[2026-02-06T03:36:51.272Z] Running test renaissance-movie-lens_0 ... [2026-02-06T03:36:51.272Z] =============================================== [2026-02-06T03:36:51.272Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 03:36:50 2026 Epoch Time (ms): 1770349010655 [2026-02-06T03:36:51.272Z] variation: NoOptions [2026-02-06T03:36:51.272Z] JVM_OPTIONS: [2026-02-06T03:36:51.272Z] { \ [2026-02-06T03:36:51.272Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T03:36:51.272Z] echo "Nothing to be done for setup."; \ [2026-02-06T03:36:51.272Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703473699094/renaissance-movie-lens_0"; \ [2026-02-06T03:36:51.272Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703473699094/renaissance-movie-lens_0"; \ [2026-02-06T03:36:51.272Z] echo ""; echo "TESTING:"; \ [2026-02-06T03:36:51.272Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703473699094/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T03:36:51.272Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703473699094/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T03:36:51.272Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T03:36:51.272Z] echo "Nothing to be done for teardown."; \ [2026-02-06T03:36:51.272Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703473699094/TestTargetResult"; [2026-02-06T03:36:51.272Z] [2026-02-06T03:36:51.272Z] TEST SETUP: [2026-02-06T03:36:51.272Z] Nothing to be done for setup. [2026-02-06T03:36:51.272Z] [2026-02-06T03:36:51.272Z] TESTING: [2026-02-06T03:36:51.928Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-06T03:36:51.928Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17703473699094/renaissance-movie-lens_0/launcher-033650-15608144271912582506/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-06T03:36:51.928Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-06T03:36:51.928Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-06T03:36:59.499Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-06T03:37:10.498Z] 03:37:08.944 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-06T03:37:13.685Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T03:37:15.104Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T03:37:15.104Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T03:37:15.104Z] GC before operation: completed in 399.100 ms, heap usage 251.573 MB -> 75.754 MB. [2026-02-06T03:37:26.361Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:37:38.012Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:37:45.754Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:37:51.845Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:37:54.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:37:58.904Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:38:02.931Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:38:06.983Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:38:06.983Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:38:07.629Z] The best model improves the baseline by 14.34%. [2026-02-06T03:38:07.629Z] Top recommended movies for user id 72: [2026-02-06T03:38:07.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:38:07.629Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:38:07.629Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:38:07.629Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:38:07.629Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:38:07.629Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (52481.969 ms) ====== [2026-02-06T03:38:07.629Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T03:38:08.305Z] GC before operation: completed in 307.849 ms, heap usage 244.619 MB -> 98.172 MB. [2026-02-06T03:38:14.400Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:38:17.840Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:38:22.830Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:38:26.844Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:38:29.039Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:38:31.254Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:38:34.194Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:38:36.250Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:38:36.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:38:36.250Z] The best model improves the baseline by 14.34%. [2026-02-06T03:38:36.251Z] Top recommended movies for user id 72: [2026-02-06T03:38:36.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:38:36.251Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:38:36.251Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:38:36.251Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:38:36.251Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:38:36.251Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28392.774 ms) ====== [2026-02-06T03:38:36.251Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T03:38:36.878Z] GC before operation: completed in 193.275 ms, heap usage 245.902 MB -> 87.712 MB. [2026-02-06T03:38:40.897Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:38:44.856Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:38:48.664Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:38:52.576Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:38:54.709Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:38:56.900Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:39:00.016Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:39:02.248Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:39:02.248Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:39:02.248Z] The best model improves the baseline by 14.34%. [2026-02-06T03:39:02.248Z] Top recommended movies for user id 72: [2026-02-06T03:39:02.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:39:02.248Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:39:02.248Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:39:02.248Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:39:02.248Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:39:02.248Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25677.469 ms) ====== [2026-02-06T03:39:02.248Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T03:39:02.909Z] GC before operation: completed in 179.912 ms, heap usage 206.544 MB -> 88.319 MB. [2026-02-06T03:39:06.907Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:39:11.883Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:39:15.788Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:39:18.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:39:21.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:39:23.915Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:39:26.085Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:39:28.210Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:39:28.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:39:28.934Z] The best model improves the baseline by 14.34%. [2026-02-06T03:39:28.934Z] Top recommended movies for user id 72: [2026-02-06T03:39:28.