[2025-12-20T14:12:06.634Z] Running test renaissance-movie-lens_0 ... [2025-12-20T14:12:06.634Z] =============================================== [2025-12-20T14:12:06.634Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 14:12:05 2025 Epoch Time (ms): 1766239925360 [2025-12-20T14:12:06.634Z] variation: NoOptions [2025-12-20T14:12:06.634Z] JVM_OPTIONS: [2025-12-20T14:12:06.634Z] { \ [2025-12-20T14:12:06.634Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T14:12:06.634Z] echo "Nothing to be done for setup."; \ [2025-12-20T14:12:06.634Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662381036343/renaissance-movie-lens_0"; \ [2025-12-20T14:12:06.634Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662381036343/renaissance-movie-lens_0"; \ [2025-12-20T14:12:06.634Z] echo ""; echo "TESTING:"; \ [2025-12-20T14:12:06.634Z] "/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_17662381036343/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T14:12:06.634Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662381036343/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T14:12:06.634Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T14:12:06.634Z] echo "Nothing to be done for teardown."; \ [2025-12-20T14:12:06.634Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17662381036343/TestTargetResult"; [2025-12-20T14:12:06.634Z] [2025-12-20T14:12:06.634Z] TEST SETUP: [2025-12-20T14:12:06.634Z] Nothing to be done for setup. [2025-12-20T14:12:06.634Z] [2025-12-20T14:12:06.634Z] TESTING: [2025-12-20T14:12:06.634Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T14:12:06.634Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17662381036343/renaissance-movie-lens_0/launcher-141205-9206391494771586709/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T14:12:06.634Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T14:12:06.634Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T14:12:14.283Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-20T14:12:23.533Z] 14:12:22.734 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-20T14:12:26.057Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T14:12:26.867Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T14:12:26.867Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T14:12:26.867Z] GC before operation: completed in 151.343 ms, heap usage 328.672 MB -> 75.603 MB. [2025-12-20T14:12:36.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:12:42.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:12:46.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:12:50.847Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:12:53.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:12:55.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:12:57.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:13:00.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:13:00.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T14:13:00.022Z] The best model improves the baseline by 14.52%. [2025-12-20T14:13:00.380Z] Top recommended movies for user id 72: [2025-12-20T14:13:00.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:13:00.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:13:00.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:13:00.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:13:00.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:13:00.380Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33490.939 ms) ====== [2025-12-20T14:13:00.380Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T14:13:00.380Z] GC before operation: completed in 152.591 ms, heap usage 246.320 MB -> 91.867 MB. [2025-12-20T14:13:04.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:13:07.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:13:11.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:13:15.014Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:13:16.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:13:18.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:13:21.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:13:23.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:13:23.583Z] 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. [2025-12-20T14:13:23.583Z] The best model improves the baseline by 14.52%. [2025-12-20T14:13:23.967Z] Top recommended movies for user id 72: [2025-12-20T14:13:23.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:13:23.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:13:23.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:13:23.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:13:23.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:13:23.967Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23260.030 ms) ====== [2025-12-20T14:13:23.967Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T14:13:23.967Z] GC before operation: completed in 174.785 ms, heap usage 410.941 MB -> 88.352 MB. [2025-12-20T14:13:28.036Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:13:31.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:13:34.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:13:37.821Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:13:39.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:13:41.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:13:43.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:13:45.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:13:45.575Z] 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. [2025-12-20T14:13:45.575Z] The best model improves the baseline by 14.52%. [2025-12-20T14:13:45.949Z] Top recommended movies for user id 72: [2025-12-20T14:13:45.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:13:45.949Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:13:45.949Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:13:45.949Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:13:45.949Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:13:45.949Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21825.613 ms) ====== [2025-12-20T14:13:45.949Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T14:13:45.949Z] GC before operation: completed in 148.099 ms, heap usage 101.269 MB -> 88.793 MB. [2025-12-20T14:13:49.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:13:53.126Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:13:56.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:13:59.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:14:01.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:14:03.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:14:05.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:14:06.872Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:14:07.247Z] 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. [2025-12-20T14:14:07.247Z] The best model improves the baseline by 14.52%. [2025-12-20T14:14:07.247Z] Top recommended movies for user id 72: [2025-12-20T14:14:07.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:14:07.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:14:07.