[2026-01-03T13:34:06.249Z] Running test renaissance-movie-lens_0 ... [2026-01-03T13:34:06.249Z] =============================================== [2026-01-03T13:34:06.249Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 13:34:06 2026 Epoch Time (ms): 1767447246105 [2026-01-03T13:34:06.249Z] variation: NoOptions [2026-01-03T13:34:06.249Z] JVM_OPTIONS: [2026-01-03T13:34:06.249Z] { \ [2026-01-03T13:34:06.249Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T13:34:06.249Z] echo "Nothing to be done for setup."; \ [2026-01-03T13:34:06.249Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674455583897/renaissance-movie-lens_0"; \ [2026-01-03T13:34:06.249Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674455583897/renaissance-movie-lens_0"; \ [2026-01-03T13:34:06.249Z] echo ""; echo "TESTING:"; \ [2026-01-03T13:34:06.249Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674455583897/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T13:34:06.249Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674455583897/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T13:34:06.249Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T13:34:06.249Z] echo "Nothing to be done for teardown."; \ [2026-01-03T13:34:06.249Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674455583897/TestTargetResult"; [2026-01-03T13:34:06.249Z] [2026-01-03T13:34:06.249Z] TEST SETUP: [2026-01-03T13:34:06.249Z] Nothing to be done for setup. [2026-01-03T13:34:06.249Z] [2026-01-03T13:34:06.249Z] TESTING: [2026-01-03T13:34:06.961Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T13:34:06.961Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17674455583897/renaissance-movie-lens_0/launcher-133406-12499623871137719100/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T13:34:06.961Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T13:34:06.961Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T13:34:11.738Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-03T13:34:17.690Z] 13:34:17.648 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. [2026-01-03T13:34:20.738Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T13:34:21.447Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T13:34:21.447Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T13:34:21.780Z] GC before operation: completed in 136.486 ms, heap usage 202.472 MB -> 75.334 MB. [2026-01-03T13:34:29.087Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:34:33.925Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:34:37.751Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:34:40.735Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:34:43.012Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:34:45.299Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:34:46.486Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:34:48.304Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:34:48.638Z] 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. [2026-01-03T13:34:48.638Z] The best model improves the baseline by 14.34%. [2026-01-03T13:34:48.638Z] Top recommended movies for user id 72: [2026-01-03T13:34:48.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:34:48.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:34:48.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:34:48.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:34:48.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:34:48.638Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27051.729 ms) ====== [2026-01-03T13:34:48.638Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T13:34:48.983Z] GC before operation: completed in 152.444 ms, heap usage 358.368 MB -> 92.429 MB. [2026-01-03T13:34:51.979Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:34:54.296Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:34:56.592Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:34:58.312Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:35:00.001Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:35:01.201Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:35:02.399Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:35:04.108Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:35:04.108Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-03T13:35:04.108Z] The best model improves the baseline by 14.34%. [2026-01-03T13:35:04.438Z] Top recommended movies for user id 72: [2026-01-03T13:35:04.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:35:04.438Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:35:04.438Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:35:04.438Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:35:04.438Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:35:04.438Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15442.367 ms) ====== [2026-01-03T13:35:04.438Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T13:35:04.438Z] GC before operation: completed in 142.246 ms, heap usage 305.291 MB -> 87.677 MB. [2026-01-03T13:35:06.719Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:35:08.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:35:11.274Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:35:13.636Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:35:14.787Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:35:15.940Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:35:18.202Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:35:19.352Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:35:19.687Z] 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. [2026-01-03T13:35:19.687Z] The best model improves the baseline by 14.34%. [2026-01-03T13:35:20.020Z] Top recommended movies for user id 72: [2026-01-03T13:35:20.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:35:20.020Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:35:20.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:35:20.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:35:20.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:35:20.021Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15398.173 ms) ====== [2026-01-03T13:35:20.021Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T13:35:20.021Z] GC before operation: completed in 133.934 ms, heap usage 159.975 MB -> 88.028 MB. [2026-01-03T13:35:22.342Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:35:24.029Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:35:26.324Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:35:28.603Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:35:29.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:35:31.405Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:35:32.554Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:35:33.741Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:35:34.076Z] 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. [2026-01-03T13:35:34.077Z] The best model improves the baseline by 14.34%. [2026-01-03T13:35:34.077Z] Top recommended movies for user id 72: [2026-01-03T13:35:34.