[2026-03-20T01:02:29.953Z] Running test renaissance-movie-lens_0 ... [2026-03-20T01:02:29.953Z] =============================================== [2026-03-20T01:02:29.953Z] renaissance-movie-lens_0 Start Time: Fri Mar 20 01:02:30 2026 Epoch Time (ms): 1773968550690 [2026-03-20T01:02:29.953Z] variation: NoOptions [2026-03-20T01:02:29.953Z] JVM_OPTIONS: [2026-03-20T01:02:29.953Z] { \ [2026-03-20T01:02:29.953Z] echo ""; echo "TEST SETUP:"; \ [2026-03-20T01:02:29.953Z] echo "Nothing to be done for setup."; \ [2026-03-20T01:02:29.953Z] mkdir -p "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17739661343113/renaissance-movie-lens_0"; \ [2026-03-20T01:02:29.953Z] cd "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17739661343113/renaissance-movie-lens_0"; \ [2026-03-20T01:02:29.953Z] echo ""; echo "TESTING:"; \ [2026-03-20T01:02:29.953Z] "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17739661343113/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-20T01:02:29.954Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17739661343113/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-20T01:02:29.954Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-20T01:02:29.954Z] echo "Nothing to be done for teardown."; \ [2026-03-20T01:02:29.954Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17739661343113/TestTargetResult"; [2026-03-20T01:02:29.954Z] [2026-03-20T01:02:29.954Z] TEST SETUP: [2026-03-20T01:02:29.954Z] Nothing to be done for setup. [2026-03-20T01:02:29.954Z] [2026-03-20T01:02:29.954Z] TESTING: [2026-03-20T01:02:31.917Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-20T01:02:31.917Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-20T01:02:31.917Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-20T01:02:31.917Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-20T01:05:29.285Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-03-20T01:05:51.431Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-20T01:05:52.387Z] Training: 60056, validation: 20285, test: 19854 [2026-03-20T01:05:52.387Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-20T01:05:52.387Z] GC before operation: completed in 175.416 ms, heap usage 1008.857 MB -> 76.326 MB. [2026-03-20T01:06:08.230Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:06:11.284Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:06:16.685Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:06:20.873Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:06:22.848Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:06:24.820Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:06:27.870Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:06:29.842Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:06:30.810Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:06:30.810Z] The best model improves the baseline by 14.43%. [2026-03-20T01:06:30.810Z] Top recommended movies for user id 72: [2026-03-20T01:06:30.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:06:30.810Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:06:30.810Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:06:30.810Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:06:30.810Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:06:30.810Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38798.528 ms) ====== [2026-03-20T01:06:30.810Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-20T01:06:30.810Z] GC before operation: completed in 258.276 ms, heap usage 1.946 GB -> 96.299 MB. [2026-03-20T01:06:35.003Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:06:38.601Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:06:44.017Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:06:47.059Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:06:49.030Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:06:50.995Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:06:54.030Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:06:56.005Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:06:56.961Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:06:56.962Z] The best model improves the baseline by 14.43%. [2026-03-20T01:06:56.962Z] Top recommended movies for user id 72: [2026-03-20T01:06:56.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:06:56.962Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:06:56.962Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:06:56.962Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:06:56.962Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:06:56.962Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25769.479 ms) ====== [2026-03-20T01:06:56.962Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-20T01:06:56.962Z] GC before operation: completed in 199.847 ms, heap usage 517.709 MB -> 90.918 MB. [2026-03-20T01:07:01.150Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:07:06.557Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:07:10.739Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:07:14.933Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:07:16.920Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:07:18.894Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:07:21.930Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:07:23.915Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:07:23.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:07:23.915Z] The best model improves the baseline by 14.43%. [2026-03-20T01:07:23.915Z] Top recommended movies for user id 72: [2026-03-20T01:07:23.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:07:23.915Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:07:23.915Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:07:23.915Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:07:23.915Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:07:23.915Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27239.163 ms) ====== [2026-03-20T01:07:23.915Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-20T01:07:24.872Z] GC before operation: completed in 204.392 ms, heap usage 2.274 GB -> 97.989 MB. [2026-03-20T01:07:28.269Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:07:32.442Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:07:36.635Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:07:39.879Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:07:41.852Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:07:43.818Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:07:46.849Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:07:49.926Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:07:49.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:07:49.926Z] The best model improves the baseline by 14.43%. [2026-03-20T01:07:49.926Z] Top recommended movies for user id 72: [2026-03-20T01:07:49.