[2026-03-25T15:54:43.199Z] Running test renaissance-movie-lens_0 ... [2026-03-25T15:54:43.199Z] =============================================== [2026-03-25T15:54:43.199Z] renaissance-movie-lens_0 Start Time: Wed Mar 25 15:54:42 2026 Epoch Time (ms): 1774454082635 [2026-03-25T15:54:43.199Z] variation: NoOptions [2026-03-25T15:54:43.199Z] JVM_OPTIONS: [2026-03-25T15:54:43.199Z] { \ [2026-03-25T15:54:43.199Z] echo ""; echo "TEST SETUP:"; \ [2026-03-25T15:54:43.199Z] echo "Nothing to be done for setup."; \ [2026-03-25T15:54:43.199Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17744532091910/renaissance-movie-lens_0"; \ [2026-03-25T15:54:43.199Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17744532091910/renaissance-movie-lens_0"; \ [2026-03-25T15:54:43.199Z] echo ""; echo "TESTING:"; \ [2026-03-25T15:54:43.199Z] "/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_17744532091910/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-25T15:54:43.199Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17744532091910/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-25T15:54:43.199Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-25T15:54:43.199Z] echo "Nothing to be done for teardown."; \ [2026-03-25T15:54:43.199Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17744532091910/TestTargetResult"; [2026-03-25T15:54:43.199Z] [2026-03-25T15:54:43.199Z] TEST SETUP: [2026-03-25T15:54:43.199Z] Nothing to be done for setup. [2026-03-25T15:54:43.199Z] [2026-03-25T15:54:43.199Z] TESTING: [2026-03-25T15:54:43.827Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-25T15:54:43.827Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17744532091910/renaissance-movie-lens_0/launcher-155442-5371196241801507365/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-25T15:54:43.827Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-25T15:54:43.827Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-25T15:54:48.962Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-25T15:54:54.852Z] 15:54:54.338 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. [2026-03-25T15:54:56.901Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-25T15:54:57.527Z] Training: 60056, validation: 20285, test: 19854 [2026-03-25T15:54:57.527Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-25T15:54:58.157Z] GC before operation: completed in 244.665 ms, heap usage 296.180 MB -> 75.517 MB. [2026-03-25T15:55:04.078Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:55:07.856Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:55:10.803Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:55:14.588Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:55:15.919Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:55:18.000Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:55:20.069Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:55:22.200Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:55:22.200Z] 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. [2026-03-25T15:55:22.200Z] The best model improves the baseline by 14.34%. [2026-03-25T15:55:22.200Z] Top recommended movies for user id 72: [2026-03-25T15:55:22.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:55:22.200Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:55:22.200Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:55:22.200Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:55:22.200Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:55:22.200Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24416.734 ms) ====== [2026-03-25T15:55:22.200Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-25T15:55:22.839Z] GC before operation: completed in 234.227 ms, heap usage 196.017 MB -> 93.702 MB. [2026-03-25T15:55:25.697Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:55:28.609Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:55:31.537Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:55:34.429Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:55:35.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:55:37.449Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:55:39.527Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:55:40.854Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:55:40.854Z] 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. [2026-03-25T15:55:40.854Z] The best model improves the baseline by 14.34%. [2026-03-25T15:55:41.485Z] Top recommended movies for user id 72: [2026-03-25T15:55:41.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:55:41.485Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:55:41.485Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:55:41.485Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:55:41.485Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:55:41.485Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18600.826 ms) ====== [2026-03-25T15:55:41.485Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-25T15:55:41.485Z] GC before operation: completed in 198.640 ms, heap usage 125.628 MB -> 87.524 MB. [2026-03-25T15:55:44.336Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:55:47.275Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:55:49.354Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:55:52.257Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:55:53.559Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:55:54.862Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:55:56.925Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:55:58.247Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:55:58.876Z] 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. [2026-03-25T15:55:58.876Z] The best model improves the baseline by 14.34%. [2026-03-25T15:55:58.876Z] Top recommended movies for user id 72: [2026-03-25T15:55:58.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:55:58.876Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:55:58.876Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:55:58.876Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:55:58.876Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:55:58.876Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17406.803 ms) ====== [2026-03-25T15:55:58.876Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-25T15:55:58.876Z] GC before operation: completed in 202.688 ms, heap usage 110.946 MB -> 88.237 MB. [2026-03-25T15:56:01.743Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:56:04.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:56:06.669Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:56:08.707Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:56:10.759Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:56:12.061Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:56:13.363Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:56:14.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:56:15.299Z] 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. [2026-03-25T15:56:15.299Z] The best model improves the baseline by 14.34%. [2026-03-25T15:56:15.299Z] Top recommended movies for user id 72: [2026-03-25T15:56:15.