[2026-03-17T22:16:27.416Z] Running test renaissance-movie-lens_0 ... [2026-03-17T22:16:27.416Z] =============================================== [2026-03-17T22:16:27.416Z] renaissance-movie-lens_0 Start Time: Tue Mar 17 22:16:27 2026 Epoch Time (ms): 1773785787235 [2026-03-17T22:16:27.416Z] variation: NoOptions [2026-03-17T22:16:27.416Z] JVM_OPTIONS: [2026-03-17T22:16:27.416Z] { \ [2026-03-17T22:16:27.416Z] echo ""; echo "TEST SETUP:"; \ [2026-03-17T22:16:27.416Z] echo "Nothing to be done for setup."; \ [2026-03-17T22:16:27.416Z] mkdir -p "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17737847804490/renaissance-movie-lens_0"; \ [2026-03-17T22:16:27.416Z] cd "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17737847804490/renaissance-movie-lens_0"; \ [2026-03-17T22:16:27.416Z] echo ""; echo "TESTING:"; \ [2026-03-17T22:16:27.417Z] "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_s390x_linux_rerun/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_openjdk26_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17737847804490/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-17T22:16:27.417Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk26_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17737847804490/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-17T22:16:27.417Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-17T22:16:27.417Z] echo "Nothing to be done for teardown."; \ [2026-03-17T22:16:27.417Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17737847804490/TestTargetResult"; [2026-03-17T22:16:27.417Z] [2026-03-17T22:16:27.417Z] TEST SETUP: [2026-03-17T22:16:27.417Z] Nothing to be done for setup. [2026-03-17T22:16:27.417Z] [2026-03-17T22:16:27.417Z] TESTING: [2026-03-17T22:16:28.892Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-17T22:16:28.892Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-17T22:16:28.892Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-17T22:16:28.892Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-17T22:16:38.532Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-17T22:16:44.918Z] 22:16:44.823 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-17T22:16:49.100Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-17T22:16:49.808Z] Training: 60056, validation: 20285, test: 19854 [2026-03-17T22:16:49.808Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-17T22:16:49.808Z] GC before operation: completed in 246.554 ms, heap usage 342.500 MB -> 76.817 MB. [2026-03-17T22:16:57.992Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:17:03.642Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:17:09.014Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:17:13.079Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:17:15.332Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:17:18.533Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:17:21.642Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:17:24.030Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:17:24.030Z] 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. [2026-03-17T22:17:24.030Z] The best model improves the baseline by 14.34%. [2026-03-17T22:17:24.732Z] Top recommended movies for user id 72: [2026-03-17T22:17:24.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:17:24.732Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:17:24.732Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:17:24.732Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:17:24.732Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:17:24.732Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34764.855 ms) ====== [2026-03-17T22:17:24.732Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-17T22:17:24.732Z] GC before operation: completed in 290.638 ms, heap usage 258.872 MB -> 94.435 MB. [2026-03-17T22:17:28.723Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:17:32.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:17:36.545Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:17:40.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:17:42.885Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:17:45.119Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:17:48.292Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:17:50.484Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:17:50.484Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-17T22:17:50.484Z] The best model improves the baseline by 14.34%. [2026-03-17T22:17:51.163Z] Top recommended movies for user id 72: [2026-03-17T22:17:51.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:17:51.163Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:17:51.163Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:17:51.163Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:17:51.163Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:17:51.163Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26164.537 ms) ====== [2026-03-17T22:17:51.163Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-17T22:17:51.163Z] GC before operation: completed in 226.862 ms, heap usage 158.128 MB -> 88.965 MB. [2026-03-17T22:17:55.173Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:17:58.153Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:18:02.251Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:18:05.274Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:18:07.553Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:18:09.772Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:18:12.014Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:18:14.370Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:18:14.371Z] 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. [2026-03-17T22:18:14.371Z] The best model improves the baseline by 14.34%. [2026-03-17T22:18:14.371Z] Top recommended movies for user id 72: [2026-03-17T22:18:14.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:18:14.371Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:18:14.371Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:18:14.371Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:18:14.371Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:18:14.371Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23400.082 ms) ====== [2026-03-17T22:18:14.371Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-17T22:18:15.132Z] GC before operation: completed in 253.870 ms, heap usage 243.669 MB -> 89.814 MB. [2026-03-17T22:18:18.272Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:18:22.092Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:18:25.805Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:18:28.926Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:18:31.202Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:18:33.460Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:18:35.689Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:18:37.895Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:18:37.895Z] 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. [2026-03-17T22:18:37.895Z] The best model improves the baseline by 14.34%. [2026-03-17T22:18:38.566Z] Top recommended movies for user id 72: [2026-03-17T22:18:38.