[2026-01-17T13:49:38.697Z] Running test renaissance-movie-lens_0 ... [2026-01-17T13:49:38.697Z] =============================================== [2026-01-17T13:49:38.697Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 13:49:37 2026 Epoch Time (ms): 1768657777843 [2026-01-17T13:49:38.697Z] variation: NoOptions [2026-01-17T13:49:38.697Z] JVM_OPTIONS: [2026-01-17T13:49:38.697Z] { \ [2026-01-17T13:49:38.697Z] echo ""; echo "TEST SETUP:"; \ [2026-01-17T13:49:38.697Z] echo "Nothing to be done for setup."; \ [2026-01-17T13:49:38.697Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686568989813/renaissance-movie-lens_0"; \ [2026-01-17T13:49:38.697Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686568989813/renaissance-movie-lens_0"; \ [2026-01-17T13:49:38.697Z] echo ""; echo "TESTING:"; \ [2026-01-17T13:49:38.697Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686568989813/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-17T13:49:38.697Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686568989813/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-17T13:49:38.697Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-17T13:49:38.697Z] echo "Nothing to be done for teardown."; \ [2026-01-17T13:49:38.697Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686568989813/TestTargetResult"; [2026-01-17T13:49:38.697Z] [2026-01-17T13:49:38.697Z] TEST SETUP: [2026-01-17T13:49:38.697Z] Nothing to be done for setup. [2026-01-17T13:49:38.697Z] [2026-01-17T13:49:38.697Z] TESTING: [2026-01-17T13:49:38.697Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-17T13:49:38.697Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17686568989813/renaissance-movie-lens_0/launcher-134937-9267102056352627614/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-17T13:49:38.697Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-17T13:49:38.697Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-17T13:49:44.104Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-17T13:49:50.979Z] 13:49:50.342 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. [2026-01-17T13:49:52.944Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-17T13:49:52.944Z] Training: 60056, validation: 20285, test: 19854 [2026-01-17T13:49:52.944Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-17T13:49:53.902Z] GC before operation: completed in 156.423 ms, heap usage 222.698 MB -> 75.656 MB. [2026-01-17T13:49:59.311Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:50:02.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:50:05.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:50:08.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:50:10.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:50:11.566Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:50:13.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:50:15.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:50:15.850Z] 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. [2026-01-17T13:50:15.850Z] The best model improves the baseline by 14.52%. [2026-01-17T13:50:15.850Z] Top recommended movies for user id 72: [2026-01-17T13:50:15.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:50:15.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:50:15.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:50:15.850Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:50:15.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:50:15.850Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22336.830 ms) ====== [2026-01-17T13:50:15.850Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-17T13:50:15.850Z] GC before operation: completed in 136.078 ms, heap usage 378.274 MB -> 89.525 MB. [2026-01-17T13:50:18.881Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:50:21.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:50:23.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:50:26.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:50:28.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:50:29.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:50:31.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:50:33.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:50:33.808Z] 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. [2026-01-17T13:50:33.808Z] The best model improves the baseline by 14.52%. [2026-01-17T13:50:33.808Z] Top recommended movies for user id 72: [2026-01-17T13:50:33.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:50:33.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:50:33.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:50:33.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:50:33.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:50:33.808Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18041.536 ms) ====== [2026-01-17T13:50:33.808Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-17T13:50:33.808Z] GC before operation: completed in 122.316 ms, heap usage 295.457 MB -> 88.579 MB. [2026-01-17T13:50:36.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:50:38.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:50:41.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:50:43.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:50:45.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:50:47.823Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:50:48.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:50:50.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:50:50.751Z] 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. [2026-01-17T13:50:50.751Z] The best model improves the baseline by 14.52%. [2026-01-17T13:50:50.751Z] Top recommended movies for user id 72: [2026-01-17T13:50:50.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:50:50.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:50:50.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:50:50.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:50:50.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:50:50.751Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17040.902 ms) ====== [2026-01-17T13:50:50.751Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-17T13:50:51.713Z] GC before operation: completed in 159.907 ms, heap usage 271.390 MB -> 89.298 MB. [2026-01-17T13:50:53.681Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:50:56.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:50:58.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:51:02.717Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:51:03.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:51:05.652Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:51:06.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:51:08.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:51:08.583Z] 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. [2026-01-17T13:51:08.583Z] The best model improves the baseline by 14.52%. [2026-01-17T13:51:08.583Z] Top recommended movies for user id 72: [2026-01-17T13:51:08.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:51:08.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:51:08.