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:07:49.926Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:07:49.926Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:07:49.926Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:07:49.926Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:07:49.926Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25331.110 ms) ====== [2026-03-20T01:07:49.926Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-20T01:07:49.926Z] GC before operation: completed in 194.423 ms, heap usage 2.947 GB -> 98.373 MB. [2026-03-20T01:07:54.104Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:07:57.139Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:08:02.553Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:08:05.591Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:08:08.640Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:08:10.614Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:08:14.837Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:08:16.800Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:08:16.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:08:16.801Z] The best model improves the baseline by 14.43%. [2026-03-20T01:08:16.801Z] Top recommended movies for user id 72: [2026-03-20T01:08:16.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:08:16.801Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:08:16.801Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:08:16.801Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:08:16.801Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:08:16.801Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27013.905 ms) ====== [2026-03-20T01:08:16.801Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-20T01:08:17.758Z] GC before operation: completed in 203.144 ms, heap usage 508.771 MB -> 92.006 MB. [2026-03-20T01:08:21.165Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:08:24.210Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:08:28.391Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:08:32.584Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:08:34.553Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:08:36.531Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:08:39.570Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:08:41.539Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:08:41.539Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:08:42.497Z] The best model improves the baseline by 14.43%. [2026-03-20T01:08:42.497Z] Top recommended movies for user id 72: [2026-03-20T01:08:42.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:08:42.497Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:08:42.497Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:08:42.498Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:08:42.498Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:08:42.498Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24923.698 ms) ====== [2026-03-20T01:08:42.498Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-20T01:08:42.498Z] GC before operation: completed in 208.400 ms, heap usage 475.649 MB -> 92.451 MB. [2026-03-20T01:08:45.529Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:08:48.561Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:08:55.297Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:08:58.347Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:09:00.317Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:09:02.290Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:09:05.326Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:09:06.291Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:09:07.252Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:09:07.252Z] The best model improves the baseline by 14.43%. [2026-03-20T01:09:07.252Z] Top recommended movies for user id 72: [2026-03-20T01:09:07.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:09:07.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:09:07.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:09:07.252Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:09:07.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:09:07.252Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24697.996 ms) ====== [2026-03-20T01:09:07.252Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-20T01:09:07.252Z] GC before operation: completed in 183.675 ms, heap usage 2.767 GB -> 98.386 MB. [2026-03-20T01:09:10.303Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:09:13.788Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:09:23.559Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:09:27.749Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:09:28.715Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:09:30.690Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:09:33.725Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:09:35.698Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:09:35.698Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:09:35.698Z] The best model improves the baseline by 14.43%. [2026-03-20T01:09:35.698Z] Top recommended movies for user id 72: [2026-03-20T01:09:35.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:09:35.698Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:09:35.698Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:09:35.698Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:09:35.698Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:09:35.698Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28531.243 ms) ====== [2026-03-20T01:09:35.698Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-20T01:09:35.698Z] GC before operation: completed in 194.686 ms, heap usage 711.183 MB -> 96.015 MB. [2026-03-20T01:09:39.869Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:09:42.900Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:09:45.947Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:09:50.153Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:09:51.108Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:09:53.088Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:09:56.130Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:09:57.091Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:09:58.050Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:09:58.050Z] The best model improves the baseline by 14.43%. [2026-03-20T01:09:58.050Z] Top recommended movies for user id 72: [2026-03-20T01:09:58.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:09:58.050Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:09:58.050Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:09:58.050Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:09:58.050Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:09:58.050Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21955.026 ms) ====== [2026-03-20T01:09:58.050Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-20T01:09:58.050Z] GC before operation: completed in 184.142 ms, heap usage 2.932 GB -> 98.448 MB. [2026-03-20T01:10:01.074Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:10:04.458Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:10:08.627Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:10:11.663Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:10:12.634Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:10:14.613Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:10:17.648Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:10:19.657Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:10:19.657Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:10:19.657Z] The best model improves the baseline by 14.43%. [2026-03-20T01:10:19.657Z] Top recommended movies for user id 72: [2026-03-20T01:10:19.