Test Results Summary Service

renaissance-movie-lens_0

[2026-03-06T08:03:05.197Z] Running test renaissance-movie-lens_0 ... [2026-03-06T08:03:05.197Z] =============================================== [2026-03-06T08:03:05.197Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 08:03:05 2026 Epoch Time (ms): 1772784185031 [2026-03-06T08:03:05.197Z] variation: NoOptions [2026-03-06T08:03:05.197Z] JVM_OPTIONS: [2026-03-06T08:03:05.197Z] { \ [2026-03-06T08:03:05.197Z] echo ""; echo "TEST SETUP:"; \ [2026-03-06T08:03:05.197Z] echo "Nothing to be done for setup."; \ [2026-03-06T08:03:05.197Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727819165677/renaissance-movie-lens_0"; \ [2026-03-06T08:03:05.197Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727819165677/renaissance-movie-lens_0"; \ [2026-03-06T08:03:05.197Z] echo ""; echo "TESTING:"; \ [2026-03-06T08:03:05.197Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727819165677/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-06T08:03:05.197Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727819165677/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-06T08:03:05.197Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-06T08:03:05.197Z] echo "Nothing to be done for teardown."; \ [2026-03-06T08:03:05.197Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727819165677/TestTargetResult"; [2026-03-06T08:03:05.197Z] [2026-03-06T08:03:05.197Z] TEST SETUP: [2026-03-06T08:03:05.197Z] Nothing to be done for setup. [2026-03-06T08:03:05.197Z] [2026-03-06T08:03:05.197Z] TESTING: [2026-03-06T08:03:07.535Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-06T08:03:07.535Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17727819165677/renaissance-movie-lens_0/launcher-080305-9477215844829264809/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-06T08:03:07.535Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-06T08:03:07.535Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-06T08:03:30.695Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-06T08:04:04.323Z] 08:03:58.720 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-06T08:04:09.150Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-06T08:04:10.850Z] Training: 60056, validation: 20285, test: 19854 [2026-03-06T08:04:10.850Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-06T08:04:11.182Z] GC before operation: completed in 606.896 ms, heap usage 408.579 MB -> 76.038 MB. [2026-03-06T08:04:38.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:04:52.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:05:05.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:05:18.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:05:24.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:05:31.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:05:38.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:05:45.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:05:45.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:05:45.650Z] The best model improves the baseline by 14.52%. [2026-03-06T08:05:46.804Z] Top recommended movies for user id 72: [2026-03-06T08:05:46.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:05:46.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:05:46.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:05:46.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:05:46.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:05:46.804Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (95289.909 ms) ====== [2026-03-06T08:05:46.804Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-06T08:05:47.532Z] GC before operation: completed in 849.243 ms, heap usage 445.759 MB -> 86.923 MB. [2026-03-06T08:05:58.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:06:09.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:06:20.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:06:29.259Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:06:35.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:06:41.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:06:48.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:06:54.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:06:55.120Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:06:55.120Z] The best model improves the baseline by 14.52%. [2026-03-06T08:06:55.832Z] Top recommended movies for user id 72: [2026-03-06T08:06:55.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:06:55.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:06:55.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:06:55.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:06:55.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:06:55.832Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (68254.686 ms) ====== [2026-03-06T08:06:55.832Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-06T08:06:56.555Z] GC before operation: completed in 868.724 ms, heap usage 408.176 MB -> 88.941 MB. [2026-03-06T08:07:07.437Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:07:16.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:07:23.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:07:32.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:07:37.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:07:43.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:07:49.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:07:52.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:07:53.602Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:07:53.602Z] The best model improves the baseline by 14.52%. [2026-03-06T08:07:54.312Z] Top recommended movies for user id 72: [2026-03-06T08:07:54.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:07:54.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:07:54.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:07:54.312Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:07:54.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:07:54.312Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57797.896 ms) ====== [2026-03-06T08:07:54.312Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-06T08:07:55.504Z] GC before operation: completed in 939.246 ms, heap usage 845.118 MB -> 93.521 MB. [2026-03-06T08:08:04.902Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:08:13.804Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:08:21.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:08:30.003Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:08:34.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:08:39.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:08:45.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:08:49.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:08:50.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:08:50.655Z] The best model improves the baseline by 14.52%. [2026-03-06T08:08:51.367Z] Top recommended movies for user id 72: [2026-03-06T08:08:51.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:08:51.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:08:51.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:08:51.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:08:51.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:08:51.367Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55843.132 ms) ====== [2026-03-06T08:08:51.367Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-06T08:08:52.088Z] GC before operation: completed in 897.601 ms, heap usage 120.288 MB -> 89.542 MB. [2026-03-06T08:09:01.036Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:09:09.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:09:19.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:09:26.421Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:09:32.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:09:37.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:09:41.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:09:47.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:09:48.516Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:09:48.848Z] The best model improves the baseline by 14.52%. [2026-03-06T08:09:49.560Z] Top recommended movies for user id 72: [2026-03-06T08:09:49.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:09:49.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:09:49.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:09:49.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:09:49.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:09:49.560Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57438.842 ms) ====== [2026-03-06T08:09:49.560Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-06T08:09:50.710Z] GC before operation: completed in 962.645 ms, heap usage 274.355 MB -> 89.781 MB. [2026-03-06T08:10:01.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:10:10.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:10:19.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:10:26.911Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:10:31.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:10:36.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:10:42.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:10:47.