Test Results Summary Service

renaissance-movie-lens_0

[2026-01-14T23:03:03.596Z] Running test renaissance-movie-lens_0 ... [2026-01-14T23:03:03.596Z] =============================================== [2026-01-14T23:03:03.596Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 23:03:03 2026 Epoch Time (ms): 1768431783558 [2026-01-14T23:03:03.596Z] variation: NoOptions [2026-01-14T23:03:03.596Z] JVM_OPTIONS: [2026-01-14T23:03:03.596Z] { \ [2026-01-14T23:03:03.596Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T23:03:03.596Z] echo "Nothing to be done for setup."; \ [2026-01-14T23:03:03.596Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17684290761353/renaissance-movie-lens_0"; \ [2026-01-14T23:03:03.596Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17684290761353/renaissance-movie-lens_0"; \ [2026-01-14T23:03:03.596Z] echo ""; echo "TESTING:"; \ [2026-01-14T23:03:03.596Z] "/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_17684290761353/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T23:03:03.596Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17684290761353/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T23:03:03.596Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T23:03:03.596Z] echo "Nothing to be done for teardown."; \ [2026-01-14T23:03:03.596Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17684290761353/TestTargetResult"; [2026-01-14T23:03:03.596Z] [2026-01-14T23:03:03.596Z] TEST SETUP: [2026-01-14T23:03:03.596Z] Nothing to be done for setup. [2026-01-14T23:03:03.596Z] [2026-01-14T23:03:03.596Z] TESTING: [2026-01-14T23:03:06.595Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-14T23:03:06.595Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17684290761353/renaissance-movie-lens_0/launcher-230304-16086766231788885538/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-14T23:03:06.595Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-14T23:03:06.595Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-14T23:03:29.788Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T23:03:57.799Z] 23:03:57.605 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. [2026-01-14T23:04:08.714Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T23:04:09.438Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T23:04:09.438Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T23:04:10.182Z] GC before operation: completed in 629.978 ms, heap usage 447.932 MB -> 75.883 MB. [2026-01-14T23:04:38.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:04:48.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:05:02.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:05:13.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:05:19.390Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:05:26.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:05:32.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:05:38.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:05:39.862Z] 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. [2026-01-14T23:05:40.195Z] The best model improves the baseline by 14.52%. [2026-01-14T23:05:40.914Z] Top recommended movies for user id 72: [2026-01-14T23:05:40.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:05:40.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:05:40.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:05:40.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:05:40.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:05:40.914Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90824.050 ms) ====== [2026-01-14T23:05:40.914Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T23:05:42.199Z] GC before operation: completed in 1080.995 ms, heap usage 508.079 MB -> 88.737 MB. [2026-01-14T23:05:53.080Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:06:03.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:06:12.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:06:21.988Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:06:27.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:06:32.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:06:40.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:06:45.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:06:46.189Z] 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. [2026-01-14T23:06:46.189Z] The best model improves the baseline by 14.52%. [2026-01-14T23:06:46.912Z] Top recommended movies for user id 72: [2026-01-14T23:06:46.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:06:46.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:06:46.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:06:46.913Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:06:46.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:06:46.913Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64774.840 ms) ====== [2026-01-14T23:06:46.913Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T23:06:47.655Z] GC before operation: completed in 910.650 ms, heap usage 127.803 MB -> 88.531 MB. [2026-01-14T23:06:58.584Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:07:05.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:07:14.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:07:22.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:07:28.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:07:33.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:07:37.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:07:42.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:07:43.470Z] 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. [2026-01-14T23:07:43.807Z] The best model improves the baseline by 14.52%. [2026-01-14T23:07:44.527Z] Top recommended movies for user id 72: [2026-01-14T23:07:44.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:07:44.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:07:44.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:07:44.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:07:44.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:07:44.527Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (56660.793 ms) ====== [2026-01-14T23:07:44.527Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T23:07:45.260Z] GC before operation: completed in 958.828 ms, heap usage 914.495 MB -> 93.741 MB. [2026-01-14T23:07:54.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:08:03.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:08:10.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:08:19.915Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:08:25.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:08:31.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:08:37.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:08:42.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:08:43.880Z] 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. [2026-01-14T23:08:43.880Z] The best model improves the baseline by 14.52%. [2026-01-14T23:08:44.615Z] Top recommended movies for user id 72: [2026-01-14T23:08:44.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:08:44.615Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:08:44.