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:56:15.299Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:56:15.299Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:56:15.299Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:56:15.299Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:56:15.299Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16264.761 ms) ====== [2026-03-25T15:56:15.299Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-25T15:56:15.299Z] GC before operation: completed in 178.279 ms, heap usage 140.264 MB -> 88.581 MB. [2026-03-25T15:56:18.200Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:56:20.238Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:56:23.485Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:56:25.527Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:56:26.831Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:56:28.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:56:29.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:56:31.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:56:31.476Z] 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. [2026-03-25T15:56:31.476Z] The best model improves the baseline by 14.34%. [2026-03-25T15:56:31.476Z] Top recommended movies for user id 72: [2026-03-25T15:56:31.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:56:31.476Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:56:31.476Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:56:31.476Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:56:31.476Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:56:31.476Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16034.729 ms) ====== [2026-03-25T15:56:31.476Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-25T15:56:31.476Z] GC before operation: completed in 179.730 ms, heap usage 405.761 MB -> 88.921 MB. [2026-03-25T15:56:35.237Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:56:37.277Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:56:40.138Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:56:41.440Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:56:42.772Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:56:44.815Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:56:46.113Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:56:47.415Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:56:47.416Z] 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. [2026-03-25T15:56:47.416Z] The best model improves the baseline by 14.34%. [2026-03-25T15:56:47.416Z] Top recommended movies for user id 72: [2026-03-25T15:56:47.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:56:47.416Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:56:47.416Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:56:47.416Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:56:47.416Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:56:47.416Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15816.452 ms) ====== [2026-03-25T15:56:47.416Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-25T15:56:48.049Z] GC before operation: completed in 175.364 ms, heap usage 169.409 MB -> 88.943 MB. [2026-03-25T15:56:50.086Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:56:52.122Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:56:54.967Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:56:57.001Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:56:58.300Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:57:00.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:57:01.636Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:57:02.937Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:57:02.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-25T15:57:02.937Z] The best model improves the baseline by 14.34%. [2026-03-25T15:57:02.937Z] Top recommended movies for user id 72: [2026-03-25T15:57:02.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:57:02.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:57:02.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:57:02.937Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:57:02.937Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:57:02.937Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15416.824 ms) ====== [2026-03-25T15:57:02.937Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-25T15:57:03.564Z] GC before operation: completed in 170.586 ms, heap usage 220.628 MB -> 88.937 MB. [2026-03-25T15:57:05.598Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:57:08.044Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:57:10.091Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:57:12.129Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:57:13.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:57:14.744Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:57:16.059Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:57:17.362Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:57:17.362Z] 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. [2026-03-25T15:57:17.362Z] The best model improves the baseline by 14.34%. [2026-03-25T15:57:17.991Z] Top recommended movies for user id 72: [2026-03-25T15:57:17.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:57:17.991Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:57:17.991Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:57:17.991Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:57:17.991Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:57:17.991Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14413.934 ms) ====== [2026-03-25T15:57:17.991Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-25T15:57:17.991Z] GC before operation: completed in 155.547 ms, heap usage 202.669 MB -> 89.213 MB. [2026-03-25T15:57:20.039Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:57:22.089Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:57:24.934Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:57:26.977Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:57:28.283Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:57:29.586Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:57:30.893Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:57:32.199Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:57:32.827Z] 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. [2026-03-25T15:57:32.827Z] The best model improves the baseline by 14.34%. [2026-03-25T15:57:32.827Z] Top recommended movies for user id 72: [2026-03-25T15:57:32.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:57:32.827Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:57:32.827Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:57:32.827Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:57:32.827Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:57:32.827Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14992.916 ms) ====== [2026-03-25T15:57:32.827Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-25T15:57:32.827Z] GC before operation: completed in 166.194 ms, heap usage 236.408 MB -> 88.996 MB. [2026-03-25T15:57:36.085Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:57:38.139Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:57:40.184Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:57:42.224Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:57:43.547Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:57:44.856Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:57:47.008Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:57:48.327Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:57:48.327Z] 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. [2026-03-25T15:57:48.327Z] The best model improves the baseline by 14.34%. [2026-03-25T15:57:48.327Z] Top recommended movies for user id 72: [2026-03-25T15:57:48.