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:10:19.657Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:10:19.657Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:10:19.657Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:10:19.657Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:10:19.657Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21392.128 ms) ====== [2026-03-20T01:10:19.657Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-20T01:10:19.657Z] GC before operation: completed in 145.730 ms, heap usage 3.227 GB -> 98.725 MB. [2026-03-20T01:10:22.686Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:10:26.852Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:10:32.248Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:10:35.290Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:10:37.267Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:10:39.235Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:10:42.278Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:10:44.292Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:10:44.292Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:10:44.292Z] The best model improves the baseline by 14.43%. [2026-03-20T01:10:44.292Z] Top recommended movies for user id 72: [2026-03-20T01:10:44.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:10:44.292Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:10:44.292Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:10:44.292Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:10:44.292Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:10:44.292Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24712.293 ms) ====== [2026-03-20T01:10:44.292Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-20T01:10:44.292Z] GC before operation: completed in 142.741 ms, heap usage 748.497 MB -> 95.807 MB. [2026-03-20T01:10:47.321Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:10:50.373Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:10:55.981Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:11:00.160Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:11:01.118Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:11:03.081Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:11:05.050Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:11:07.022Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:11:07.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:11:07.979Z] The best model improves the baseline by 14.43%. [2026-03-20T01:11:07.979Z] Top recommended movies for user id 72: [2026-03-20T01:11:07.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:11:07.979Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:11:07.979Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:11:07.979Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:11:07.979Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:11:07.979Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23091.268 ms) ====== [2026-03-20T01:11:07.979Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-20T01:11:07.979Z] GC before operation: completed in 130.264 ms, heap usage 249.973 MB -> 92.179 MB. [2026-03-20T01:11:11.040Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:11:14.078Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:11:18.263Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:11:21.315Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:11:23.299Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:11:25.273Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:11:27.243Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:11:29.216Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:11:29.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:11:29.216Z] The best model improves the baseline by 14.43%. [2026-03-20T01:11:29.216Z] Top recommended movies for user id 72: [2026-03-20T01:11:29.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:11:29.216Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:11:29.216Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:11:29.216Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:11:29.216Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:11:29.216Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21768.394 ms) ====== [2026-03-20T01:11:29.216Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-20T01:11:30.175Z] GC before operation: completed in 131.977 ms, heap usage 506.345 MB -> 92.686 MB. [2026-03-20T01:11:33.384Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:11:36.424Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:11:41.818Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:11:44.858Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:11:46.898Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:11:47.865Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:11:50.897Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:11:52.870Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:11:52.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:11:52.870Z] The best model improves the baseline by 14.43%. [2026-03-20T01:11:52.870Z] Top recommended movies for user id 72: [2026-03-20T01:11:52.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:11:52.870Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:11:52.870Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:11:52.870Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:11:52.870Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:11:52.870Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23447.669 ms) ====== [2026-03-20T01:11:52.870Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-20T01:11:52.870Z] GC before operation: completed in 139.487 ms, heap usage 3.219 GB -> 98.644 MB. [2026-03-20T01:11:57.051Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:12:00.082Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:12:04.261Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:12:07.301Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:12:09.276Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:12:11.244Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:12:13.223Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:12:15.220Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:12:15.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:12:15.220Z] The best model improves the baseline by 14.43%. [2026-03-20T01:12:16.177Z] Top recommended movies for user id 72: [2026-03-20T01:12:16.