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:51:08.583Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:51:08.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:51:08.583Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17584.946 ms) ====== [2026-01-17T13:51:08.583Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-17T13:51:09.541Z] GC before operation: completed in 134.488 ms, heap usage 100.333 MB -> 89.178 MB. [2026-01-17T13:51:11.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:51:13.491Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:51:16.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:51:18.508Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:51:20.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:51:21.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:51:23.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:51:24.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:51:25.337Z] 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. [2026-01-17T13:51:25.337Z] The best model improves the baseline by 14.52%. [2026-01-17T13:51:25.337Z] Top recommended movies for user id 72: [2026-01-17T13:51:25.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:51:25.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:51:25.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:51:25.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:51:25.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:51:25.337Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16193.711 ms) ====== [2026-01-17T13:51:25.337Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-17T13:51:25.337Z] GC before operation: completed in 129.792 ms, heap usage 204.195 MB -> 89.328 MB. [2026-01-17T13:51:28.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:51:30.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:51:32.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:51:35.345Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:51:36.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:51:37.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:51:39.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:51:40.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:51:41.229Z] 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. [2026-01-17T13:51:41.229Z] The best model improves the baseline by 14.52%. [2026-01-17T13:51:41.229Z] Top recommended movies for user id 72: [2026-01-17T13:51:41.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:51:41.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:51:41.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:51:41.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:51:41.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:51:41.229Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15794.715 ms) ====== [2026-01-17T13:51:41.229Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-17T13:51:41.229Z] GC before operation: completed in 124.883 ms, heap usage 291.029 MB -> 89.766 MB. [2026-01-17T13:51:43.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:51:45.180Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:51:49.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:51:50.076Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:51:51.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:51:51.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:51:53.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:51:54.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:51:54.923Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T13:51:54.923Z] The best model improves the baseline by 14.52%. [2026-01-17T13:51:54.923Z] Top recommended movies for user id 72: [2026-01-17T13:51:54.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:51:54.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:51:54.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:51:54.923Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:51:54.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:51:54.923Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13941.223 ms) ====== [2026-01-17T13:51:54.923Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-17T13:51:54.924Z] GC before operation: completed in 123.111 ms, heap usage 447.075 MB -> 89.897 MB. [2026-01-17T13:51:57.960Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:51:59.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:52:02.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:52:04.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:52:05.909Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:52:07.878Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:52:08.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:52:10.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:52:10.847Z] 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. [2026-01-17T13:52:10.847Z] The best model improves the baseline by 14.52%. [2026-01-17T13:52:10.847Z] Top recommended movies for user id 72: [2026-01-17T13:52:10.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:52:10.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:52:10.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:52:10.847Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:52:10.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:52:10.847Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15740.412 ms) ====== [2026-01-17T13:52:10.847Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-17T13:52:10.847Z] GC before operation: completed in 128.048 ms, heap usage 148.950 MB -> 89.682 MB. [2026-01-17T13:52:13.884Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:52:15.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:52:17.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:52:20.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:52:21.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:52:22.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:52:24.749Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:52:25.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:52:26.667Z] 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. [2026-01-17T13:52:26.667Z] The best model improves the baseline by 14.52%. [2026-01-17T13:52:26.667Z] Top recommended movies for user id 72: [2026-01-17T13:52:26.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:52:26.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:52:26.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:52:26.667Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:52:26.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:52:26.667Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15284.163 ms) ====== [2026-01-17T13:52:26.667Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-17T13:52:26.667Z] GC before operation: completed in 140.284 ms, heap usage 125.038 MB -> 89.495 MB. [2026-01-17T13:52:28.632Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:52:30.599Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:52:33.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:52:35.