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:57:48.327Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:57:48.327Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:57:48.327Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:57:48.327Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:57:48.327Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15404.052 ms) ====== [2026-03-25T15:57:48.327Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-25T15:57:48.327Z] GC before operation: completed in 135.904 ms, heap usage 167.972 MB -> 89.082 MB. [2026-03-25T15:57:51.175Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:57:53.597Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:57:55.634Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:57:57.675Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:57:58.976Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:58:00.289Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:58:01.590Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:58:03.629Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:58:03.629Z] 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. [2026-03-25T15:58:03.629Z] The best model improves the baseline by 14.34%. [2026-03-25T15:58:03.629Z] Top recommended movies for user id 72: [2026-03-25T15:58:03.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:58:03.629Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:58:03.629Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:58:03.629Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:58:03.629Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:58:03.629Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15019.350 ms) ====== [2026-03-25T15:58:03.629Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-25T15:58:03.629Z] GC before operation: completed in 150.293 ms, heap usage 203.236 MB -> 88.921 MB. [2026-03-25T15:58:05.726Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:58:08.585Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:58:10.624Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:58:12.663Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:58:13.975Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:58:15.303Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:58:17.337Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:58:17.990Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:58:18.616Z] 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. [2026-03-25T15:58:18.616Z] The best model improves the baseline by 14.34%. [2026-03-25T15:58:18.616Z] Top recommended movies for user id 72: [2026-03-25T15:58:18.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:58:18.616Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:58:18.616Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:58:18.616Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:58:18.616Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:58:18.616Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14759.786 ms) ====== [2026-03-25T15:58:18.616Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-25T15:58:18.617Z] GC before operation: completed in 119.820 ms, heap usage 160.955 MB -> 89.080 MB. [2026-03-25T15:58:20.652Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:58:22.686Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:58:25.532Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:58:28.579Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:58:28.579Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:58:29.881Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:58:31.182Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:58:32.488Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:58:33.114Z] 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. [2026-03-25T15:58:33.114Z] The best model improves the baseline by 14.34%. [2026-03-25T15:58:33.114Z] Top recommended movies for user id 72: [2026-03-25T15:58:33.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:58:33.114Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:58:33.114Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:58:33.114Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:58:33.114Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:58:33.114Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14391.736 ms) ====== [2026-03-25T15:58:33.114Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-25T15:58:33.114Z] GC before operation: completed in 137.877 ms, heap usage 164.624 MB -> 89.187 MB. [2026-03-25T15:58:35.148Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:58:37.999Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:58:40.037Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:58:42.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:58:43.386Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:58:44.685Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:58:45.989Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:58:47.289Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:58:47.289Z] 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. [2026-03-25T15:58:47.289Z] The best model improves the baseline by 14.34%. [2026-03-25T15:58:47.942Z] Top recommended movies for user id 72: [2026-03-25T15:58:47.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:58:47.942Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:58:47.942Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:58:47.942Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:58:47.942Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:58:47.942Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14420.678 ms) ====== [2026-03-25T15:58:47.942Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-25T15:58:47.942Z] GC before operation: completed in 139.043 ms, heap usage 199.145 MB -> 90.204 MB. [2026-03-25T15:58:49.983Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:58:52.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:58:54.059Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:58:56.096Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:58:57.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:58:58.695Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:58:59.992Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:59:01.290Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:59:01.290Z] 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. [2026-03-25T15:59:01.290Z] The best model improves the baseline by 14.34%. [2026-03-25T15:59:01.290Z] Top recommended movies for user id 72: [2026-03-25T15:59:01.