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:14:07.247Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:14:07.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:14:07.247Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21437.239 ms) ====== [2025-12-20T14:14:07.247Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T14:14:07.603Z] GC before operation: completed in 149.730 ms, heap usage 173.710 MB -> 89.240 MB. [2025-12-20T14:14:10.746Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:14:13.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:14:17.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:14:20.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:14:22.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:14:24.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:14:26.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:14:28.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:14:28.877Z] 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. [2025-12-20T14:14:28.877Z] The best model improves the baseline by 14.52%. [2025-12-20T14:14:29.267Z] Top recommended movies for user id 72: [2025-12-20T14:14:29.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:14:29.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:14:29.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:14:29.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:14:29.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:14:29.267Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21673.050 ms) ====== [2025-12-20T14:14:29.267Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T14:14:29.267Z] GC before operation: completed in 148.833 ms, heap usage 396.676 MB -> 89.400 MB. [2025-12-20T14:14:33.347Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:14:35.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:14:39.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:14:42.247Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:14:44.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:14:46.485Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:14:48.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:14:50.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:14:50.113Z] 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. [2025-12-20T14:14:50.113Z] The best model improves the baseline by 14.52%. [2025-12-20T14:14:50.649Z] Top recommended movies for user id 72: [2025-12-20T14:14:50.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:14:50.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:14:50.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:14:50.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:14:50.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:14:50.649Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21114.642 ms) ====== [2025-12-20T14:14:50.649Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T14:14:50.649Z] GC before operation: completed in 179.688 ms, heap usage 255.428 MB -> 89.608 MB. [2025-12-20T14:14:53.796Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:14:56.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:14:59.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:15:02.607Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:15:04.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:15:06.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:15:07.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:15:09.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:15:10.102Z] 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. [2025-12-20T14:15:10.102Z] The best model improves the baseline by 14.52%. [2025-12-20T14:15:10.459Z] Top recommended movies for user id 72: [2025-12-20T14:15:10.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:15:10.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:15:10.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:15:10.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:15:10.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:15:10.459Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19882.569 ms) ====== [2025-12-20T14:15:10.459Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T14:15:10.819Z] GC before operation: completed in 155.911 ms, heap usage 273.432 MB -> 89.551 MB. [2025-12-20T14:15:14.212Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:15:16.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:15:19.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:15:23.045Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:15:24.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:15:26.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:15:28.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:15:30.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:15:30.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T14:15:30.723Z] The best model improves the baseline by 14.52%. [2025-12-20T14:15:30.723Z] Top recommended movies for user id 72: [2025-12-20T14:15:30.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:15:30.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:15:30.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:15:30.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:15:30.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:15:30.723Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20120.491 ms) ====== [2025-12-20T14:15:30.723Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T14:15:31.082Z] GC before operation: completed in 152.989 ms, heap usage 259.336 MB -> 89.817 MB. [2025-12-20T14:15:34.237Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:15:36.639Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:15:39.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:15:42.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:15:44.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:15:45.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:15:47.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:15:49.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:15:49.917Z] 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. [2025-12-20T14:15:49.917Z] The best model improves the baseline by 14.52%. [2025-12-20T14:15:49.917Z] Top recommended movies for user id 72: [2025-12-20T14:15:49.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:15:49.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:15:49.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:15:49.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:15:49.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:15:49.917Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19130.332 ms) ====== [2025-12-20T14:15:49.917Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T14:15:50.282Z] GC before operation: completed in 160.946 ms, heap usage 344.939 MB -> 89.626 MB. [2025-12-20T14:15:53.449Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:15:55.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:15:59.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:16:02.417Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:16:04.