Developer discovers high R2 score is illusion from sorting unrelated random data.
A developer created a model using 1,000 randomly generated speed and distance values, achieving a near-perfect R2 score of 0.9993. This result was impossible as the speed and distance data were generated independently with no inherent relationship. The high score was solely an artifact of sorting both data arrays separately before pairing them, which artificially created a monotonic pattern. The model's correlation and R2 score fell to near zero when the data was paired randomly, revealing the flaw. The developer now stresses the critical importance of understanding how synthetic data is assembled before trusting model metrics.
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