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:59:01.290Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:59:01.290Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:59:01.290Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:59:01.290Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:59:01.290Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13769.507 ms) ====== [2026-03-25T15:59:01.290Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-25T15:59:01.915Z] GC before operation: completed in 119.375 ms, heap usage 212.425 MB -> 89.278 MB. [2026-03-25T15:59:03.961Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:59:05.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:59:08.060Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:59:10.136Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:59:11.524Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:59:13.059Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:59:14.371Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:59:15.672Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:59:15.672Z] 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. [2026-03-25T15:59:15.672Z] The best model improves the baseline by 14.34%. [2026-03-25T15:59:16.302Z] Top recommended movies for user id 72: [2026-03-25T15:59:16.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:59:16.302Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:59:16.302Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:59:16.302Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:59:16.302Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:59:16.302Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14364.676 ms) ====== [2026-03-25T15:59:16.302Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-25T15:59:16.302Z] GC before operation: completed in 123.119 ms, heap usage 230.849 MB -> 89.188 MB. [2026-03-25T15:59:18.339Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:59:20.411Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:59:22.448Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:59:24.486Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:59:25.798Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:59:26.423Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:59:27.726Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:59:29.042Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:59:29.042Z] 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. [2026-03-25T15:59:29.042Z] The best model improves the baseline by 14.34%. [2026-03-25T15:59:29.668Z] Top recommended movies for user id 72: [2026-03-25T15:59:29.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:59:29.668Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:59:29.668Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:59:29.668Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:59:29.668Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:59:29.668Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13321.515 ms) ====== [2026-03-25T15:59:29.668Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-25T15:59:29.668Z] GC before operation: completed in 120.055 ms, heap usage 108.290 MB -> 89.062 MB. [2026-03-25T15:59:31.710Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:59:33.747Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:59:35.806Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:59:37.846Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:59:39.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:59:40.449Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:59:41.755Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:59:42.381Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:59:43.007Z] 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. [2026-03-25T15:59:43.007Z] The best model improves the baseline by 14.34%. [2026-03-25T15:59:43.007Z] Top recommended movies for user id 72: [2026-03-25T15:59:43.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:59:43.007Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:59:43.007Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:59:43.007Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:59:43.007Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:59:43.007Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13308.542 ms) ====== [2026-03-25T15:59:43.007Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-25T15:59:43.007Z] GC before operation: completed in 121.152 ms, heap usage 354.554 MB -> 89.340 MB. [2026-03-25T15:59:45.045Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T15:59:47.179Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T15:59:49.222Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T15:59:51.264Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T15:59:52.653Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T15:59:53.953Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T15:59:55.259Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T15:59:56.565Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T15:59:57.192Z] 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. [2026-03-25T15:59:57.192Z] The best model improves the baseline by 14.34%. [2026-03-25T15:59:57.192Z] Top recommended movies for user id 72: [2026-03-25T15:59:57.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T15:59:57.192Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T15:59:57.192Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T15:59:57.192Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T15:59:57.192Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T15:59:57.192Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14132.590 ms) ====== [2026-03-25T15:59:57.192Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-25T15:59:57.192Z] GC before operation: completed in 147.067 ms, heap usage 215.963 MB -> 89.237 MB. [2026-03-25T15:59:59.233Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T16:00:01.274Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T16:00:04.125Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T16:00:06.163Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T16:00:06.790Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T16:00:08.090Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T16:00:10.129Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T16:00:10.861Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T16:00:11.489Z] 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. [2026-03-25T16:00:11.489Z] The best model improves the baseline by 14.34%. [2026-03-25T16:00:11.489Z] Top recommended movies for user id 72: [2026-03-25T16:00:11.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-25T16:00:11.489Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-25T16:00:11.489Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-25T16:00:11.489Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-25T16:00:11.489Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-25T16:00:11.489Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14191.898 ms) ====== [2026-03-25T16:00:12.116Z] ----------------------------------- [2026-03-25T16:00:12.116Z] renaissance-movie-lens_0_PASSED [2026-03-25T16:00:12.116Z] ----------------------------------- [2026-03-25T16:00:12.116Z] [2026-03-25T16:00:12.116Z] TEST TEARDOWN: [2026-03-25T16:00:12.116Z] Nothing to be done for teardown. [2026-03-25T16:00:12.116Z] renaissance-movie-lens_0 Finish Time: Wed Mar 25 16:00:11 2026 Epoch Time (ms): 1774454411685