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:39:28.934Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:39:28.934Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:39:28.934Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:39:28.934Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:39:28.934Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26175.746 ms) ====== [2026-02-06T03:39:28.934Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T03:39:28.934Z] GC before operation: completed in 207.122 ms, heap usage 241.744 MB -> 88.689 MB. [2026-02-06T03:39:32.995Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:39:36.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:39:40.928Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:39:45.286Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:39:47.492Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:39:49.671Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:39:52.696Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:39:54.848Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:39:55.534Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:39:55.534Z] The best model improves the baseline by 14.34%. [2026-02-06T03:39:55.534Z] Top recommended movies for user id 72: [2026-02-06T03:39:55.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:39:55.534Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:39:55.534Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:39:55.534Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:39:55.534Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:39:55.534Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26637.301 ms) ====== [2026-02-06T03:39:55.534Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T03:39:55.534Z] GC before operation: completed in 205.902 ms, heap usage 216.776 MB -> 90.372 MB. [2026-02-06T03:39:59.419Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:40:04.504Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:40:08.471Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:40:12.414Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:40:15.409Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:40:17.640Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:40:20.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:40:22.828Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:40:23.497Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:40:23.497Z] The best model improves the baseline by 14.34%. [2026-02-06T03:40:24.132Z] Top recommended movies for user id 72: [2026-02-06T03:40:24.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:40:24.132Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:40:24.132Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:40:24.132Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:40:24.132Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:40:24.132Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28062.812 ms) ====== [2026-02-06T03:40:24.132Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T03:40:24.132Z] GC before operation: completed in 236.875 ms, heap usage 242.767 MB -> 89.164 MB. [2026-02-06T03:40:28.397Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:40:33.285Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:40:38.315Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:40:42.254Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:40:44.387Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:40:47.444Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:40:49.704Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:40:51.830Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:40:52.533Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:40:52.533Z] The best model improves the baseline by 14.34%. [2026-02-06T03:40:52.533Z] Top recommended movies for user id 72: [2026-02-06T03:40:52.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:40:52.533Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:40:52.533Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:40:52.533Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:40:52.533Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:40:52.533Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28639.052 ms) ====== [2026-02-06T03:40:52.533Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T03:40:53.188Z] GC before operation: completed in 314.806 ms, heap usage 242.542 MB -> 89.025 MB. [2026-02-06T03:40:57.161Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:41:01.261Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:41:05.562Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:41:09.433Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:41:10.822Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:41:12.935Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:41:15.906Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:41:17.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:41:17.974Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:41:18.624Z] The best model improves the baseline by 14.34%. [2026-02-06T03:41:18.624Z] Top recommended movies for user id 72: [2026-02-06T03:41:18.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:41:18.624Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:41:18.624Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:41:18.624Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:41:18.624Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:41:18.624Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25515.482 ms) ====== [2026-02-06T03:41:18.624Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T03:41:18.624Z] GC before operation: completed in 179.610 ms, heap usage 221.163 MB -> 89.230 MB. [2026-02-06T03:41:21.467Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:41:25.327Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:41:28.150Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:41:32.134Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:41:33.482Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:41:35.575Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:41:38.518Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:41:40.602Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:41:40.602Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:41:40.602Z] The best model improves the baseline by 14.34%. [2026-02-06T03:41:40.602Z] Top recommended movies for user id 72: [2026-02-06T03:41:40.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:41:40.602Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:41:40.602Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:41:40.602Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:41:40.602Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:41:40.602Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22118.424 ms) ====== [2026-02-06T03:41:40.602Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T03:41:41.255Z] GC before operation: completed in 201.163 ms, heap usage 198.915 MB -> 88.992 MB. [2026-02-06T03:41:45.275Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:41:48.657Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:41:52.575Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:41:56.401Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:41:58.565Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:42:00.