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:08:44.615Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:08:44.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:08:44.615Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59058.258 ms) ====== [2026-01-14T23:08:44.615Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T23:08:45.349Z] GC before operation: completed in 738.328 ms, heap usage 441.222 MB -> 89.664 MB. [2026-01-14T23:08:54.488Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:09:03.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:09:12.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:09:21.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:09:27.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:09:32.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:09:38.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:09:43.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:09:44.276Z] 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. [2026-01-14T23:09:44.276Z] The best model improves the baseline by 14.52%. [2026-01-14T23:09:45.459Z] Top recommended movies for user id 72: [2026-01-14T23:09:45.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:09:45.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:09:45.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:09:45.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:09:45.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:09:45.459Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60027.552 ms) ====== [2026-01-14T23:09:45.459Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T23:09:46.188Z] GC before operation: completed in 750.270 ms, heap usage 374.852 MB -> 89.615 MB. [2026-01-14T23:09:57.109Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:10:04.454Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:10:13.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:10:20.833Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:10:26.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:10:32.051Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:10:36.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:10:41.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:10:42.455Z] 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. [2026-01-14T23:10:42.455Z] The best model improves the baseline by 14.52%. [2026-01-14T23:10:43.189Z] Top recommended movies for user id 72: [2026-01-14T23:10:43.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:10:43.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:10:43.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:10:43.189Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:10:43.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:10:43.189Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57199.144 ms) ====== [2026-01-14T23:10:43.189Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T23:10:43.927Z] GC before operation: completed in 770.770 ms, heap usage 443.198 MB -> 89.949 MB. [2026-01-14T23:10:52.900Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:11:01.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:11:09.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:11:18.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:11:22.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:11:26.960Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:11:31.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:11:36.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:11:37.139Z] 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. [2026-01-14T23:11:37.139Z] The best model improves the baseline by 14.52%. [2026-01-14T23:11:37.473Z] Top recommended movies for user id 72: [2026-01-14T23:11:37.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:11:37.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:11:37.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:11:37.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:11:37.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:11:37.473Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53616.613 ms) ====== [2026-01-14T23:11:37.473Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T23:11:38.640Z] GC before operation: completed in 840.351 ms, heap usage 1016.563 MB -> 94.519 MB. [2026-01-14T23:11:47.587Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:11:55.054Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:12:02.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:12:09.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:12:14.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:12:18.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:12:23.190Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:12:28.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:12:28.728Z] 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. [2026-01-14T23:12:28.728Z] The best model improves the baseline by 14.52%. [2026-01-14T23:12:29.454Z] Top recommended movies for user id 72: [2026-01-14T23:12:29.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:12:29.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:12:29.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:12:29.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:12:29.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:12:29.454Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (50983.495 ms) ====== [2026-01-14T23:12:29.454Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T23:12:30.188Z] GC before operation: completed in 814.553 ms, heap usage 299.559 MB -> 90.025 MB. [2026-01-14T23:12:39.185Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:12:46.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:12:53.866Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:13:01.203Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:13:06.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:13:10.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:13:15.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:13:19.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:13:20.656Z] 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. [2026-01-14T23:13:20.656Z] The best model improves the baseline by 14.52%. [2026-01-14T23:13:21.399Z] Top recommended movies for user id 72: [2026-01-14T23:13:21.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:13:21.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:13:21.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:13:21.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:13:21.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:13:21.400Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51181.983 ms) ====== [2026-01-14T23:13:21.400Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T23:13:22.139Z] GC before operation: completed in 787.600 ms, heap usage 645.639 MB -> 93.603 MB. [2026-01-14T23:13:31.180Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:13:38.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:13:45.