[2026-01-17T13:28:35.024Z] Running test renaissance-movie-lens_0 ... [2026-01-17T13:28:35.024Z] =============================================== [2026-01-17T13:28:35.024Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 13:28:34 2026 Epoch Time (ms): 1768656514905 [2026-01-17T13:28:35.024Z] variation: NoOptions [2026-01-17T13:28:35.024Z] JVM_OPTIONS: [2026-01-17T13:28:35.024Z] { \ [2026-01-17T13:28:35.024Z] echo ""; echo "TEST SETUP:"; \ [2026-01-17T13:28:35.024Z] echo "Nothing to be done for setup."; \ [2026-01-17T13:28:35.024Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17686552325172/renaissance-movie-lens_0"; \ [2026-01-17T13:28:35.024Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17686552325172/renaissance-movie-lens_0"; \ [2026-01-17T13:28:35.024Z] echo ""; echo "TESTING:"; \ [2026-01-17T13:28:35.024Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17686552325172/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-17T13:28:35.024Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17686552325172/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-17T13:28:35.024Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-17T13:28:35.024Z] echo "Nothing to be done for teardown."; \ [2026-01-17T13:28:35.024Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17686552325172/TestTargetResult"; [2026-01-17T13:28:35.024Z] [2026-01-17T13:28:35.024Z] TEST SETUP: [2026-01-17T13:28:35.024Z] Nothing to be done for setup. [2026-01-17T13:28:35.024Z] [2026-01-17T13:28:35.024Z] TESTING: [2026-01-17T13:28:35.791Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-17T13:28:35.791Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17686552325172/renaissance-movie-lens_0/launcher-132835-6252683811309300462/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-17T13:28:35.791Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-17T13:28:35.791Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-17T13:28:43.311Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-17T13:28:52.546Z] 13:28:52.423 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-17T13:28:55.803Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-17T13:28:56.177Z] Training: 60056, validation: 20285, test: 19854 [2026-01-17T13:28:56.177Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-17T13:28:56.532Z] GC before operation: completed in 139.345 ms, heap usage 134.927 MB -> 75.592 MB. [2026-01-17T13:29:04.277Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:29:09.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:29:13.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:29:17.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:29:20.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:29:21.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:29:24.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:29:26.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:29:26.661Z] 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. [2026-01-17T13:29:27.014Z] The best model improves the baseline by 14.52%. [2026-01-17T13:29:27.397Z] Top recommended movies for user id 72: [2026-01-17T13:29:27.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:29:27.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:29:27.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:29:27.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:29:27.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:29:27.397Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30826.896 ms) ====== [2026-01-17T13:29:27.397Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-17T13:29:27.397Z] GC before operation: completed in 158.718 ms, heap usage 129.701 MB -> 89.667 MB. [2026-01-17T13:29:31.517Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:29:35.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:29:38.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:29:41.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:29:44.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:29:46.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:29:48.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:29:51.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:29:51.472Z] 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. [2026-01-17T13:29:51.472Z] The best model improves the baseline by 14.52%. [2026-01-17T13:29:51.472Z] Top recommended movies for user id 72: [2026-01-17T13:29:51.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:29:51.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:29:51.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:29:51.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:29:51.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:29:51.472Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24200.004 ms) ====== [2026-01-17T13:29:51.472Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-17T13:29:51.840Z] GC before operation: completed in 147.363 ms, heap usage 129.437 MB -> 91.894 MB. [2026-01-17T13:29:55.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:29:59.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:30:02.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:30:04.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:30:07.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:30:09.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:30:11.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:30:12.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:30:13.228Z] 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. [2026-01-17T13:30:13.607Z] The best model improves the baseline by 14.52%. [2026-01-17T13:30:13.607Z] Top recommended movies for user id 72: [2026-01-17T13:30:13.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:30:13.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:30:13.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:30:13.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:30:13.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:30:13.607Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21955.454 ms) ====== [2026-01-17T13:30:13.607Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-17T13:30:14.017Z] GC before operation: completed in 148.494 ms, heap usage 290.234 MB -> 89.124 MB. [2026-01-17T13:30:17.175Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:30:20.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:30:23.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:30:26.641Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:30:28.458Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:30:30.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:30:32.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:30:33.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:30:33.937Z] 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. [2026-01-17T13:30:33.937Z] The best model improves the baseline by 14.52%. [2026-01-17T13:30:34.321Z] Top recommended movies for user id 72: [2026-01-17T13:30:34.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:30:34.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:30:34.