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:42:02.762Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:42:04.111Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:42:04.758Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:42:04.758Z] The best model improves the baseline by 14.34%. [2026-02-06T03:42:04.758Z] Top recommended movies for user id 72: [2026-02-06T03:42:04.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:42:04.758Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:42:04.758Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:42:04.758Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:42:04.758Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:42:04.758Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23826.346 ms) ====== [2026-02-06T03:42:04.758Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T03:42:05.384Z] GC before operation: completed in 212.088 ms, heap usage 108.428 MB -> 89.060 MB. [2026-02-06T03:42:08.283Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:42:11.248Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:42:14.142Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:42:17.181Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:42:18.542Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:42:20.564Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:42:21.886Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:42:23.166Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:42:23.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:42:23.801Z] The best model improves the baseline by 14.34%. [2026-02-06T03:42:23.801Z] Top recommended movies for user id 72: [2026-02-06T03:42:23.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:42:23.801Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:42:23.801Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:42:23.801Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:42:23.801Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:42:23.801Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18716.671 ms) ====== [2026-02-06T03:42:23.801Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T03:42:23.801Z] GC before operation: completed in 162.899 ms, heap usage 422.152 MB -> 89.367 MB. [2026-02-06T03:42:26.775Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:42:29.994Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:42:33.875Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:42:36.806Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:42:39.763Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:42:41.945Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:42:44.102Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:42:47.199Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:42:47.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:42:47.199Z] The best model improves the baseline by 14.34%. [2026-02-06T03:42:47.865Z] Top recommended movies for user id 72: [2026-02-06T03:42:47.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:42:47.865Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:42:47.865Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:42:47.865Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:42:47.865Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:42:47.865Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23619.286 ms) ====== [2026-02-06T03:42:47.865Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T03:42:47.865Z] GC before operation: completed in 210.281 ms, heap usage 242.335 MB -> 89.187 MB. [2026-02-06T03:42:52.875Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:42:55.934Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:43:02.114Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:43:07.234Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:43:09.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:43:12.742Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:43:14.945Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:43:17.920Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:43:17.920Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:43:17.920Z] The best model improves the baseline by 14.34%. [2026-02-06T03:43:18.639Z] Top recommended movies for user id 72: [2026-02-06T03:43:18.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:43:18.639Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:43:18.639Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:43:18.639Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:43:18.639Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:43:18.639Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30521.187 ms) ====== [2026-02-06T03:43:18.639Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T03:43:18.639Z] GC before operation: completed in 281.460 ms, heap usage 202.225 MB -> 89.206 MB. [2026-02-06T03:43:22.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:43:26.673Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:43:31.800Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:43:34.732Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:43:37.785Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:43:39.982Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:43:42.949Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:43:45.064Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:43:45.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:43:45.064Z] The best model improves the baseline by 14.34%. [2026-02-06T03:43:45.064Z] Top recommended movies for user id 72: [2026-02-06T03:43:45.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:43:45.064Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:43:45.064Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:43:45.064Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:43:45.064Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:43:45.064Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26563.263 ms) ====== [2026-02-06T03:43:45.064Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T03:43:45.064Z] GC before operation: completed in 193.248 ms, heap usage 383.809 MB -> 89.410 MB. [2026-02-06T03:43:48.957Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:43:52.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:43:56.230Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:44:00.196Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:44:02.294Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:44:04.503Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:44:06.686Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:44:08.735Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:44:08.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:44:09.358Z] The best model improves the baseline by 14.34%. [2026-02-06T03:44:09.358Z] Top recommended movies for user id 72: [2026-02-06T03:44:09.