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:18:38.566Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:18:38.566Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:18:38.566Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:18:38.566Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:18:38.566Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23548.111 ms) ====== [2026-03-17T22:18:38.566Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-17T22:18:38.566Z] GC before operation: completed in 206.405 ms, heap usage 352.648 MB -> 90.350 MB. [2026-03-17T22:18:41.638Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:18:45.612Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:18:48.651Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:18:51.634Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:18:53.834Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:18:56.050Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:18:57.443Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:18:59.624Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:18:59.624Z] 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. [2026-03-17T22:18:59.624Z] The best model improves the baseline by 14.34%. [2026-03-17T22:19:00.287Z] Top recommended movies for user id 72: [2026-03-17T22:19:00.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:19:00.288Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:19:00.288Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:19:00.288Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:19:00.288Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:19:00.288Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21400.692 ms) ====== [2026-03-17T22:19:00.288Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-17T22:19:00.288Z] GC before operation: completed in 198.839 ms, heap usage 353.063 MB -> 90.287 MB. [2026-03-17T22:19:03.718Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:19:06.869Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:19:13.362Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:19:13.362Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:19:16.063Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:19:17.504Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:19:19.710Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:19:21.882Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:19:22.617Z] 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. [2026-03-17T22:19:22.617Z] The best model improves the baseline by 14.34%. [2026-03-17T22:19:22.617Z] Top recommended movies for user id 72: [2026-03-17T22:19:22.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:19:22.617Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:19:22.617Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:19:22.617Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:19:22.617Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:19:22.617Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22217.673 ms) ====== [2026-03-17T22:19:22.617Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-17T22:19:22.617Z] GC before operation: completed in 221.046 ms, heap usage 416.866 MB -> 90.705 MB. [2026-03-17T22:19:26.171Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:19:30.373Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:19:34.355Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:19:37.434Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:19:40.504Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:19:42.094Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:19:44.379Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:19:46.655Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:19:47.392Z] 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. [2026-03-17T22:19:47.392Z] The best model improves the baseline by 14.34%. [2026-03-17T22:19:47.392Z] Top recommended movies for user id 72: [2026-03-17T22:19:47.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:19:47.392Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:19:47.392Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:19:47.392Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:19:47.392Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:19:47.392Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24655.329 ms) ====== [2026-03-17T22:19:47.392Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-17T22:19:47.392Z] GC before operation: completed in 345.099 ms, heap usage 743.212 MB -> 94.955 MB. [2026-03-17T22:19:51.395Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:19:54.505Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:19:58.447Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:20:01.592Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:20:03.030Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:20:04.982Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:20:07.242Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:20:09.420Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:20:09.420Z] 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. [2026-03-17T22:20:09.420Z] The best model improves the baseline by 14.34%. [2026-03-17T22:20:09.420Z] Top recommended movies for user id 72: [2026-03-17T22:20:09.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:20:09.420Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:20:09.420Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:20:09.420Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:20:09.420Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:20:09.420Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21944.558 ms) ====== [2026-03-17T22:20:09.420Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-17T22:20:10.104Z] GC before operation: completed in 185.714 ms, heap usage 886.998 MB -> 95.956 MB. [2026-03-17T22:20:13.176Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:20:17.178Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:20:20.280Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:20:23.410Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:20:24.873Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:20:26.341Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:20:29.432Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:20:30.822Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:20:30.822Z] 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. [2026-03-17T22:20:31.522Z] The best model improves the baseline by 14.34%. [2026-03-17T22:20:31.522Z] Top recommended movies for user id 72: [2026-03-17T22:20:31.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:20:31.522Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:20:31.522Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:20:31.522Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:20:31.522Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:20:31.522Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21729.458 ms) ====== [2026-03-17T22:20:31.522Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-17T22:20:31.522Z] GC before operation: completed in 216.171 ms, heap usage 229.682 MB -> 90.411 MB. [2026-03-17T22:20:35.609Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:20:38.702Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:20:42.731Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:20:45.892Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:20:48.122Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:20:49.522Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:20:51.752Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:20:53.953Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:20:53.953Z] 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. [2026-03-17T22:20:53.953Z] The best model improves the baseline by 14.34%. [2026-03-17T22:20:53.953Z] Top recommended movies for user id 72: [2026-03-17T22:20:53.