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:30:34.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:30:34.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:30:34.321Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20502.138 ms) ====== [2026-01-17T13:30:34.321Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-17T13:30:34.321Z] GC before operation: completed in 149.607 ms, heap usage 275.885 MB -> 89.413 MB. [2026-01-17T13:30:37.529Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:30:40.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:30:44.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:30:48.035Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:30:49.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:30:51.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:30:54.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:30:55.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:30:56.274Z] 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. [2026-01-17T13:30:56.274Z] The best model improves the baseline by 14.52%. [2026-01-17T13:30:56.626Z] Top recommended movies for user id 72: [2026-01-17T13:30:56.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:30:56.626Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:30:56.626Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:30:56.626Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:30:56.626Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:30:56.626Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22115.319 ms) ====== [2026-01-17T13:30:56.626Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-17T13:30:56.626Z] GC before operation: completed in 142.719 ms, heap usage 117.993 MB -> 89.403 MB. [2026-01-17T13:31:00.667Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:31:03.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:31:06.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:31:09.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:31:11.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:31:13.086Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:31:15.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:31:16.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:31:17.284Z] 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. [2026-01-17T13:31:17.284Z] The best model improves the baseline by 14.52%. [2026-01-17T13:31:17.642Z] Top recommended movies for user id 72: [2026-01-17T13:31:17.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:31:17.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:31:17.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:31:17.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:31:17.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:31:17.642Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20891.465 ms) ====== [2026-01-17T13:31:17.642Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-17T13:31:17.642Z] GC before operation: completed in 155.231 ms, heap usage 289.684 MB -> 89.739 MB. [2026-01-17T13:31:20.797Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:31:23.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:31:26.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:31:29.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:31:31.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:31:32.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:31:34.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:31:36.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:31:36.183Z] 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. [2026-01-17T13:31:36.540Z] The best model improves the baseline by 14.52%. [2026-01-17T13:31:36.540Z] Top recommended movies for user id 72: [2026-01-17T13:31:36.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:31:36.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:31:36.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:31:36.540Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:31:36.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:31:36.540Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18794.016 ms) ====== [2026-01-17T13:31:36.540Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-17T13:31:36.899Z] GC before operation: completed in 146.682 ms, heap usage 293.175 MB -> 89.683 MB. [2026-01-17T13:31:39.457Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:31:42.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:31:45.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:31:48.276Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:31:50.090Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:31:51.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:31:53.748Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:31:54.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:31:55.417Z] 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. [2026-01-17T13:31:55.417Z] The best model improves the baseline by 14.52%. [2026-01-17T13:31:55.787Z] Top recommended movies for user id 72: [2026-01-17T13:31:55.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:31:55.787Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:31:55.787Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:31:55.787Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:31:55.787Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:31:55.787Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18905.867 ms) ====== [2026-01-17T13:31:55.787Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-17T13:31:55.787Z] GC before operation: completed in 155.581 ms, heap usage 208.689 MB -> 91.130 MB. [2026-01-17T13:31:58.945Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:32:02.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:32:04.689Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:32:07.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:32:09.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:32:11.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:32:13.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:32:15.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:32:15.501Z] 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. [2026-01-17T13:32:15.501Z] The best model improves the baseline by 14.52%. [2026-01-17T13:32:15.855Z] Top recommended movies for user id 72: [2026-01-17T13:32:15.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:32:15.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:32:15.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:32:15.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:32:15.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:32:15.855Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20067.287 ms) ====== [2026-01-17T13:32:15.855Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-17T13:32:15.855Z] GC before operation: completed in 150.021 ms, heap usage 500.892 MB -> 90.062 MB. [2026-01-17T13:32:19.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:32:22.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:32:25.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:32:28.