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:44:09.358Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:44:09.358Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:44:09.358Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:44:09.358Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:44:09.358Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23846.365 ms) ====== [2026-02-06T03:44:09.358Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T03:44:09.358Z] GC before operation: completed in 176.494 ms, heap usage 140.445 MB -> 89.311 MB. [2026-02-06T03:44:12.305Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:44:16.276Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:44:19.217Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:44:22.151Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:44:24.217Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:44:25.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:44:27.577Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:44:29.618Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:44:29.618Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:44:29.618Z] The best model improves the baseline by 14.34%. [2026-02-06T03:44:30.300Z] Top recommended movies for user id 72: [2026-02-06T03:44:30.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:44:30.300Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:44:30.300Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:44:30.300Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:44:30.300Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:44:30.300Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20684.751 ms) ====== [2026-02-06T03:44:30.300Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T03:44:30.300Z] GC before operation: completed in 182.117 ms, heap usage 402.883 MB -> 89.487 MB. [2026-02-06T03:44:33.010Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:44:37.029Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:44:39.947Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:44:43.894Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:44:46.084Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:44:48.204Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:44:51.086Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:44:53.251Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:44:53.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:44:53.251Z] The best model improves the baseline by 14.34%. [2026-02-06T03:44:53.251Z] Top recommended movies for user id 72: [2026-02-06T03:44:53.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:44:53.251Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:44:53.251Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:44:53.251Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:44:53.251Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:44:53.251Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23265.639 ms) ====== [2026-02-06T03:44:53.251Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T03:44:53.875Z] GC before operation: completed in 161.750 ms, heap usage 220.801 MB -> 89.325 MB. [2026-02-06T03:44:56.844Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:45:01.767Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:45:05.681Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:45:10.631Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:45:12.787Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:45:16.290Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:45:18.524Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:45:20.692Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:45:21.336Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:45:21.336Z] The best model improves the baseline by 14.34%. [2026-02-06T03:45:21.336Z] Top recommended movies for user id 72: [2026-02-06T03:45:21.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:45:21.336Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:45:21.336Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:45:21.336Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:45:21.336Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:45:21.336Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27817.296 ms) ====== [2026-02-06T03:45:21.336Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T03:45:21.985Z] GC before operation: completed in 251.212 ms, heap usage 413.882 MB -> 89.468 MB. [2026-02-06T03:45:27.040Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:45:31.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:45:36.173Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:45:41.205Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:45:44.308Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:45:46.545Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:45:49.631Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:45:52.645Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:45:52.645Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:45:52.645Z] The best model improves the baseline by 14.34%. [2026-02-06T03:45:53.445Z] Top recommended movies for user id 72: [2026-02-06T03:45:53.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:45:53.445Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:45:53.445Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:45:53.445Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:45:53.445Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:45:53.445Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31368.066 ms) ====== [2026-02-06T03:45:53.445Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T03:45:53.445Z] GC before operation: completed in 331.462 ms, heap usage 140.907 MB -> 89.159 MB. [2026-02-06T03:45:57.834Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T03:46:02.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T03:46:07.694Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T03:46:10.776Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T03:46:13.854Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T03:46:16.936Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T03:46:19.917Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T03:46:22.942Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T03:46:22.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T03:46:22.942Z] The best model improves the baseline by 14.34%. [2026-02-06T03:46:23.622Z] Top recommended movies for user id 72: [2026-02-06T03:46:23.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T03:46:23.623Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T03:46:23.623Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T03:46:23.623Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T03:46:23.623Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T03:46:23.623Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (29951.119 ms) ====== [2026-02-06T03:46:24.302Z] ----------------------------------- [2026-02-06T03:46:24.302Z] renaissance-movie-lens_0_PASSED [2026-02-06T03:46:24.302Z] ----------------------------------- [2026-02-06T03:46:24.302Z] [2026-02-06T03:46:24.302Z] TEST TEARDOWN: [2026-02-06T03:46:24.302Z] Nothing to be done for teardown. [2026-02-06T03:46:24.302Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 03:46:23 2026 Epoch Time (ms): 1770349583653