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:20:53.953Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:20:53.953Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:20:53.953Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:20:53.953Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:20:53.953Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22430.734 ms) ====== [2026-03-17T22:20:53.953Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-17T22:20:55.397Z] GC before operation: completed in 256.596 ms, heap usage 948.247 MB -> 96.266 MB. [2026-03-17T22:20:58.533Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:21:01.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:21:05.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:21:08.416Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:21:10.707Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:21:13.022Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:21:15.340Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:21:18.078Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:21:18.078Z] 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. [2026-03-17T22:21:18.078Z] The best model improves the baseline by 14.34%. [2026-03-17T22:21:18.078Z] Top recommended movies for user id 72: [2026-03-17T22:21:18.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:21:18.078Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:21:18.078Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:21:18.078Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:21:18.078Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:21:18.078Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22954.918 ms) ====== [2026-03-17T22:21:18.078Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-17T22:21:18.078Z] GC before operation: completed in 221.630 ms, heap usage 251.800 MB -> 90.337 MB. [2026-03-17T22:21:21.149Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:21:25.233Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:21:28.309Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:21:31.432Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:21:33.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:21:35.865Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:21:38.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:21:39.509Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:21:40.227Z] 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. [2026-03-17T22:21:40.228Z] The best model improves the baseline by 14.34%. [2026-03-17T22:21:40.228Z] Top recommended movies for user id 72: [2026-03-17T22:21:40.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:21:40.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:21:40.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:21:40.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:21:40.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:21:40.228Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22491.605 ms) ====== [2026-03-17T22:21:40.228Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-17T22:21:40.228Z] GC before operation: completed in 224.667 ms, heap usage 112.904 MB -> 90.341 MB. [2026-03-17T22:21:44.189Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:21:47.511Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:21:52.955Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:21:54.406Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:21:56.696Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:21:59.881Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:22:01.401Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:22:03.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:22:04.444Z] 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. [2026-03-17T22:22:04.444Z] The best model improves the baseline by 14.34%. [2026-03-17T22:22:04.444Z] Top recommended movies for user id 72: [2026-03-17T22:22:04.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:22:04.444Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:22:04.444Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:22:04.444Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:22:04.444Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:22:04.444Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24259.632 ms) ====== [2026-03-17T22:22:04.444Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-17T22:22:05.114Z] GC before operation: completed in 246.270 ms, heap usage 253.481 MB -> 90.742 MB. [2026-03-17T22:22:08.279Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:22:12.488Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:22:15.622Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:22:19.190Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:22:21.423Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:22:22.839Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:22:25.091Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:22:27.355Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:22:27.355Z] 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. [2026-03-17T22:22:28.102Z] The best model improves the baseline by 14.34%. [2026-03-17T22:22:28.102Z] Top recommended movies for user id 72: [2026-03-17T22:22:28.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:22:28.102Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:22:28.102Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:22:28.102Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:22:28.102Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:22:28.102Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23024.579 ms) ====== [2026-03-17T22:22:28.102Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-17T22:22:28.102Z] GC before operation: completed in 188.102 ms, heap usage 209.492 MB -> 90.428 MB. [2026-03-17T22:22:32.270Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:22:35.344Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:22:38.480Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:22:41.648Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:22:44.112Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:22:45.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:22:47.878Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:22:50.134Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:22:50.134Z] 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. [2026-03-17T22:22:50.134Z] The best model improves the baseline by 14.34%. [2026-03-17T22:22:50.851Z] Top recommended movies for user id 72: [2026-03-17T22:22:50.