[2026-03-05T20:47:16.215Z] Running test renaissance-movie-lens_0 ... [2026-03-05T20:47:16.215Z] =============================================== [2026-03-05T20:47:16.215Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 15:47:14 2026 Epoch Time (ms): 1772743634907 [2026-03-05T20:47:16.215Z] variation: NoOptions [2026-03-05T20:47:16.215Z] JVM_OPTIONS: [2026-03-05T20:47:16.215Z] { \ [2026-03-05T20:47:16.215Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T20:47:16.215Z] echo "Nothing to be done for setup."; \ [2026-03-05T20:47:16.215Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727407812599/renaissance-movie-lens_0"; \ [2026-03-05T20:47:16.215Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727407812599/renaissance-movie-lens_0"; \ [2026-03-05T20:47:16.215Z] echo ""; echo "TESTING:"; \ [2026-03-05T20:47:16.215Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727407812599/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T20:47:16.215Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727407812599/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T20:47:16.215Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T20:47:16.215Z] echo "Nothing to be done for teardown."; \ [2026-03-05T20:47:16.215Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727407812599/TestTargetResult"; [2026-03-05T20:47:16.215Z] [2026-03-05T20:47:16.215Z] TEST SETUP: [2026-03-05T20:47:16.215Z] Nothing to be done for setup. [2026-03-05T20:47:16.215Z] [2026-03-05T20:47:16.215Z] TESTING: [2026-03-05T20:47:42.117Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T20:48:19.225Z] 15:48:15.764 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T20:48:26.965Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T20:48:29.486Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T20:48:29.486Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T20:48:30.616Z] GC before operation: completed in 1524.787 ms, heap usage 450.577 MB -> 74.694 MB. [2026-03-05T20:49:22.896Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T20:49:55.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T20:50:17.045Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T20:50:35.124Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T20:50:46.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T20:51:01.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T20:51:12.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T20:51:25.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T20:51:27.107Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T20:51:27.107Z] The best model improves the baseline by 14.52%. [2026-03-05T20:51:28.158Z] Top recommended movies for user id 72: [2026-03-05T20:51:28.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T20:51:28.158Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T20:51:28.158Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T20:51:28.158Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T20:51:28.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T20:51:28.159Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (176995.959 ms) ====== [2026-03-05T20:51:28.159Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T20:51:29.147Z] GC before operation: completed in 1180.692 ms, heap usage 495.029 MB -> 88.953 MB. [2026-03-05T20:51:50.681Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T20:52:17.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T20:52:33.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T20:52:52.534Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T20:53:03.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T20:53:14.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T20:53:25.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T20:53:36.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T20:53:36.839Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T20:53:36.839Z] The best model improves the baseline by 14.52%. [2026-03-05T20:53:37.907Z] Top recommended movies for user id 72: [2026-03-05T20:53:37.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T20:53:37.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T20:53:37.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T20:53:37.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T20:53:37.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T20:53:37.907Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (129100.525 ms) ====== [2026-03-05T20:53:37.907Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T20:53:38.470Z] GC before operation: completed in 407.938 ms, heap usage 158.046 MB -> 87.525 MB. [2026-03-05T20:54:00.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T20:54:23.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T20:54:42.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T20:55:01.336Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T20:55:10.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T20:55:22.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T20:55:33.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T20:55:44.812Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T20:55:46.755Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T20:55:46.755Z] The best model improves the baseline by 14.52%. [2026-03-05T20:55:47.401Z] Top recommended movies for user id 72: [2026-03-05T20:55:47.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T20:55:47.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T20:55:47.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T20:55:47.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T20:55:47.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T20:55:47.401Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (128765.491 ms) ====== [2026-03-05T20:55:47.401Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T20:55:49.152Z] GC before operation: completed in 1467.073 ms, heap usage 396.367 MB -> 88.510 MB. [2026-03-05T20:56:07.727Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T20:56:22.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T20:56:41.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T20:57:04.400Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T20:57:11.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T20:57:23.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T20:57:32.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T20:57:43.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T20:57:43.652Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T20:57:43.652Z] The best model improves the baseline by 14.52%. [2026-03-05T20:57:44.120Z] Top recommended movies for user id 72: [2026-03-05T20:57:44.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T20:57:44.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T20:57:44.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T20:57:44.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T20:57:44.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T20:57:44.120Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (115562.270 ms) ====== [2026-03-05T20:57:44.120Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T20:57:46.090Z] GC before operation: completed in 1480.799 ms, heap usage 222.436 MB -> 88.540 MB. [2026-03-05T20:58:08.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T20:58:36.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T20:58:51.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T20:59:08.215Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T20:59:19.793Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T20:59:28.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T20:59:37.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T20:59:46.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T20:59:46.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T20:59:46.446Z] The best model improves the baseline by 14.52%. [2026-03-05T20:59:46.855Z] Top recommended movies for user id 72: [2026-03-05T20:59:46.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T20:59:46.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T20:59:46.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T20:59:46.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T20:59:46.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T20:59:46.855Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (121097.670 ms) ====== [2026-03-05T20:59:46.855Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T20:59:47.311Z] GC before operation: completed in 428.253 ms, heap usage 495.767 MB -> 88.815 MB. [2026-03-05T21:00:05.802Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:00:24.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:00:37.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:00:56.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:01:06.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:01:13.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:01:29.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:01:36.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:01:37.591Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:01:37.591Z] The best model improves the baseline by 14.52%. [2026-03-05T21:01:38.073Z] Top recommended movies for user id 72: [2026-03-05T21:01:38.