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:32:29.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:32:31.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:32:34.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:32:35.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:32:35.830Z] 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. [2026-01-17T13:32:35.831Z] The best model improves the baseline by 14.52%. [2026-01-17T13:32:36.184Z] Top recommended movies for user id 72: [2026-01-17T13:32:36.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:32:36.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:32:36.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:32:36.184Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:32:36.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:32:36.184Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20120.657 ms) ====== [2026-01-17T13:32:36.184Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-17T13:32:36.184Z] GC before operation: completed in 146.096 ms, heap usage 440.668 MB -> 90.158 MB. [2026-01-17T13:32:39.323Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:32:42.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:32:44.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:32:48.076Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:32:49.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:32:51.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:32:53.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:32:54.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:32:54.807Z] 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. [2026-01-17T13:32:55.161Z] The best model improves the baseline by 14.52%. [2026-01-17T13:32:55.161Z] Top recommended movies for user id 72: [2026-01-17T13:32:55.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:32:55.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:32:55.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:32:55.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:32:55.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:32:55.161Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18894.363 ms) ====== [2026-01-17T13:32:55.161Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-17T13:32:55.161Z] GC before operation: completed in 148.086 ms, heap usage 509.965 MB -> 90.000 MB. [2026-01-17T13:32:58.294Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:33:00.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:33:03.911Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:33:06.298Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:33:08.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:33:09.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:33:11.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:33:12.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:33:13.307Z] 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. [2026-01-17T13:33:13.307Z] The best model improves the baseline by 14.52%. [2026-01-17T13:33:13.661Z] Top recommended movies for user id 72: [2026-01-17T13:33:13.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:33:13.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:33:13.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:33:13.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:33:13.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:33:13.662Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18191.974 ms) ====== [2026-01-17T13:33:13.662Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-17T13:33:13.662Z] GC before operation: completed in 149.302 ms, heap usage 220.848 MB -> 89.780 MB. [2026-01-17T13:33:16.829Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:33:19.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:33:21.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:33:25.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:33:26.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:33:28.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:33:29.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:33:31.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:33:32.162Z] 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. [2026-01-17T13:33:32.162Z] The best model improves the baseline by 14.52%. [2026-01-17T13:33:32.162Z] Top recommended movies for user id 72: [2026-01-17T13:33:32.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:33:32.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:33:32.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:33:32.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:33:32.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:33:32.162Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18607.437 ms) ====== [2026-01-17T13:33:32.162Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-17T13:33:32.568Z] GC before operation: completed in 147.771 ms, heap usage 432.462 MB -> 90.286 MB. [2026-01-17T13:33:35.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:33:38.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:33:41.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:33:44.451Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:33:46.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:33:48.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:33:50.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:33:51.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:33:52.108Z] 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. [2026-01-17T13:33:52.461Z] The best model improves the baseline by 14.52%. [2026-01-17T13:33:52.461Z] Top recommended movies for user id 72: [2026-01-17T13:33:52.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:33:52.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:33:52.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:33:52.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:33:52.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:33:52.461Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20084.096 ms) ====== [2026-01-17T13:33:52.461Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-17T13:33:52.815Z] GC before operation: completed in 145.610 ms, heap usage 144.551 MB -> 89.596 MB. [2026-01-17T13:33:55.934Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:33:58.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:34:01.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:34:04.710Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:34:06.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:34:07.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:34:09.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:34:11.587Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:34:12.037Z] 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. [2026-01-17T13:34:12.037Z] The best model improves the baseline by 14.52%. [2026-01-17T13:34:12.427Z] Top recommended movies for user id 72: [2026-01-17T13:34:12.