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:13:53.208Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:13:57.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:14:01.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:14:06.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:14:11.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:14:11.936Z] 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. [2026-01-14T23:14:12.271Z] The best model improves the baseline by 14.52%. [2026-01-14T23:14:12.605Z] Top recommended movies for user id 72: [2026-01-14T23:14:12.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:14:12.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:14:12.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:14:12.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:14:12.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:14:12.605Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50519.406 ms) ====== [2026-01-14T23:14:12.605Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T23:14:13.346Z] GC before operation: completed in 782.298 ms, heap usage 274.485 MB -> 90.147 MB. [2026-01-14T23:14:20.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:14:28.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:14:35.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:14:42.737Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:14:47.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:14:52.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:14:57.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:15:01.023Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:15:02.188Z] 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. [2026-01-14T23:15:02.188Z] The best model improves the baseline by 14.52%. [2026-01-14T23:15:02.912Z] Top recommended movies for user id 72: [2026-01-14T23:15:02.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:15:02.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:15:02.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:15:02.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:15:02.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:15:02.912Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49523.297 ms) ====== [2026-01-14T23:15:02.912Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T23:15:04.079Z] GC before operation: completed in 839.143 ms, heap usage 308.040 MB -> 89.897 MB. [2026-01-14T23:15:13.054Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:15:22.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:15:29.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:15:36.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:15:41.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:15:47.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:15:52.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:15:57.120Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:15:57.462Z] 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. [2026-01-14T23:15:57.462Z] The best model improves the baseline by 14.52%. [2026-01-14T23:15:58.200Z] Top recommended movies for user id 72: [2026-01-14T23:15:58.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:15:58.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:15:58.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:15:58.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:15:58.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:15:58.200Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54239.258 ms) ====== [2026-01-14T23:15:58.200Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T23:15:58.943Z] GC before operation: completed in 774.949 ms, heap usage 219.123 MB -> 89.974 MB. [2026-01-14T23:16:07.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:16:15.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:16:22.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:16:30.180Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:16:34.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:16:39.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:16:43.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:16:48.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:16:49.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T23:16:49.690Z] The best model improves the baseline by 14.52%. [2026-01-14T23:16:50.025Z] Top recommended movies for user id 72: [2026-01-14T23:16:50.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:16:50.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:16:50.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:16:50.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:16:50.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:16:50.025Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51264.313 ms) ====== [2026-01-14T23:16:50.025Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T23:16:51.216Z] GC before operation: completed in 837.371 ms, heap usage 715.874 MB -> 94.057 MB. [2026-01-14T23:17:00.268Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:17:07.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:17:14.947Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:17:22.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:17:27.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:17:30.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:17:35.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:17:40.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:17:41.075Z] 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. [2026-01-14T23:17:41.075Z] The best model improves the baseline by 14.52%. [2026-01-14T23:17:41.795Z] Top recommended movies for user id 72: [2026-01-14T23:17:41.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:17:41.795Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:17:41.795Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:17:41.795Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:17:41.795Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:17:41.795Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50900.840 ms) ====== [2026-01-14T23:17:41.795Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T23:17:42.539Z] GC before operation: completed in 804.623 ms, heap usage 239.552 MB -> 90.018 MB. [2026-01-14T23:17:51.548Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:17:58.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:18:06.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:18:12.194Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:18:17.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:18:21.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:18:25.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:18:30.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:18:31.352Z] 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. [2026-01-14T23:18:31.352Z] The best model improves the baseline by 14.52%. [2026-01-14T23:18:32.080Z] Top recommended movies for user id 72: [2026-01-14T23:18:32.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:18:32.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:18:32.