[2026-03-05T18:33:19.106Z] Running test renaissance-movie-lens_0 ... [2026-03-05T18:33:19.106Z] =============================================== [2026-03-05T18:33:19.517Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 13:33:18 2026 Epoch Time (ms): 1772735598981 [2026-03-05T18:33:19.517Z] variation: NoOptions [2026-03-05T18:33:19.517Z] JVM_OPTIONS: [2026-03-05T18:33:19.517Z] { \ [2026-03-05T18:33:19.517Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T18:33:19.517Z] echo "Nothing to be done for setup."; \ [2026-03-05T18:33:19.517Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727337348423/renaissance-movie-lens_0"; \ [2026-03-05T18:33:19.517Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727337348423/renaissance-movie-lens_0"; \ [2026-03-05T18:33:19.517Z] echo ""; echo "TESTING:"; \ [2026-03-05T18:33:19.517Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727337348423/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T18:33:19.517Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727337348423/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T18:33:19.517Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T18:33:19.517Z] echo "Nothing to be done for teardown."; \ [2026-03-05T18:33:19.517Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17727337348423/TestTargetResult"; [2026-03-05T18:33:19.517Z] [2026-03-05T18:33:19.517Z] TEST SETUP: [2026-03-05T18:33:19.517Z] Nothing to be done for setup. [2026-03-05T18:33:19.517Z] [2026-03-05T18:33:19.517Z] TESTING: [2026-03-05T18:33:41.188Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T18:34:06.726Z] 13:34:05.753 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T18:34:14.367Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T18:34:17.686Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T18:34:17.686Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T18:34:18.226Z] GC before operation: completed in 406.443 ms, heap usage 438.064 MB -> 74.853 MB. [2026-03-05T18:35:01.547Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:35:23.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:35:50.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:36:12.281Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:36:26.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:36:46.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:36:59.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:37:11.364Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:37:11.923Z] 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. [2026-03-05T18:37:12.316Z] The best model improves the baseline by 14.52%. [2026-03-05T18:37:13.292Z] Top recommended movies for user id 72: [2026-03-05T18:37:13.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:37:13.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:37:13.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:37:13.292Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:37:13.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:37:13.292Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (175028.489 ms) ====== [2026-03-05T18:37:13.292Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T18:37:13.793Z] GC before operation: completed in 707.126 ms, heap usage 992.236 MB -> 96.903 MB. [2026-03-05T18:37:39.649Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:38:11.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:38:27.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:38:45.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:38:52.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:38:59.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:39:08.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:39:17.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:39:17.936Z] 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. [2026-03-05T18:39:17.936Z] The best model improves the baseline by 14.52%. [2026-03-05T18:39:18.654Z] Top recommended movies for user id 72: [2026-03-05T18:39:18.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:39:18.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:39:18.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:39:18.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:39:18.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:39:18.654Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (124865.251 ms) ====== [2026-03-05T18:39:18.654Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T18:39:19.822Z] GC before operation: completed in 1231.496 ms, heap usage 1.133 GB -> 93.060 MB. [2026-03-05T18:39:38.947Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:39:56.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:40:12.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:40:28.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:40:45.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:40:53.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:41:03.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:41:12.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:41:12.923Z] 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. [2026-03-05T18:41:13.378Z] The best model improves the baseline by 14.52%. [2026-03-05T18:41:13.378Z] Top recommended movies for user id 72: [2026-03-05T18:41:13.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:41:13.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:41:13.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:41:13.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:41:13.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:41:13.378Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (113664.412 ms) ====== [2026-03-05T18:41:13.378Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T18:41:13.942Z] GC before operation: completed in 433.409 ms, heap usage 740.830 MB -> 92.237 MB. [2026-03-05T18:41:35.855Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:41:46.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:42:04.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:42:21.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:42:28.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:42:36.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:42:45.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:42:52.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:42:53.036Z] 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. [2026-03-05T18:42:53.463Z] The best model improves the baseline by 14.52%. [2026-03-05T18:42:53.913Z] Top recommended movies for user id 72: [2026-03-05T18:42:53.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:42:53.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:42:53.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:42:53.913Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:42:53.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:42:53.913Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (99928.195 ms) ====== [2026-03-05T18:42:53.913Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T18:42:54.459Z] GC before operation: completed in 331.009 ms, heap usage 1.146 GB -> 94.093 MB. [2026-03-05T18:43:16.472Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:43:29.