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:35:34.077Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:35:34.077Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:35:34.077Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:35:34.077Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:35:34.077Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14214.660 ms) ====== [2026-01-03T13:35:34.077Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T13:35:34.407Z] GC before operation: completed in 129.697 ms, heap usage 214.488 MB -> 88.451 MB. [2026-01-03T13:35:36.690Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:35:39.000Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:35:41.330Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:35:43.626Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:35:44.352Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:35:45.527Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:35:47.230Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:35:48.436Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:35:48.436Z] 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. [2026-01-03T13:35:48.436Z] The best model improves the baseline by 14.34%. [2026-01-03T13:35:48.436Z] Top recommended movies for user id 72: [2026-01-03T13:35:48.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:35:48.436Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:35:48.436Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:35:48.436Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:35:48.436Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:35:48.436Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14203.473 ms) ====== [2026-01-03T13:35:48.436Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T13:35:48.772Z] GC before operation: completed in 145.524 ms, heap usage 493.370 MB -> 92.083 MB. [2026-01-03T13:35:51.144Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:35:52.830Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:35:55.147Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:35:56.838Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:35:58.137Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:35:59.364Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:36:00.567Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:36:01.788Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:36:02.132Z] 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. [2026-01-03T13:36:02.132Z] The best model improves the baseline by 14.34%. [2026-01-03T13:36:02.132Z] Top recommended movies for user id 72: [2026-01-03T13:36:02.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:36:02.132Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:36:02.132Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:36:02.132Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:36:02.132Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:36:02.132Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13403.689 ms) ====== [2026-01-03T13:36:02.132Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T13:36:02.132Z] GC before operation: completed in 137.604 ms, heap usage 382.503 MB -> 89.055 MB. [2026-01-03T13:36:04.429Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:36:06.741Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:36:08.495Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:36:10.836Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:36:12.015Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:36:13.735Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:36:14.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:36:16.086Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:36:16.424Z] 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. [2026-01-03T13:36:16.424Z] The best model improves the baseline by 14.34%. [2026-01-03T13:36:16.424Z] Top recommended movies for user id 72: [2026-01-03T13:36:16.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:36:16.424Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:36:16.424Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:36:16.424Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:36:16.424Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:36:16.424Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14203.590 ms) ====== [2026-01-03T13:36:16.424Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T13:36:16.774Z] GC before operation: completed in 142.834 ms, heap usage 420.685 MB -> 89.065 MB. [2026-01-03T13:36:18.475Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:36:20.859Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:36:22.556Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:36:24.819Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:36:25.532Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:36:27.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:36:28.413Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:36:29.589Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:36:29.589Z] 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. [2026-01-03T13:36:29.589Z] The best model improves the baseline by 14.34%. [2026-01-03T13:36:29.589Z] Top recommended movies for user id 72: [2026-01-03T13:36:29.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:36:29.589Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:36:29.589Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:36:29.589Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:36:29.589Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:36:29.589Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13094.654 ms) ====== [2026-01-03T13:36:29.589Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T13:36:29.918Z] GC before operation: completed in 124.420 ms, heap usage 165.897 MB -> 88.875 MB. [2026-01-03T13:36:32.179Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:36:33.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:36:36.140Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:36:37.850Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:36:39.016Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:36:40.175Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:36:41.345Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:36:42.614Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:36:42.614Z] 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. [2026-01-03T13:36:42.614Z] The best model improves the baseline by 14.34%. [2026-01-03T13:36:42.976Z] Top recommended movies for user id 72: [2026-01-03T13:36:42.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:36:42.976Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:36:42.976Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:36:42.976Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:36:42.976Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:36:42.976Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13059.822 ms) ====== [2026-01-03T13:36:42.976Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T13:36:42.976Z] GC before operation: completed in 136.097 ms, heap usage 622.135 MB -> 92.721 MB. [2026-01-03T13:36:45.257Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:36:46.931Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:36:49.204Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:36:50.883Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:36:52.098Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:36:53.272Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:36:54.423Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:36:55.593Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:36:55.923Z] 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. [2026-01-03T13:36:55.923Z] The best model improves the baseline by 14.34%. [2026-01-03T13:36:55.923Z] Top recommended movies for user id 72: [2026-01-03T13:36:55.