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:16:05.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:16:07.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:16:10.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:16:10.206Z] 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. [2025-12-20T14:16:10.206Z] The best model improves the baseline by 14.52%. [2025-12-20T14:16:10.206Z] Top recommended movies for user id 72: [2025-12-20T14:16:10.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:16:10.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:16:10.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:16:10.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:16:10.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:16:10.206Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20041.621 ms) ====== [2025-12-20T14:16:10.206Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T14:16:10.561Z] GC before operation: completed in 149.905 ms, heap usage 382.992 MB -> 89.935 MB. [2025-12-20T14:16:13.720Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:16:16.912Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:16:19.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:16:22.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:16:24.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:16:26.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:16:28.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:16:30.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:16:30.448Z] 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. [2025-12-20T14:16:30.448Z] The best model improves the baseline by 14.52%. [2025-12-20T14:16:30.804Z] Top recommended movies for user id 72: [2025-12-20T14:16:30.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:16:30.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:16:30.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:16:30.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:16:30.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:16:30.804Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20361.039 ms) ====== [2025-12-20T14:16:30.804Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T14:16:30.804Z] GC before operation: completed in 149.846 ms, heap usage 379.459 MB -> 89.662 MB. [2025-12-20T14:16:34.027Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:16:37.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:16:40.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:16:42.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:16:44.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:16:46.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:16:48.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:16:50.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:16:50.405Z] 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. [2025-12-20T14:16:50.405Z] The best model improves the baseline by 14.52%. [2025-12-20T14:16:50.762Z] Top recommended movies for user id 72: [2025-12-20T14:16:50.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:16:50.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:16:50.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:16:50.762Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:16:50.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:16:50.762Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19817.469 ms) ====== [2025-12-20T14:16:50.762Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T14:16:50.762Z] GC before operation: completed in 155.674 ms, heap usage 380.081 MB -> 89.879 MB. [2025-12-20T14:16:53.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:16:56.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:16:59.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:17:02.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:17:03.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:17:05.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:17:07.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:17:08.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:17:09.107Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-20T14:17:09.107Z] The best model improves the baseline by 14.52%. [2025-12-20T14:17:09.469Z] Top recommended movies for user id 72: [2025-12-20T14:17:09.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:17:09.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:17:09.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:17:09.469Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:17:09.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:17:09.469Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18449.494 ms) ====== [2025-12-20T14:17:09.469Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T14:17:09.469Z] GC before operation: completed in 148.926 ms, heap usage 523.497 MB -> 93.543 MB. [2025-12-20T14:17:12.848Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:17:15.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:17:18.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:17:20.849Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:17:22.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:17:23.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:17:25.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:17:27.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:17:27.548Z] 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. [2025-12-20T14:17:27.548Z] The best model improves the baseline by 14.52%. [2025-12-20T14:17:27.903Z] Top recommended movies for user id 72: [2025-12-20T14:17:27.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:17:27.903Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:17:27.903Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:17:27.903Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:17:27.903Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:17:27.903Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18389.179 ms) ====== [2025-12-20T14:17:27.903Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T14:17:27.903Z] GC before operation: completed in 149.991 ms, heap usage 204.658 MB -> 89.596 MB. [2025-12-20T14:17:31.224Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:17:33.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:17:36.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:17:40.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:17:41.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:17:43.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:17:44.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:17:46.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:17:47.048Z] 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. [2025-12-20T14:17:47.414Z] The best model improves the baseline by 14.52%. [2025-12-20T14:17:47.414Z] Top recommended movies for user id 72: [2025-12-20T14:17:47.