[2026-01-11T15:10:32.656Z] Running test renaissance-movie-lens_0 ... [2026-01-11T15:10:32.656Z] =============================================== [2026-01-11T15:10:32.656Z] renaissance-movie-lens_0 Start Time: Sun Jan 11 15:10:28 2026 Epoch Time (ms): 1768144228436 [2026-01-11T15:10:32.656Z] variation: NoOptions [2026-01-11T15:10:32.656Z] JVM_OPTIONS: [2026-01-11T15:10:32.656Z] { \ [2026-01-11T15:10:32.656Z] echo ""; echo "TEST SETUP:"; \ [2026-01-11T15:10:32.656Z] echo "Nothing to be done for setup."; \ [2026-01-11T15:10:32.656Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17681392539916/renaissance-movie-lens_0"; \ [2026-01-11T15:10:32.656Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17681392539916/renaissance-movie-lens_0"; \ [2026-01-11T15:10:32.656Z] echo ""; echo "TESTING:"; \ [2026-01-11T15:10:32.656Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_riscv64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17681392539916/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-11T15:10:32.656Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17681392539916/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-11T15:10:32.656Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-11T15:10:32.656Z] echo "Nothing to be done for teardown."; \ [2026-01-11T15:10:32.656Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17681392539916/TestTargetResult"; [2026-01-11T15:10:32.656Z] [2026-01-11T15:10:32.656Z] TEST SETUP: [2026-01-11T15:10:32.656Z] Nothing to be done for setup. [2026-01-11T15:10:32.656Z] [2026-01-11T15:10:32.656Z] TESTING: [2026-01-11T15:10:32.656Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-11T15:10:32.656Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/output_17681392539916/renaissance-movie-lens_0/launcher-151029-14581818757074601762/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-11T15:10:32.656Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-11T15:10:32.656Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-11T15:10:55.934Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-11T15:11:23.767Z] 15:11:23.334 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. [2026-01-11T15:11:34.707Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-11T15:11:37.062Z] Training: 60056, validation: 20285, test: 19854 [2026-01-11T15:11:37.062Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-11T15:11:37.398Z] GC before operation: completed in 561.939 ms, heap usage 330.899 MB -> 75.904 MB. [2026-01-11T15:12:05.354Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:12:18.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:12:31.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:12:42.685Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:12:48.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:12:53.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:13:01.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:13:06.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:13:07.345Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T15:13:07.345Z] The best model improves the baseline by 14.52%. [2026-01-11T15:13:08.521Z] Top recommended movies for user id 72: [2026-01-11T15:13:08.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:13:08.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:13:08.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:13:08.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:13:08.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:13:08.521Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91006.963 ms) ====== [2026-01-11T15:13:08.521Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-11T15:13:09.716Z] GC before operation: completed in 1105.498 ms, heap usage 910.637 MB -> 93.105 MB. [2026-01-11T15:13:20.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:13:31.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:13:40.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:13:51.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:13:56.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:14:02.357Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:14:08.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:14:14.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:14:14.771Z] 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. [2026-01-11T15:14:14.771Z] The best model improves the baseline by 14.52%. [2026-01-11T15:14:15.498Z] Top recommended movies for user id 72: [2026-01-11T15:14:15.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:14:15.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:14:15.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:14:15.498Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:14:15.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:14:15.498Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66168.266 ms) ====== [2026-01-11T15:14:15.498Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-11T15:14:16.671Z] GC before operation: completed in 964.024 ms, heap usage 210.487 MB -> 88.460 MB. [2026-01-11T15:14:27.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:14:36.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:14:45.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:14:52.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:14:58.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:15:03.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:15:08.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:15:13.589Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:15:14.309Z] 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. [2026-01-11T15:15:14.644Z] The best model improves the baseline by 14.52%. [2026-01-11T15:15:15.374Z] Top recommended movies for user id 72: [2026-01-11T15:15:15.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:15:15.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:15:15.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:15:15.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:15:15.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:15:15.374Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58606.313 ms) ====== [2026-01-11T15:15:15.374Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-11T15:15:16.114Z] GC before operation: completed in 953.254 ms, heap usage 570.007 MB -> 92.713 MB. [2026-01-11T15:15:25.073Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:15:34.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:15:41.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:15:50.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:15:56.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:16:02.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:16:07.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:16:13.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:16:13.296Z] 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. [2026-01-11T15:16:13.634Z] The best model improves the baseline by 14.52%. [2026-01-11T15:16:14.359Z] Top recommended movies for user id 72: [2026-01-11T15:16:14.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:16:14.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:16:14.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:16:14.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:16:14.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:16:14.359Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58212.091 ms) ====== [2026-01-11T15:16:14.359Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-11T15:16:15.100Z] GC before operation: completed in 781.338 ms, heap usage 300.656 MB -> 89.547 MB. [2026-01-11T15:16:24.357Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:16:33.324Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:16:42.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:16:51.279Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:16:57.239Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:17:03.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:17:08.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:17:12.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:17:14.043Z] 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. [2026-01-11T15:17:14.043Z] The best model improves the baseline by 14.52%. [2026-01-11T15:17:14.781Z] Top recommended movies for user id 72: [2026-01-11T15:17:14.