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:12:16.177Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:12:16.177Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:12:16.177Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:12:16.177Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:12:16.177Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22443.517 ms) ====== [2026-03-20T01:12:16.177Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-20T01:12:16.177Z] GC before operation: completed in 143.642 ms, heap usage 2.686 GB -> 98.735 MB. [2026-03-20T01:12:19.221Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:12:22.257Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:12:27.678Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:12:30.712Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:12:32.901Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:12:33.862Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:12:39.432Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:12:42.468Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:12:42.468Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:12:42.468Z] The best model improves the baseline by 14.43%. [2026-03-20T01:12:42.468Z] Top recommended movies for user id 72: [2026-03-20T01:12:42.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:12:42.468Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:12:42.468Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:12:42.468Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:12:42.468Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:12:42.468Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26487.881 ms) ====== [2026-03-20T01:12:42.468Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-20T01:12:42.468Z] GC before operation: completed in 141.618 ms, heap usage 2.745 GB -> 98.633 MB. [2026-03-20T01:12:45.516Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:12:49.701Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:12:53.915Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:12:56.954Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:12:58.925Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:13:00.891Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:13:03.917Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:13:05.885Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:13:05.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:13:05.885Z] The best model improves the baseline by 14.43%. [2026-03-20T01:13:06.846Z] Top recommended movies for user id 72: [2026-03-20T01:13:06.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:13:06.846Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:13:06.846Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:13:06.846Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:13:06.846Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:13:06.846Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23921.518 ms) ====== [2026-03-20T01:13:06.846Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-20T01:13:06.846Z] GC before operation: completed in 134.458 ms, heap usage 3.264 GB -> 98.939 MB. [2026-03-20T01:13:09.888Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:13:12.938Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:13:18.359Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:13:21.768Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:13:22.729Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:13:24.698Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:13:30.125Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:13:32.086Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:13:32.086Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:13:32.086Z] The best model improves the baseline by 14.43%. [2026-03-20T01:13:32.086Z] Top recommended movies for user id 72: [2026-03-20T01:13:32.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:13:32.086Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:13:32.086Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:13:32.086Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:13:32.086Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:13:32.086Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25535.473 ms) ====== [2026-03-20T01:13:32.086Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-20T01:13:32.086Z] GC before operation: completed in 134.311 ms, heap usage 403.492 MB -> 92.262 MB. [2026-03-20T01:13:35.116Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:13:38.157Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:13:43.563Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:13:46.607Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:13:49.639Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:13:51.613Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:13:55.789Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:13:56.782Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:13:57.739Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:13:57.739Z] The best model improves the baseline by 14.43%. [2026-03-20T01:13:57.739Z] Top recommended movies for user id 72: [2026-03-20T01:13:57.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:13:57.739Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:13:57.739Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:13:57.739Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:13:57.739Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:13:57.739Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25286.605 ms) ====== [2026-03-20T01:13:57.739Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-20T01:13:57.739Z] GC before operation: completed in 127.766 ms, heap usage 2.691 GB -> 98.614 MB. [2026-03-20T01:14:00.781Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-20T01:14:03.815Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-20T01:14:09.395Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-20T01:14:12.428Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-20T01:14:14.402Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-20T01:14:16.377Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-20T01:14:19.414Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-20T01:14:21.391Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-20T01:14:21.392Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-20T01:14:21.392Z] The best model improves the baseline by 14.43%. [2026-03-20T01:14:21.392Z] Top recommended movies for user id 72: [2026-03-20T01:14:21.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-20T01:14:21.392Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-20T01:14:21.392Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-20T01:14:21.392Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-20T01:14:21.392Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-20T01:14:21.392Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23614.007 ms) ====== [2026-03-20T01:14:37.182Z] ----------------------------------- [2026-03-20T01:14:37.182Z] renaissance-movie-lens_0_PASSED [2026-03-20T01:14:37.182Z] ----------------------------------- [2026-03-20T01:14:37.182Z] [2026-03-20T01:14:37.182Z] TEST TEARDOWN: [2026-03-20T01:14:37.182Z] Nothing to be done for teardown. [2026-03-20T01:14:37.182Z] renaissance-movie-lens_0 Finish Time: Fri Mar 20 01:14:38 2026 Epoch Time (ms): 1773969278090