AI python question

False negative: When a data point is classified as a negative example(say class 0) but it is actually a positive example(belongs to class 1). False positive: When a data point is classified as a positive example(say class 1) but it is actually a negative example(belongs to class 0). True negative: When a data point is classified as a negative example(say class 0) and it is actually a negative example(belongs to class 0). True positive: When a data point is classified as a positive example(say class 1) and it is actually a positive example(belongs to class 1). Here the green (Refer link for image) shaded region is positive and red is negative. A hypothesis found is that circle which classifies data points inside it as positives and outside the circle as negative examples. https://www.quora.com/What-is-the-best-example-for-false-negative-false-positive-true-negative-and-true-positive-in-machine-learning