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:52:36.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:52:38.763Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:52:39.725Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:52:40.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:52:41.641Z] 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. [2026-01-17T13:52:41.641Z] The best model improves the baseline by 14.52%. [2026-01-17T13:52:41.641Z] Top recommended movies for user id 72: [2026-01-17T13:52:41.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:52:41.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:52:41.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:52:41.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:52:41.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:52:41.641Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14775.170 ms) ====== [2026-01-17T13:52:41.641Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-17T13:52:41.641Z] GC before operation: completed in 137.499 ms, heap usage 280.938 MB -> 89.950 MB. [2026-01-17T13:52:43.618Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:52:45.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:52:47.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:52:49.599Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:52:51.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:52:52.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:52:54.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:52:55.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:52:55.451Z] 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. [2026-01-17T13:52:55.451Z] The best model improves the baseline by 14.52%. [2026-01-17T13:52:55.451Z] Top recommended movies for user id 72: [2026-01-17T13:52:55.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:52:55.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:52:55.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:52:55.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:52:55.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:52:55.451Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14135.948 ms) ====== [2026-01-17T13:52:55.451Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-17T13:52:55.451Z] GC before operation: completed in 121.976 ms, heap usage 282.574 MB -> 89.673 MB. [2026-01-17T13:52:57.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:53:00.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:53:02.451Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:53:04.418Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:53:05.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:53:07.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:53:08.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:53:10.265Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:53:10.265Z] 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. [2026-01-17T13:53:10.265Z] The best model improves the baseline by 14.52%. [2026-01-17T13:53:10.265Z] Top recommended movies for user id 72: [2026-01-17T13:53:10.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:53:10.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:53:10.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:53:10.265Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:53:10.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:53:10.265Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14382.165 ms) ====== [2026-01-17T13:53:10.265Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-17T13:53:10.265Z] GC before operation: completed in 144.955 ms, heap usage 299.691 MB -> 90.006 MB. [2026-01-17T13:53:13.295Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:53:15.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:53:17.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:53:19.186Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:53:21.149Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:53:22.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:53:24.318Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:53:25.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:53:25.310Z] 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. [2026-01-17T13:53:25.310Z] The best model improves the baseline by 14.52%. [2026-01-17T13:53:25.310Z] Top recommended movies for user id 72: [2026-01-17T13:53:25.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:53:25.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:53:25.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:53:25.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:53:25.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:53:25.310Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15392.978 ms) ====== [2026-01-17T13:53:25.310Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-17T13:53:26.267Z] GC before operation: completed in 119.313 ms, heap usage 404.335 MB -> 90.188 MB. [2026-01-17T13:53:28.230Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:53:30.192Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:53:33.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:53:35.197Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:53:36.154Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:53:38.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:53:39.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:53:40.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:53:40.995Z] 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. [2026-01-17T13:53:40.995Z] The best model improves the baseline by 14.52%. [2026-01-17T13:53:40.995Z] Top recommended movies for user id 72: [2026-01-17T13:53:40.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:53:40.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:53:40.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:53:40.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:53:40.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:53:40.995Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14955.620 ms) ====== [2026-01-17T13:53:40.995Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-17T13:53:40.995Z] GC before operation: completed in 126.928 ms, heap usage 180.161 MB -> 89.740 MB. [2026-01-17T13:53:42.974Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:53:46.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:53:48.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:53:50.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:53:50.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:53:51.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:53:53.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:53:54.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:53:54.851Z] 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. [2026-01-17T13:53:54.851Z] The best model improves the baseline by 14.52%. [2026-01-17T13:53:54.851Z] Top recommended movies for user id 72: [2026-01-17T13:53:54.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:53:54.