  An ML model based on precomputed per-channel SCI is proposed. Due to its
superior accuracy over closed-form GN, an average SNR gain of 1.1 dB in an
end-to-end link optimization and a 40% reduction in required lightpaths to meet
traffic requests in a network planning scenario are shown.