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:18:32.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:18:32.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:18:32.080Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49353.593 ms) ====== [2026-01-14T23:18:32.080Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T23:18:32.827Z] GC before operation: completed in 787.162 ms, heap usage 270.080 MB -> 90.260 MB. [2026-01-14T23:18:41.800Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:18:49.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:18:58.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:19:05.467Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:19:10.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:19:15.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:19:19.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:19:24.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:19:25.470Z] 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. [2026-01-14T23:19:25.471Z] The best model improves the baseline by 14.52%. [2026-01-14T23:19:26.192Z] Top recommended movies for user id 72: [2026-01-14T23:19:26.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:19:26.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:19:26.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:19:26.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:19:26.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:19:26.192Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (53433.451 ms) ====== [2026-01-14T23:19:26.192Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T23:19:26.947Z] GC before operation: completed in 784.552 ms, heap usage 302.113 MB -> 90.215 MB. [2026-01-14T23:19:35.959Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:19:43.305Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:19:52.415Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:19:59.760Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:20:04.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:20:09.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:20:14.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:20:19.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:20:20.177Z] 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. [2026-01-14T23:20:20.177Z] The best model improves the baseline by 14.52%. [2026-01-14T23:20:20.898Z] Top recommended movies for user id 72: [2026-01-14T23:20:20.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:20:20.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:20:20.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:20:20.898Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:20:20.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:20:20.898Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53837.557 ms) ====== [2026-01-14T23:20:20.898Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T23:20:21.641Z] GC before operation: completed in 784.781 ms, heap usage 207.793 MB -> 90.087 MB. [2026-01-14T23:20:30.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:20:39.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:20:46.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:20:54.329Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:21:00.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:21:05.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:21:09.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:21:14.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:21:15.119Z] 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. [2026-01-14T23:21:15.119Z] The best model improves the baseline by 14.52%. [2026-01-14T23:21:15.852Z] Top recommended movies for user id 72: [2026-01-14T23:21:15.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:21:15.852Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:21:15.852Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:21:15.852Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:21:15.852Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:21:15.852Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54090.818 ms) ====== [2026-01-14T23:21:15.852Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T23:21:16.593Z] GC before operation: completed in 804.714 ms, heap usage 269.329 MB -> 90.021 MB. [2026-01-14T23:21:25.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:21:31.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:21:39.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:21:48.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:21:52.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:21:56.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:22:01.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:22:06.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:22:07.291Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T23:22:07.629Z] The best model improves the baseline by 14.52%. [2026-01-14T23:22:07.963Z] Top recommended movies for user id 72: [2026-01-14T23:22:07.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:22:07.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:22:07.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:22:07.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:22:07.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:22:07.963Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51518.664 ms) ====== [2026-01-14T23:22:07.963Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T23:22:08.739Z] GC before operation: completed in 787.058 ms, heap usage 389.039 MB -> 90.306 MB. [2026-01-14T23:22:17.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:22:25.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:22:34.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:22:41.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:22:45.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:22:50.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:22:55.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:22:59.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:23:00.712Z] 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. [2026-01-14T23:23:01.048Z] The best model improves the baseline by 14.52%. [2026-01-14T23:23:01.768Z] Top recommended movies for user id 72: [2026-01-14T23:23:01.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:23:01.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:23:01.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:23:01.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:23:01.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:23:01.768Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (52829.189 ms) ====== [2026-01-14T23:23:05.600Z] ----------------------------------- [2026-01-14T23:23:05.600Z] renaissance-movie-lens_0_PASSED [2026-01-14T23:23:05.600Z] ----------------------------------- [2026-01-14T23:23:05.600Z] [2026-01-14T23:23:05.600Z] TEST TEARDOWN: [2026-01-14T23:23:05.600Z] Nothing to be done for teardown. [2026-01-14T23:23:05.600Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 23:23:04 2026 Epoch Time (ms): 1768432984818