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:43:44.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:43:55.003Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:44:06.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:44:15.869Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:44:23.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:44:34.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:44:34.197Z] 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. [2026-03-05T18:44:34.197Z] The best model improves the baseline by 14.52%. [2026-03-05T18:44:35.132Z] Top recommended movies for user id 72: [2026-03-05T18:44:35.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:44:35.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:44:35.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:44:35.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:44:35.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:44:35.132Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (100767.278 ms) ====== [2026-03-05T18:44:35.132Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T18:44:35.132Z] GC before operation: completed in 240.888 ms, heap usage 181.181 MB -> 91.798 MB. [2026-03-05T18:44:52.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:45:08.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:45:27.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:45:40.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:45:50.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:45:58.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:46:07.312Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:46:16.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:46:16.943Z] 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. [2026-03-05T18:46:17.485Z] The best model improves the baseline by 14.52%. [2026-03-05T18:46:17.485Z] Top recommended movies for user id 72: [2026-03-05T18:46:17.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:46:17.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:46:17.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:46:17.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:46:17.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:46:17.485Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (102322.902 ms) ====== [2026-03-05T18:46:17.485Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T18:46:18.111Z] GC before operation: completed in 382.340 ms, heap usage 741.708 MB -> 94.675 MB. [2026-03-05T18:46:36.992Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:46:53.129Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:47:10.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:47:23.813Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:47:33.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:47:41.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:47:51.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:47:59.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:48:00.228Z] 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. [2026-03-05T18:48:00.228Z] The best model improves the baseline by 14.52%. [2026-03-05T18:48:00.686Z] Top recommended movies for user id 72: [2026-03-05T18:48:00.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:48:00.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:48:00.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:48:00.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:48:00.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:48:00.687Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (102549.615 ms) ====== [2026-03-05T18:48:00.687Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T18:48:00.687Z] GC before operation: completed in 308.497 ms, heap usage 993.981 MB -> 95.052 MB. [2026-03-05T18:48:23.396Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:48:39.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:48:55.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:49:09.478Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:49:19.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:49:27.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:49:34.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:49:43.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:49:44.253Z] 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. [2026-03-05T18:49:44.253Z] The best model improves the baseline by 14.52%. [2026-03-05T18:49:44.822Z] Top recommended movies for user id 72: [2026-03-05T18:49:44.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:49:44.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:49:44.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:49:44.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:49:44.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:49:44.822Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (104063.138 ms) ====== [2026-03-05T18:49:44.822Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T18:49:45.218Z] GC before operation: completed in 342.935 ms, heap usage 567.814 MB -> 92.759 MB. [2026-03-05T18:50:03.182Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:50:18.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:50:34.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:50:50.498Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:50:57.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:51:05.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:51:14.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:51:22.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:51:23.343Z] 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. [2026-03-05T18:51:23.343Z] The best model improves the baseline by 14.52%. [2026-03-05T18:51:24.330Z] Top recommended movies for user id 72: [2026-03-05T18:51:24.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:51:24.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:51:24.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:51:24.330Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:51:24.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:51:24.330Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (98843.035 ms) ====== [2026-03-05T18:51:24.330Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T18:51:24.330Z] GC before operation: completed in 464.460 ms, heap usage 127.827 MB -> 94.176 MB. [2026-03-05T18:51:42.724Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:51:58.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:52:12.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:52:24.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:52:32.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:52:39.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:52:50.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:52:57.