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:17:47.414Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:17:47.414Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:17:47.414Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:17:47.414Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:17:47.414Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19404.687 ms) ====== [2025-12-20T14:17:47.414Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T14:17:47.769Z] GC before operation: completed in 149.937 ms, heap usage 363.929 MB -> 90.057 MB. [2025-12-20T14:17:50.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:17:53.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:17:55.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:17:59.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:18:00.524Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:18:01.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:18:04.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:18:05.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:18:05.927Z] 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. [2025-12-20T14:18:05.927Z] The best model improves the baseline by 14.52%. [2025-12-20T14:18:05.927Z] Top recommended movies for user id 72: [2025-12-20T14:18:05.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:18:05.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:18:05.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:18:05.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:18:05.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:18:05.927Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18460.353 ms) ====== [2025-12-20T14:18:05.927Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T14:18:06.287Z] GC before operation: completed in 160.342 ms, heap usage 716.152 MB -> 93.706 MB. [2025-12-20T14:18:09.408Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:18:11.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:18:15.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:18:17.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:18:19.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:18:21.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:18:22.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:18:24.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:18:25.018Z] 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. [2025-12-20T14:18:25.018Z] The best model improves the baseline by 14.52%. [2025-12-20T14:18:25.374Z] Top recommended movies for user id 72: [2025-12-20T14:18:25.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:18:25.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:18:25.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:18:25.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:18:25.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:18:25.374Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19116.645 ms) ====== [2025-12-20T14:18:25.374Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T14:18:25.374Z] GC before operation: completed in 148.137 ms, heap usage 376.561 MB -> 90.033 MB. [2025-12-20T14:18:28.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:18:31.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:18:34.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:18:37.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:18:39.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:18:41.065Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:18:42.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:18:44.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:18:44.703Z] 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. [2025-12-20T14:18:45.059Z] The best model improves the baseline by 14.52%. [2025-12-20T14:18:45.059Z] Top recommended movies for user id 72: [2025-12-20T14:18:45.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:18:45.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:18:45.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:18:45.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:18:45.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:18:45.059Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19631.190 ms) ====== [2025-12-20T14:18:45.059Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T14:18:45.432Z] GC before operation: completed in 148.405 ms, heap usage 95.113 MB -> 89.704 MB. [2025-12-20T14:18:48.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:18:51.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:18:54.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:18:57.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:18:58.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:19:00.771Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:19:02.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:19:04.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:19:04.832Z] 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. [2025-12-20T14:19:04.832Z] The best model improves the baseline by 14.52%. [2025-12-20T14:19:04.832Z] Top recommended movies for user id 72: [2025-12-20T14:19:04.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:19:04.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:19:04.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:19:04.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:19:04.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:19:04.832Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19689.548 ms) ====== [2025-12-20T14:19:04.832Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T14:19:05.342Z] GC before operation: completed in 166.273 ms, heap usage 314.698 MB -> 89.903 MB. [2025-12-20T14:19:07.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T14:19:11.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T14:19:13.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T14:19:16.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T14:19:18.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T14:19:19.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T14:19:21.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T14:19:23.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T14:19:23.018Z] 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. [2025-12-20T14:19:23.371Z] The best model improves the baseline by 14.52%. [2025-12-20T14:19:23.371Z] Top recommended movies for user id 72: [2025-12-20T14:19:23.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-20T14:19:23.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-20T14:19:23.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-20T14:19:23.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-20T14:19:23.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-20T14:19:23.371Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18256.484 ms) ====== [2025-12-20T14:19:24.133Z] ----------------------------------- [2025-12-20T14:19:24.133Z] renaissance-movie-lens_0_PASSED [2025-12-20T14:19:24.133Z] ----------------------------------- [2025-12-20T14:19:24.133Z] [2025-12-20T14:19:24.133Z] TEST TEARDOWN: [2025-12-20T14:19:24.133Z] Nothing to be done for teardown. [2025-12-20T14:19:24.133Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 14:19:23 2025 Epoch Time (ms): 1766240363859