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:53:54.852Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:53:54.852Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:53:54.852Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:53:54.852Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14088.212 ms) ====== [2026-01-17T13:53:54.852Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-17T13:53:54.852Z] GC before operation: completed in 130.757 ms, heap usage 285.514 MB -> 90.082 MB. [2026-01-17T13:53:57.888Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:53:58.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:54:01.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:54:02.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:54:04.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:54:05.763Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:54:06.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:54:08.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:54:08.691Z] 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. [2026-01-17T13:54:08.691Z] The best model improves the baseline by 14.52%. [2026-01-17T13:54:08.691Z] Top recommended movies for user id 72: [2026-01-17T13:54:08.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:54:08.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:54:08.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:54:08.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:54:08.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:54:08.691Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13395.866 ms) ====== [2026-01-17T13:54:08.691Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-17T13:54:08.691Z] GC before operation: completed in 139.804 ms, heap usage 180.024 MB -> 89.824 MB. [2026-01-17T13:54:11.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:54:12.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:54:14.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:54:16.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:54:17.793Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:54:18.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:54:20.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:54:21.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:54:21.686Z] 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. [2026-01-17T13:54:21.686Z] The best model improves the baseline by 14.52%. [2026-01-17T13:54:21.686Z] Top recommended movies for user id 72: [2026-01-17T13:54:21.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:54:21.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:54:21.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:54:21.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:54:21.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:54:21.686Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13322.171 ms) ====== [2026-01-17T13:54:21.686Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-17T13:54:22.646Z] GC before operation: completed in 145.098 ms, heap usage 403.140 MB -> 90.204 MB. [2026-01-17T13:54:24.610Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:54:26.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:54:28.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:54:30.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:54:32.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:54:33.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:54:34.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:54:36.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:54:36.458Z] 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. [2026-01-17T13:54:36.458Z] The best model improves the baseline by 14.52%. [2026-01-17T13:54:36.458Z] Top recommended movies for user id 72: [2026-01-17T13:54:36.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:54:36.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:54:36.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:54:36.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:54:36.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:54:36.458Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14544.640 ms) ====== [2026-01-17T13:54:36.458Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-17T13:54:36.458Z] GC before operation: completed in 143.275 ms, heap usage 292.893 MB -> 89.917 MB. [2026-01-17T13:54:39.501Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:54:41.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:54:43.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:54:45.411Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:54:47.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:54:48.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:54:50.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:54:51.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:54:51.264Z] 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. [2026-01-17T13:54:51.264Z] The best model improves the baseline by 14.52%. [2026-01-17T13:54:51.264Z] Top recommended movies for user id 72: [2026-01-17T13:54:51.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:54:51.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:54:51.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:54:51.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:54:51.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:54:51.264Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14763.590 ms) ====== [2026-01-17T13:54:51.264Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-17T13:54:52.223Z] GC before operation: completed in 154.620 ms, heap usage 479.160 MB -> 90.308 MB. [2026-01-17T13:54:54.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:54:57.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:54:58.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:55:01.264Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:55:02.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:55:03.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:55:04.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:55:05.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:55:06.059Z] 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. [2026-01-17T13:55:06.059Z] The best model improves the baseline by 14.52%. [2026-01-17T13:55:06.059Z] Top recommended movies for user id 72: [2026-01-17T13:55:06.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T13:55:06.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T13:55:06.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T13:55:06.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T13:55:06.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T13:55:06.059Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14140.808 ms) ====== [2026-01-17T13:55:06.059Z] ----------------------------------- [2026-01-17T13:55:06.059Z] renaissance-movie-lens_0_PASSED [2026-01-17T13:55:06.059Z] ----------------------------------- [2026-01-17T13:55:06.059Z] [2026-01-17T13:55:06.059Z] TEST TEARDOWN: [2026-01-17T13:55:06.059Z] Nothing to be done for teardown. [2026-01-17T13:55:06.059Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 13:55:05 2026 Epoch Time (ms): 1768658105902