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:52:59.072Z] 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. [2026-03-05T18:52:59.072Z] The best model improves the baseline by 14.52%. [2026-03-05T18:52:59.610Z] Top recommended movies for user id 72: [2026-03-05T18:52:59.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:52:59.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:52:59.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:52:59.610Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:52:59.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:52:59.610Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (95100.052 ms) ====== [2026-03-05T18:52:59.610Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T18:53:00.171Z] GC before operation: completed in 266.283 ms, heap usage 298.505 MB -> 89.468 MB. [2026-03-05T18:53:15.155Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:53:28.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:53:43.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:53:57.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:54:05.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:54:13.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:54:22.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:54:28.124Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:54:28.124Z] 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. [2026-03-05T18:54:28.124Z] The best model improves the baseline by 14.52%. [2026-03-05T18:54:28.550Z] Top recommended movies for user id 72: [2026-03-05T18:54:28.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:54:28.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:54:28.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:54:28.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:54:28.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:54:28.550Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (88694.389 ms) ====== [2026-03-05T18:54:28.550Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T18:54:28.976Z] GC before operation: completed in 335.213 ms, heap usage 421.364 MB -> 89.196 MB. [2026-03-05T18:54:47.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:55:05.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:55:24.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:55:40.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:55:48.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:55:56.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:56:06.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:56:14.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:56:15.376Z] 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. [2026-03-05T18:56:15.813Z] The best model improves the baseline by 14.52%. [2026-03-05T18:56:15.813Z] Top recommended movies for user id 72: [2026-03-05T18:56:15.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:56:15.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:56:15.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:56:15.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:56:15.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:56:15.813Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (107082.727 ms) ====== [2026-03-05T18:56:15.813Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T18:56:16.761Z] GC before operation: completed in 446.255 ms, heap usage 1.662 GB -> 95.393 MB. [2026-03-05T18:56:32.192Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:56:44.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:57:00.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:57:13.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:57:23.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:57:30.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:57:37.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:57:47.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:57:47.157Z] 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. [2026-03-05T18:57:47.157Z] The best model improves the baseline by 14.52%. [2026-03-05T18:57:47.589Z] Top recommended movies for user id 72: [2026-03-05T18:57:47.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:57:47.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:57:47.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:57:47.589Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:57:47.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:57:47.589Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (91034.322 ms) ====== [2026-03-05T18:57:47.589Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T18:57:48.302Z] GC before operation: completed in 328.373 ms, heap usage 1.568 GB -> 95.567 MB. [2026-03-05T18:58:03.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:58:14.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:58:30.268Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:58:45.429Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:58:51.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:58:57.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:59:06.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:59:13.067Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:59:14.166Z] 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. [2026-03-05T18:59:14.166Z] The best model improves the baseline by 14.52%. [2026-03-05T18:59:14.651Z] Top recommended movies for user id 72: [2026-03-05T18:59:14.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:59:14.651Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:59:14.651Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:59:14.651Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:59:14.651Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:59:14.651Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (86693.175 ms) ====== [2026-03-05T18:59:14.651Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T18:59:15.097Z] GC before operation: completed in 362.557 ms, heap usage 424.794 MB -> 89.528 MB. [2026-03-05T18:59:27.842Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:59:47.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:59:55.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T19:00:06.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T19:00:14.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T19:00:21.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T19:00:28.828Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T19:00:36.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T19:00:36.544Z] 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. [2026-03-05T19:00:37.069Z] The best model improves the baseline by 14.52%. [2026-03-05T19:00:37.069Z] Top recommended movies for user id 72: [2026-03-05T19:00:37.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T19:00:37.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T19:00:37.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T19:00:37.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T19:00:37.