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:10:48.506Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:10:48.836Z] The best model improves the baseline by 14.52%. [2026-03-06T08:10:49.165Z] Top recommended movies for user id 72: [2026-03-06T08:10:49.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:10:49.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:10:49.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:10:49.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:10:49.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:10:49.165Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58768.504 ms) ====== [2026-03-06T08:10:49.165Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-06T08:10:50.341Z] GC before operation: completed in 912.554 ms, heap usage 364.502 MB -> 90.055 MB. [2026-03-06T08:10:59.310Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:11:06.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:11:15.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:11:22.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:11:28.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:11:33.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:11:39.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:11:44.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:11:45.087Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:11:45.087Z] The best model improves the baseline by 14.52%. [2026-03-06T08:11:45.801Z] Top recommended movies for user id 72: [2026-03-06T08:11:45.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:11:45.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:11:45.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:11:45.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:11:45.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:11:45.801Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55608.567 ms) ====== [2026-03-06T08:11:45.801Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T08:11:46.973Z] GC before operation: completed in 915.319 ms, heap usage 429.427 MB -> 90.094 MB. [2026-03-06T08:11:55.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:12:03.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:12:12.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:12:21.120Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:12:24.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:12:30.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:12:35.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:12:40.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:12:41.277Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:12:41.277Z] The best model improves the baseline by 14.52%. [2026-03-06T08:12:41.992Z] Top recommended movies for user id 72: [2026-03-06T08:12:41.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:12:41.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:12:41.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:12:41.992Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:12:41.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:12:41.992Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55417.078 ms) ====== [2026-03-06T08:12:41.992Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T08:12:43.143Z] GC before operation: completed in 950.990 ms, heap usage 377.440 MB -> 90.403 MB. [2026-03-06T08:12:52.058Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:12:59.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:13:08.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:13:15.817Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:13:20.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:13:26.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:13:31.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:13:36.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:13:37.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:13:37.214Z] The best model improves the baseline by 14.52%. [2026-03-06T08:13:37.934Z] Top recommended movies for user id 72: [2026-03-06T08:13:37.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:13:37.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:13:37.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:13:37.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:13:37.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:13:37.934Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54769.666 ms) ====== [2026-03-06T08:13:37.934Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T08:13:38.670Z] GC before operation: completed in 905.690 ms, heap usage 349.942 MB -> 90.073 MB. [2026-03-06T08:13:47.581Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:13:55.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:14:03.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:14:11.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:14:17.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:14:21.973Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:14:26.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:14:32.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:14:33.071Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:14:33.071Z] The best model improves the baseline by 14.52%. [2026-03-06T08:14:33.798Z] Top recommended movies for user id 72: [2026-03-06T08:14:33.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:14:33.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:14:33.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:14:33.798Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:14:33.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:14:33.798Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54866.271 ms) ====== [2026-03-06T08:14:33.798Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T08:14:34.537Z] GC before operation: completed in 908.266 ms, heap usage 436.230 MB -> 90.382 MB. [2026-03-06T08:14:43.482Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:14:50.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:14:58.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:15:05.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:15:10.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:15:14.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:15:20.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:15:24.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:15:24.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:15:24.811Z] The best model improves the baseline by 14.52%. [2026-03-06T08:15:25.519Z] Top recommended movies for user id 72: [2026-03-06T08:15:25.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:15:25.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:15:25.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:15:25.519Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:15:25.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:15:25.519Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (50979.322 ms) ====== [2026-03-06T08:15:25.519Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T08:15:26.693Z] GC before operation: completed in 935.750 ms, heap usage 497.679 MB -> 90.324 MB. [2026-03-06T08:15:35.635Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:15:41.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:15:48.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:15:56.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:16:01.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:16:05.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:16:11.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:16:15.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:16:16.496Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:16:16.496Z] The best model improves the baseline by 14.52%. [2026-03-06T08:16:17.209Z] Top recommended movies for user id 72: [2026-03-06T08:16:17.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:16:17.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:16:17.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:16:17.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:16:17.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:16:17.209Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50739.070 ms) ====== [2026-03-06T08:16:17.209Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T08:16:18.381Z] GC before operation: completed in 977.731 ms, heap usage 1.022 GB -> 95.011 MB. [2026-03-06T08:16:27.409Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:16:34.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:16:41.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:16:49.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:16:53.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:16:59.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:17:03.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:17:09.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:17:10.211Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:17:10.212Z] The best model improves the baseline by 14.52%. [2026-03-06T08:17:10.937Z] Top recommended movies for user id 72: [2026-03-06T08:17:10.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:17:10.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:17:10.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:17:10.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:17:10.