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:01:38.073Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:01:38.073Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:01:38.073Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:01:38.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:01:38.073Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (110641.628 ms) ====== [2026-03-05T21:01:38.073Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T21:01:38.534Z] GC before operation: completed in 417.877 ms, heap usage 310.365 MB -> 88.951 MB. [2026-03-05T21:02:00.888Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:02:16.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:02:35.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:02:50.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:02:59.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:03:09.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:03:18.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:03:26.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:03:29.484Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:03:29.484Z] The best model improves the baseline by 14.52%. [2026-03-05T21:03:29.957Z] Top recommended movies for user id 72: [2026-03-05T21:03:29.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:03:29.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:03:29.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:03:29.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:03:29.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:03:29.957Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (111269.807 ms) ====== [2026-03-05T21:03:29.957Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T21:03:30.623Z] GC before operation: completed in 527.017 ms, heap usage 465.562 MB -> 89.096 MB. [2026-03-05T21:03:49.312Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:04:08.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:04:23.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:04:50.601Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:04:55.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:05:06.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:05:17.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:05:25.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:05:27.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:05:27.142Z] The best model improves the baseline by 14.52%. [2026-03-05T21:05:27.142Z] Top recommended movies for user id 72: [2026-03-05T21:05:27.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:05:27.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:05:27.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:05:27.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:05:27.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:05:27.142Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (116978.225 ms) ====== [2026-03-05T21:05:27.142Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T21:05:27.577Z] GC before operation: completed in 510.556 ms, heap usage 351.186 MB -> 90.000 MB. [2026-03-05T21:05:46.274Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:06:04.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:06:19.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:06:38.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:06:53.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:07:00.531Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:07:11.989Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:07:19.561Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:07:21.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:07:21.419Z] The best model improves the baseline by 14.52%. [2026-03-05T21:07:21.919Z] Top recommended movies for user id 72: [2026-03-05T21:07:21.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:07:21.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:07:21.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:07:21.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:07:21.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:07:21.919Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (114112.002 ms) ====== [2026-03-05T21:07:21.919Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T21:07:22.344Z] GC before operation: completed in 537.694 ms, heap usage 550.955 MB -> 89.277 MB. [2026-03-05T21:07:44.516Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:07:59.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:08:18.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:08:31.380Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:08:38.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:08:47.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:08:59.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:09:08.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:09:10.015Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:09:10.015Z] The best model improves the baseline by 14.52%. [2026-03-05T21:09:11.164Z] Top recommended movies for user id 72: [2026-03-05T21:09:11.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:09:11.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:09:11.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:09:11.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:09:11.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:09:11.164Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (108543.207 ms) ====== [2026-03-05T21:09:11.164Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T21:09:11.618Z] GC before operation: completed in 669.384 ms, heap usage 343.492 MB -> 89.180 MB. [2026-03-05T21:09:37.610Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:09:52.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:10:14.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:10:33.628Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:10:42.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:10:50.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:11:01.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:11:10.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:11:11.886Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:11:12.599Z] The best model improves the baseline by 14.52%. [2026-03-05T21:11:13.220Z] Top recommended movies for user id 72: [2026-03-05T21:11:13.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:11:13.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:11:13.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:11:13.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:11:13.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:11:13.221Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (121372.724 ms) ====== [2026-03-05T21:11:13.221Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T21:11:14.217Z] GC before operation: completed in 1021.989 ms, heap usage 564.997 MB -> 92.437 MB. [2026-03-05T21:11:32.646Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:11:54.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:12:07.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:12:26.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:12:35.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:12:46.974Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:12:56.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:13:06.517Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:13:08.201Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:13:08.645Z] The best model improves the baseline by 14.52%. [2026-03-05T21:13:08.645Z] Top recommended movies for user id 72: [2026-03-05T21:13:08.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:13:08.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:13:08.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:13:08.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:13:08.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:13:08.645Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (114846.978 ms) ====== [2026-03-05T21:13:08.645Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T21:13:09.131Z] GC before operation: completed in 497.009 ms, heap usage 566.563 MB -> 92.760 MB. [2026-03-05T21:13:31.420Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:13:50.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:14:06.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:14:22.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:14:34.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:14:47.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:14:56.949Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:15:10.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:15:12.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:15:12.002Z] The best model improves the baseline by 14.52%. [2026-03-05T21:15:12.532Z] Top recommended movies for user id 72: [2026-03-05T21:15:12.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:15:12.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:15:12.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:15:12.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:15:12.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:15:12.532Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (123151.193 ms) ====== [2026-03-05T21:15:12.532Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T21:15:12.996Z] GC before operation: completed in 507.753 ms, heap usage 311.416 MB -> 89.213 MB. [2026-03-05T21:15:35.135Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:15:53.