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T19:00:37.069Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (82122.590 ms) ====== [2026-03-05T19:00:37.069Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T19:00:37.579Z] GC before operation: completed in 327.801 ms, heap usage 663.416 MB -> 93.117 MB. [2026-03-05T19:00:55.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T19:01:08.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T19:01:24.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T19:01:38.374Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T19:01:46.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T19:01:54.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T19:02:04.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T19:02:15.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T19:02:16.157Z] 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. [2026-03-05T19:02:16.157Z] The best model improves the baseline by 14.52%. [2026-03-05T19:02:16.713Z] Top recommended movies for user id 72: [2026-03-05T19:02:16.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T19:02:16.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T19:02:16.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T19:02:16.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T19:02:16.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T19:02:16.713Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (99351.076 ms) ====== [2026-03-05T19:02:16.713Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T19:02:17.227Z] GC before operation: completed in 372.586 ms, heap usage 616.656 MB -> 92.870 MB. [2026-03-05T19:02:36.468Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T19:02:52.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T19:03:06.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T19:03:21.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T19:03:29.484Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T19:03:35.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T19:03:48.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T19:03:57.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T19:04:00.322Z] 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. [2026-03-05T19:04:00.322Z] The best model improves the baseline by 14.52%. [2026-03-05T19:04:00.848Z] Top recommended movies for user id 72: [2026-03-05T19:04:00.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T19:04:00.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T19:04:00.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T19:04:00.849Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T19:04:00.849Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T19:04:00.849Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (103742.483 ms) ====== [2026-03-05T19:04:00.849Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T19:04:01.630Z] GC before operation: completed in 483.367 ms, heap usage 465.453 MB -> 91.909 MB. [2026-03-05T19:04:20.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T19:04:46.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T19:05:00.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T19:05:19.985Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T19:05:28.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T19:05:35.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T19:05:45.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T19:05:53.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T19:05:54.482Z] 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. [2026-03-05T19:05:54.482Z] The best model improves the baseline by 14.52%. [2026-03-05T19:05:55.653Z] Top recommended movies for user id 72: [2026-03-05T19:05:55.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T19:05:55.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T19:05:55.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T19:05:55.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T19:05:55.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T19:05:55.653Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (114173.021 ms) ====== [2026-03-05T19:05:55.653Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T19:05:56.118Z] GC before operation: completed in 423.239 ms, heap usage 719.691 MB -> 92.988 MB. [2026-03-05T19:06:18.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T19:06:34.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T19:06:54.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T19:07:07.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T19:07:14.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T19:07:23.793Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T19:07:31.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T19:07:39.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T19:07:41.409Z] 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. [2026-03-05T19:07:41.409Z] The best model improves the baseline by 14.52%. [2026-03-05T19:07:42.430Z] Top recommended movies for user id 72: [2026-03-05T19:07:42.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T19:07:42.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T19:07:42.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T19:07:42.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T19:07:42.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T19:07:42.430Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (106220.120 ms) ====== [2026-03-05T19:07:42.430Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T19:07:42.430Z] GC before operation: completed in 359.070 ms, heap usage 491.306 MB -> 89.678 MB. [2026-03-05T19:08:01.046Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T19:08:28.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T19:08:49.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T19:09:09.053Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T19:09:20.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T19:09:27.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T19:09:36.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T19:09:44.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T19:09:45.363Z] 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. [2026-03-05T19:09:45.363Z] The best model improves the baseline by 14.52%. [2026-03-05T19:09:47.090Z] Top recommended movies for user id 72: [2026-03-05T19:09:47.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T19:09:47.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T19:09:47.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T19:09:47.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T19:09:47.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T19:09:47.090Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (124364.232 ms) ====== [2026-03-05T19:09:54.143Z] ----------------------------------- [2026-03-05T19:09:54.143Z] renaissance-movie-lens_0_PASSED [2026-03-05T19:09:54.143Z] ----------------------------------- [2026-03-05T19:09:54.143Z] [2026-03-05T19:09:54.143Z] TEST TEARDOWN: [2026-03-05T19:09:54.143Z] Nothing to be done for teardown. [2026-03-05T19:09:54.143Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 14:09:53 2026 Epoch Time (ms): 1772737793356