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:22:50.851Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:22:50.851Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:22:50.851Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:22:50.851Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:22:50.851Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22579.297 ms) ====== [2026-03-17T22:22:50.851Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-17T22:22:50.851Z] GC before operation: completed in 328.013 ms, heap usage 109.622 MB -> 90.949 MB. [2026-03-17T22:22:54.993Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:22:59.013Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:23:02.089Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:23:05.123Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:23:07.387Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:23:09.576Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:23:11.040Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:23:13.257Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:23:13.257Z] 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. [2026-03-17T22:23:13.953Z] The best model improves the baseline by 14.34%. [2026-03-17T22:23:13.953Z] Top recommended movies for user id 72: [2026-03-17T22:23:13.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:23:13.953Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:23:13.953Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:23:13.953Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:23:13.953Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:23:13.953Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22814.402 ms) ====== [2026-03-17T22:23:13.953Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-17T22:23:13.953Z] GC before operation: completed in 221.017 ms, heap usage 204.951 MB -> 90.460 MB. [2026-03-17T22:23:17.163Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:23:20.435Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:23:24.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:23:27.676Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:23:29.933Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:23:32.145Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:23:34.659Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:23:36.176Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:23:36.176Z] 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. [2026-03-17T22:23:36.176Z] The best model improves the baseline by 14.34%. [2026-03-17T22:23:36.844Z] Top recommended movies for user id 72: [2026-03-17T22:23:36.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:23:36.844Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:23:36.844Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:23:36.844Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:23:36.844Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:23:36.844Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22653.459 ms) ====== [2026-03-17T22:23:36.844Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-17T22:23:36.844Z] GC before operation: completed in 286.870 ms, heap usage 223.540 MB -> 90.611 MB. [2026-03-17T22:23:39.985Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:23:44.429Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:23:47.452Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:23:50.527Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:23:51.982Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:23:54.155Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:23:55.701Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:23:57.875Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:23:57.875Z] 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. [2026-03-17T22:23:57.875Z] The best model improves the baseline by 14.34%. [2026-03-17T22:23:58.599Z] Top recommended movies for user id 72: [2026-03-17T22:23:58.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:23:58.599Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:23:58.599Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:23:58.599Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:23:58.599Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:23:58.599Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21400.868 ms) ====== [2026-03-17T22:23:58.599Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-17T22:23:58.599Z] GC before operation: completed in 207.124 ms, heap usage 398.662 MB -> 90.797 MB. [2026-03-17T22:24:01.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:24:04.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:24:08.052Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:24:11.248Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:24:13.434Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:24:14.828Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:24:17.001Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:24:18.398Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:24:19.117Z] 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. [2026-03-17T22:24:19.117Z] The best model improves the baseline by 14.34%. [2026-03-17T22:24:19.117Z] Top recommended movies for user id 72: [2026-03-17T22:24:19.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:24:19.117Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:24:19.117Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:24:19.117Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:24:19.117Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:24:19.117Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20540.154 ms) ====== [2026-03-17T22:24:19.117Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-17T22:24:19.117Z] GC before operation: completed in 260.790 ms, heap usage 205.253 MB -> 90.462 MB. [2026-03-17T22:24:22.205Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-17T22:24:25.514Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-17T22:24:28.576Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-17T22:24:31.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-17T22:24:33.002Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-17T22:24:34.329Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-17T22:24:36.491Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-17T22:24:37.872Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-17T22:24:38.563Z] 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. [2026-03-17T22:24:38.563Z] The best model improves the baseline by 14.34%. [2026-03-17T22:24:38.563Z] Top recommended movies for user id 72: [2026-03-17T22:24:38.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-17T22:24:38.563Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-17T22:24:38.563Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-17T22:24:38.563Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-17T22:24:38.563Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-17T22:24:38.563Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19076.868 ms) ====== [2026-03-17T22:24:39.229Z] ----------------------------------- [2026-03-17T22:24:39.229Z] renaissance-movie-lens_0_PASSED [2026-03-17T22:24:39.229Z] ----------------------------------- [2026-03-17T22:24:39.229Z] [2026-03-17T22:24:39.229Z] TEST TEARDOWN: [2026-03-17T22:24:39.229Z] Nothing to be done for teardown. [2026-03-17T22:24:39.229Z] renaissance-movie-lens_0 Finish Time: Tue Mar 17 22:24:39 2026 Epoch Time (ms): 1773786279124