Part 12/16:
Testing on Google's own Borg cluster yields astonishing results, achieving a Spearman correlation of up to 0.99 and an average around 0.9. Its mean squared error surpasses traditional models by a hundredfold, providing highly accurate forecasts of system behavior. Crucially, RLM also estimates uncertainty, leveraging multiple output samples to gauge prediction confidence. Such probabilistic insights are vital for robust decision-making, troubleshooting, and optimization.