost_equal
  from sklearn import datasets
  from supervised.algorithms.knn import KNeighborsAlgorithm, KNeighborsRegressorAlgorithm
  from supervised.utils.metric import Metric
  import tempfile
label_desc: Use image node_id 3 for calling the KNeighborsAlgorithmTest obj's underlying member method code with example usage: obj.test_fit_predict() without return types