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# Choosing k on half of the queries and scoring it on the other half
candidates per list: 20. The 60 queries are split by position into two folds of 30; k comes from {1, 10, 60, 200}.
--- fold 1: train on 30, test on 30 ---
k chosen on the training half (best MRR@10 0.872): 1
held-out half, k=1 : 22/30 29/30 0.831
held-out half, k=60 : 24/30 28/30 0.859
held-out half, vector only: 21/30 30/30 0.831
--- fold 2: train on 30, test on 30 ---
k chosen on the training half (best MRR@10 0.859): 60
held-out half, k=60 : 22/30 27/30 0.794
held-out half, k=60 : 22/30 27/30 0.794
held-out half, vector only: 20/30 25/30 0.733