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:17:10.938Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52651.558 ms) ====== [2026-03-06T08:17:10.938Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T08:17:11.679Z] GC before operation: completed in 913.866 ms, heap usage 344.081 MB -> 90.429 MB. [2026-03-06T08:17:20.637Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:17:29.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:17:36.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:17:44.252Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:17:50.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:17:56.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:18:00.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:18:05.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:18:06.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:18:06.405Z] The best model improves the baseline by 14.52%. [2026-03-06T08:18:07.118Z] Top recommended movies for user id 72: [2026-03-06T08:18:07.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:18:07.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:18:07.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:18:07.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:18:07.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:18:07.118Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55376.842 ms) ====== [2026-03-06T08:18:07.118Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T08:18:08.272Z] GC before operation: completed in 920.785 ms, heap usage 392.157 MB -> 90.306 MB. [2026-03-06T08:18:17.202Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:18:26.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:18:33.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:18:40.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:18:45.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:18:51.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:18:56.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:19:01.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:19:02.255Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:19:02.584Z] The best model improves the baseline by 14.52%. [2026-03-06T08:19:03.331Z] Top recommended movies for user id 72: [2026-03-06T08:19:03.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:19:03.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:19:03.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:19:03.331Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:19:03.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:19:03.331Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (55065.001 ms) ====== [2026-03-06T08:19:03.331Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T08:19:04.095Z] GC before operation: completed in 921.238 ms, heap usage 135.211 MB -> 90.280 MB. [2026-03-06T08:19:13.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:19:20.324Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:19:27.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:19:35.119Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:19:38.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:19:43.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:19:49.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:19:53.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:19:54.132Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:19:54.132Z] The best model improves the baseline by 14.52%. [2026-03-06T08:19:54.856Z] Top recommended movies for user id 72: [2026-03-06T08:19:54.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:19:54.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:19:54.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:19:54.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:19:54.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:19:54.856Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50731.811 ms) ====== [2026-03-06T08:19:54.856Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T08:19:55.589Z] GC before operation: completed in 937.203 ms, heap usage 204.171 MB -> 90.160 MB. [2026-03-06T08:20:04.492Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:20:13.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:20:20.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:20:28.147Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:20:31.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:20:36.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:20:41.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:20:46.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:20:46.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:20:46.684Z] The best model improves the baseline by 14.52%. [2026-03-06T08:20:47.014Z] Top recommended movies for user id 72: [2026-03-06T08:20:47.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:20:47.014Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:20:47.014Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:20:47.014Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:20:47.014Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:20:47.014Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51383.731 ms) ====== [2026-03-06T08:20:47.014Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T08:20:48.265Z] GC before operation: completed in 972.970 ms, heap usage 386.677 MB -> 90.585 MB. [2026-03-06T08:20:55.771Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:21:04.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:21:11.980Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:21:19.264Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:21:23.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:21:28.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:21:31.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:21:36.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:21:37.313Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:21:37.313Z] The best model improves the baseline by 14.52%. [2026-03-06T08:21:38.025Z] Top recommended movies for user id 72: [2026-03-06T08:21:38.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:21:38.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:21:38.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:21:38.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:21:38.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:21:38.025Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49937.562 ms) ====== [2026-03-06T08:21:38.025Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T08:21:39.204Z] GC before operation: completed in 951.310 ms, heap usage 463.982 MB -> 90.437 MB. [2026-03-06T08:21:46.492Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:21:55.419Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:22:02.706Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:22:10.136Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:22:16.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:22:20.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:22:25.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:22:30.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:22:31.632Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:22:31.632Z] The best model improves the baseline by 14.52%. [2026-03-06T08:22:32.345Z] Top recommended movies for user id 72: [2026-03-06T08:22:32.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:22:32.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:22:32.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:22:32.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:22:32.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:22:32.345Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53345.894 ms) ====== [2026-03-06T08:22:32.345Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T08:22:33.111Z] GC before operation: completed in 929.632 ms, heap usage 384.869 MB -> 90.564 MB. [2026-03-06T08:22:42.166Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T08:22:49.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T08:22:58.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T08:23:05.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T08:23:10.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T08:23:15.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T08:23:20.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T08:23:24.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T08:23:25.501Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T08:23:25.832Z] The best model improves the baseline by 14.52%. [2026-03-06T08:23:26.546Z] Top recommended movies for user id 72: [2026-03-06T08:23:26.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T08:23:26.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T08:23:26.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T08:23:26.546Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T08:23:26.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T08:23:26.546Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53154.396 ms) ====== [2026-03-06T08:23:29.514Z] ----------------------------------- [2026-03-06T08:23:29.514Z] renaissance-movie-lens_0_PASSED [2026-03-06T08:23:29.514Z] ----------------------------------- [2026-03-06T08:23:29.514Z] [2026-03-06T08:23:29.514Z] TEST TEARDOWN: [2026-03-06T08:23:29.514Z] Nothing to be done for teardown. [2026-03-06T08:23:29.514Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 08:23:29 2026 Epoch Time (ms): 1772785409408