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:36:55.923Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:36:55.923Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:36:55.923Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:36:55.923Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:36:55.923Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13040.707 ms) ====== [2026-01-03T13:36:55.923Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T13:36:56.253Z] GC before operation: completed in 130.137 ms, heap usage 158.246 MB -> 88.857 MB. [2026-01-03T13:36:58.529Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:00.200Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:02.465Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:04.129Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:05.278Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:06.527Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:08.197Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:09.345Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:09.345Z] 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. [2026-01-03T13:37:09.345Z] The best model improves the baseline by 14.34%. [2026-01-03T13:37:09.676Z] Top recommended movies for user id 72: [2026-01-03T13:37:09.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:37:09.676Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:37:09.676Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:37:09.676Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:37:09.676Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:37:09.676Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13389.647 ms) ====== [2026-01-03T13:37:09.676Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T13:37:09.676Z] GC before operation: completed in 118.457 ms, heap usage 115.549 MB -> 89.283 MB. [2026-01-03T13:37:11.927Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:13.590Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:15.851Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:17.598Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:18.750Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:19.466Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:21.142Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:22.291Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:22.291Z] 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. [2026-01-03T13:37:22.291Z] The best model improves the baseline by 14.34%. [2026-01-03T13:37:22.291Z] Top recommended movies for user id 72: [2026-01-03T13:37:22.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:37:22.291Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:37:22.291Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:37:22.291Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:37:22.291Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:37:22.291Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12695.628 ms) ====== [2026-01-03T13:37:22.291Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T13:37:22.618Z] GC before operation: completed in 126.373 ms, heap usage 194.590 MB -> 88.920 MB. [2026-01-03T13:37:24.281Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:26.539Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:28.886Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:30.545Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:31.278Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:32.938Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:34.085Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:35.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:35.561Z] 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. [2026-01-03T13:37:35.561Z] The best model improves the baseline by 14.34%. [2026-01-03T13:37:35.561Z] Top recommended movies for user id 72: [2026-01-03T13:37:35.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:37:35.561Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:37:35.561Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:37:35.561Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:37:35.561Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:37:35.561Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13046.018 ms) ====== [2026-01-03T13:37:35.561Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T13:37:35.561Z] GC before operation: completed in 131.729 ms, heap usage 625.555 MB -> 93.072 MB. [2026-01-03T13:37:37.816Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:40.069Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:41.727Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:43.388Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:44.533Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:45.691Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:47.356Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:37:48.063Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:37:48.395Z] 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. [2026-01-03T13:37:48.395Z] The best model improves the baseline by 14.34%. [2026-01-03T13:37:48.395Z] Top recommended movies for user id 72: [2026-01-03T13:37:48.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:37:48.395Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:37:48.395Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:37:48.395Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:37:48.395Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:37:48.395Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12784.124 ms) ====== [2026-01-03T13:37:48.395Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T13:37:48.795Z] GC before operation: completed in 122.437 ms, heap usage 224.214 MB -> 88.911 MB. [2026-01-03T13:37:50.463Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:37:52.712Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:37:54.373Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:37:56.046Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:37:57.219Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:37:58.367Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:37:59.521Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:00.668Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:00.997Z] 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. [2026-01-03T13:38:00.997Z] The best model improves the baseline by 14.34%. [2026-01-03T13:38:00.998Z] Top recommended movies for user id 72: [2026-01-03T13:38:00.998Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:38:00.998Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:38:00.998Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:38:00.998Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:38:00.998Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:38:00.998Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12476.146 ms) ====== [2026-01-03T13:38:00.998Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T13:38:01.332Z] GC before operation: completed in 131.733 ms, heap usage 301.824 MB -> 89.281 MB. [2026-01-03T13:38:03.596Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:05.270Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:07.562Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:08.711Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:09.860Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:11.005Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:12.181Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:13.328Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:13.657Z] 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. [2026-01-03T13:38:13.657Z] The best model improves the baseline by 14.34%. [2026-01-03T13:38:13.657Z] Top recommended movies for user id 72: [2026-01-03T13:38:13.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:38:13.657Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:38:13.657Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:38:13.657Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:38:13.657Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:38:13.657Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12435.041 ms) ====== [2026-01-03T13:38:13.657Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T13:38:13.657Z] GC before operation: completed in 135.958 ms, heap usage 704.190 MB -> 93.497 MB. [2026-01-03T13:38:15.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:17.578Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:19.836Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:21.495Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:22.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:23.793Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:24.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:26.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:26.092Z] 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. [2026-01-03T13:38:26.092Z] The best model improves the baseline by 14.34%. [2026-01-03T13:38:26.092Z] Top recommended movies for user id 72: [2026-01-03T13:38:26.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:38:26.092Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:38:26.092Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:38:26.092Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:38:26.092Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:38:26.092Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12411.432 ms) ====== [2026-01-03T13:38:26.092Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T13:38:26.441Z] GC before operation: completed in 124.641 ms, heap usage 172.575 MB -> 88.937 MB. [2026-01-03T13:38:28.122Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:30.377Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:32.038Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:33.787Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:34.932Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:36.084Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:37.244Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:38.404Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:38.738Z] 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. [2026-01-03T13:38:38.738Z] The best model improves the baseline by 14.34%. [2026-01-03T13:38:38.738Z] Top recommended movies for user id 72: [2026-01-03T13:38:38.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:38:38.738Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:38:38.738Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:38:38.738Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:38:38.738Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:38:38.738Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12377.393 ms) ====== [2026-01-03T13:38:38.738Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T13:38:38.738Z] GC before operation: completed in 129.394 ms, heap usage 407.201 MB -> 89.219 MB. [2026-01-03T13:38:41.014Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:42.689Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:44.956Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:46.631Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:38:47.776Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:38:48.485Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:38:50.146Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:38:50.859Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:38:51.194Z] 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. [2026-01-03T13:38:51.194Z] The best model improves the baseline by 14.34%. [2026-01-03T13:38:51.524Z] Top recommended movies for user id 72: [2026-01-03T13:38:51.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:38:51.524Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:38:51.524Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:38:51.524Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:38:51.524Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:38:51.524Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12537.005 ms) ====== [2026-01-03T13:38:51.524Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T13:38:51.524Z] GC before operation: completed in 127.665 ms, heap usage 168.067 MB -> 88.929 MB. [2026-01-03T13:38:53.783Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:38:55.462Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:38:57.205Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:38:58.865Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:39:00.018Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:39:01.172Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:39:02.324Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:39:03.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:39:03.814Z] 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. [2026-01-03T13:39:03.814Z] The best model improves the baseline by 14.34%. [2026-01-03T13:39:03.814Z] Top recommended movies for user id 72: [2026-01-03T13:39:03.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:39:03.814Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:39:03.814Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:39:03.814Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:39:03.814Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:39:03.814Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12431.545 ms) ====== [2026-01-03T13:39:04.526Z] ----------------------------------- [2026-01-03T13:39:04.526Z] renaissance-movie-lens_0_PASSED [2026-01-03T13:39:04.526Z] ----------------------------------- [2026-01-03T13:39:04.526Z] [2026-01-03T13:39:04.527Z] TEST TEARDOWN: [2026-01-03T13:39:04.527Z] Nothing to be done for teardown. [2026-01-03T13:39:04.527Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 13:39:04 2026 Epoch Time (ms): 1767447544257