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:16:12.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:16:23.345Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:16:32.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:16:42.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:16:54.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:17:06.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:17:07.198Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:17:07.685Z] The best model improves the baseline by 14.52%. [2026-03-05T21:17:08.152Z] Top recommended movies for user id 72: [2026-03-05T21:17:08.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:17:08.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:17:08.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:17:08.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:17:08.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:17:08.152Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (114977.207 ms) ====== [2026-03-05T21:17:08.152Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T21:17:08.580Z] GC before operation: completed in 483.211 ms, heap usage 251.211 MB -> 88.964 MB. [2026-03-05T21:17:30.257Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:17:52.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:18:19.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:18:34.781Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:18:43.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:18:51.869Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:19:01.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:19:15.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:19:15.462Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:19:15.462Z] The best model improves the baseline by 14.52%. [2026-03-05T21:19:16.031Z] Top recommended movies for user id 72: [2026-03-05T21:19:16.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:19:16.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:19:16.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:19:16.031Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:19:16.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:19:16.031Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (127483.628 ms) ====== [2026-03-05T21:19:16.031Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T21:19:16.487Z] GC before operation: completed in 515.735 ms, heap usage 544.859 MB -> 91.781 MB. [2026-03-05T21:19:39.171Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:19:58.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:20:18.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:20:36.794Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:20:45.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:20:53.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:21:03.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:21:14.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:21:14.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:21:14.965Z] The best model improves the baseline by 14.52%. [2026-03-05T21:21:16.054Z] Top recommended movies for user id 72: [2026-03-05T21:21:16.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:21:16.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:21:16.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:21:16.054Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:21:16.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:21:16.054Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (119451.947 ms) ====== [2026-03-05T21:21:16.054Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T21:21:16.580Z] GC before operation: completed in 432.172 ms, heap usage 438.466 MB -> 89.219 MB. [2026-03-05T21:21:44.318Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:22:02.818Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:22:18.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:22:37.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:22:48.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:22:55.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:23:07.072Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:23:14.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:23:15.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:23:15.774Z] The best model improves the baseline by 14.52%. [2026-03-05T21:23:16.291Z] Top recommended movies for user id 72: [2026-03-05T21:23:16.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:23:16.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:23:16.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:23:16.291Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:23:16.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:23:16.291Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (119963.154 ms) ====== [2026-03-05T21:23:16.291Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T21:23:16.772Z] GC before operation: completed in 528.068 ms, heap usage 145.041 MB -> 90.814 MB. [2026-03-05T21:23:35.330Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:23:58.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:24:16.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:24:29.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:24:38.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:24:46.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:24:56.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:25:10.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:25:10.620Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:25:11.054Z] The best model improves the baseline by 14.52%. [2026-03-05T21:25:11.602Z] Top recommended movies for user id 72: [2026-03-05T21:25:11.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:25:11.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:25:11.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:25:11.602Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:25:11.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:25:11.602Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (114606.153 ms) ====== [2026-03-05T21:25:11.602Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T21:25:12.081Z] GC before operation: completed in 506.072 ms, heap usage 579.517 MB -> 92.580 MB. [2026-03-05T21:25:34.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:25:53.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:26:20.975Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:26:31.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:26:42.461Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:26:53.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:27:06.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:27:22.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:27:23.611Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:27:24.077Z] The best model improves the baseline by 14.52%. [2026-03-05T21:27:24.618Z] Top recommended movies for user id 72: [2026-03-05T21:27:24.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:27:24.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:27:24.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:27:24.618Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:27:24.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:27:24.618Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (132525.674 ms) ====== [2026-03-05T21:27:24.618Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T21:27:25.185Z] GC before operation: completed in 527.126 ms, heap usage 340.292 MB -> 89.159 MB. [2026-03-05T21:27:48.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T21:28:06.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T21:28:22.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T21:28:49.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T21:28:58.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T21:29:07.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T21:29:19.444Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T21:29:26.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T21:29:27.109Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T21:29:27.109Z] The best model improves the baseline by 14.52%. [2026-03-05T21:29:27.612Z] Top recommended movies for user id 72: [2026-03-05T21:29:27.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T21:29:27.612Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T21:29:27.612Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T21:29:27.612Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T21:29:27.612Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T21:29:27.612Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (122672.593 ms) ====== [2026-03-05T21:29:33.344Z] ----------------------------------- [2026-03-05T21:29:33.345Z] renaissance-movie-lens_0_PASSED [2026-03-05T21:29:33.345Z] ----------------------------------- [2026-03-05T21:29:33.345Z] [2026-03-05T21:29:33.345Z] TEST TEARDOWN: [2026-03-05T21:29:33.345Z] Nothing to be done for teardown. [2026-03-05T21:29:33.345Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 16:29:32 2026 Epoch Time (ms): 1772746172943