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:34:12.427Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:34:12.427Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:34:12.427Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:34:12.427Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:34:12.427Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19575.718 ms) ====== [2026-01-17T13:34:12.427Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-17T13:34:12.427Z] GC before operation: completed in 152.435 ms, heap usage 117.084 MB -> 89.831 MB. [2026-01-17T13:34:15.554Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:34:17.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:34:21.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:34:23.537Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:34:25.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:34:26.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:34:29.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:34:30.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:34:30.970Z] 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. [2026-01-17T13:34:30.970Z] The best model improves the baseline by 14.52%. [2026-01-17T13:34:30.970Z] Top recommended movies for user id 72: [2026-01-17T13:34:30.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:34:30.970Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:34:30.970Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:34:30.970Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:34:30.970Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:34:30.970Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18749.170 ms) ====== [2026-01-17T13:34:30.970Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-17T13:34:31.348Z] GC before operation: completed in 152.906 ms, heap usage 191.276 MB -> 89.825 MB. [2026-01-17T13:34:33.861Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:34:37.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:34:39.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:34:42.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:34:44.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:34:46.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:34:48.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:34:49.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:34:49.860Z] 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. [2026-01-17T13:34:49.860Z] The best model improves the baseline by 14.52%. [2026-01-17T13:34:50.292Z] Top recommended movies for user id 72: [2026-01-17T13:34:50.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:34:50.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:34:50.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:34:50.292Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:34:50.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:34:50.292Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18856.187 ms) ====== [2026-01-17T13:34:50.292Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-17T13:34:50.292Z] GC before operation: completed in 152.253 ms, heap usage 344.121 MB -> 90.100 MB. [2026-01-17T13:34:53.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:34:56.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:34:59.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:35:02.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:35:04.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:35:05.882Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:35:07.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:35:09.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:35:09.837Z] 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. [2026-01-17T13:35:09.837Z] The best model improves the baseline by 14.52%. [2026-01-17T13:35:10.222Z] Top recommended movies for user id 72: [2026-01-17T13:35:10.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:35:10.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:35:10.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:35:10.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:35:10.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:35:10.222Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19739.102 ms) ====== [2026-01-17T13:35:10.222Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-17T13:35:10.222Z] GC before operation: completed in 147.700 ms, heap usage 260.681 MB -> 89.896 MB. [2026-01-17T13:35:13.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:35:15.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:35:18.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:35:21.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:35:22.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:35:24.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:35:26.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:35:28.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:35:28.073Z] 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. [2026-01-17T13:35:28.073Z] The best model improves the baseline by 14.52%. [2026-01-17T13:35:28.425Z] Top recommended movies for user id 72: [2026-01-17T13:35:28.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:35:28.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:35:28.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:35:28.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:35:28.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:35:28.425Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18178.226 ms) ====== [2026-01-17T13:35:28.425Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-17T13:35:28.425Z] GC before operation: completed in 154.030 ms, heap usage 359.735 MB -> 90.146 MB. [2026-01-17T13:35:31.554Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:35:33.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:35:37.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:35:39.679Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:35:40.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:35:42.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:35:44.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:35:46.358Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:35:46.724Z] 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. [2026-01-17T13:35:47.075Z] The best model improves the baseline by 14.52%. [2026-01-17T13:35:47.075Z] Top recommended movies for user id 72: [2026-01-17T13:35:47.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:35:47.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:35:47.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:35:47.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:35:47.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:35:47.075Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18605.144 ms) ====== [2026-01-17T13:35:47.828Z] ----------------------------------- [2026-01-17T13:35:47.829Z] renaissance-movie-lens_0_PASSED [2026-01-17T13:35:47.829Z] ----------------------------------- [2026-01-17T13:35:47.829Z] [2026-01-17T13:35:47.829Z] TEST TEARDOWN: [2026-01-17T13:35:47.829Z] Nothing to be done for teardown. [2026-01-17T13:35:47.829Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 13:35:47 2026 Epoch Time (ms): 1768656947523