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:17:14.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:17:14.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:17:14.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:17:14.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:17:14.781Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (59666.683 ms) ====== [2026-01-11T15:17:14.781Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-11T15:17:15.503Z] GC before operation: completed in 779.228 ms, heap usage 376.876 MB -> 89.512 MB. [2026-01-11T15:17:26.390Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:17:33.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:17:42.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:17:50.000Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:17:56.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:18:00.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:18:06.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:18:11.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:18:12.819Z] 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. [2026-01-11T15:18:12.819Z] The best model improves the baseline by 14.52%. [2026-01-11T15:18:13.556Z] Top recommended movies for user id 72: [2026-01-11T15:18:13.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:18:13.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:18:13.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:18:13.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:18:13.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:18:13.556Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57834.785 ms) ====== [2026-01-11T15:18:13.556Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-11T15:18:14.298Z] GC before operation: completed in 802.363 ms, heap usage 302.118 MB -> 89.745 MB. [2026-01-11T15:18:23.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:18:30.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:18:39.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:18:47.043Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:18:52.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:18:57.794Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:19:02.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:19:07.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:19:08.246Z] 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. [2026-01-11T15:19:08.581Z] The best model improves the baseline by 14.52%. [2026-01-11T15:19:08.917Z] Top recommended movies for user id 72: [2026-01-11T15:19:08.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:19:08.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:19:08.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:19:08.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:19:08.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:19:08.917Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (54770.403 ms) ====== [2026-01-11T15:19:08.917Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-11T15:19:09.650Z] GC before operation: completed in 799.838 ms, heap usage 385.390 MB -> 89.775 MB. [2026-01-11T15:19:18.606Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:19:25.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:19:34.978Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:19:40.946Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:19:45.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:19:50.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:19:55.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:20:00.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:20:01.013Z] 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. [2026-01-11T15:20:01.013Z] The best model improves the baseline by 14.52%. [2026-01-11T15:20:01.734Z] Top recommended movies for user id 72: [2026-01-11T15:20:01.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:20:01.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:20:01.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:20:01.734Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:20:01.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:20:01.734Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51956.589 ms) ====== [2026-01-11T15:20:01.734Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-11T15:20:02.469Z] GC before operation: completed in 843.247 ms, heap usage 281.102 MB -> 89.872 MB. [2026-01-11T15:20:11.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:20:18.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:20:26.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:20:33.575Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:20:38.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:20:43.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:20:48.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:20:52.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:20:53.585Z] 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. [2026-01-11T15:20:53.585Z] The best model improves the baseline by 14.52%. [2026-01-11T15:20:54.306Z] Top recommended movies for user id 72: [2026-01-11T15:20:54.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:20:54.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:20:54.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:20:54.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:20:54.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:20:54.306Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51777.749 ms) ====== [2026-01-11T15:20:54.306Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-11T15:20:55.493Z] GC before operation: completed in 858.425 ms, heap usage 756.021 MB -> 93.585 MB. [2026-01-11T15:21:04.565Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:21:11.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:21:19.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:21:26.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:21:30.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:21:35.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:21:40.210Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:21:45.013Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:21:46.178Z] 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. [2026-01-11T15:21:46.178Z] The best model improves the baseline by 14.52%. [2026-01-11T15:21:46.902Z] Top recommended movies for user id 72: [2026-01-11T15:21:46.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:21:46.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:21:46.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:21:46.902Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:21:46.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:21:46.902Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51494.356 ms) ====== [2026-01-11T15:21:46.902Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-11T15:21:47.641Z] GC before operation: completed in 791.957 ms, heap usage 103.135 MB -> 93.358 MB. [2026-01-11T15:21:56.599Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:22:03.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:22:12.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:22:20.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:22:25.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:22:31.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:22:35.826Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:22:41.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:22:41.786Z] 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. [2026-01-11T15:22:42.121Z] The best model improves the baseline by 14.52%. [2026-01-11T15:22:42.456Z] Top recommended movies for user id 72: [2026-01-11T15:22:42.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:22:42.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:22:42.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:22:42.456Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:22:42.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:22:42.456Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54974.659 ms) ====== [2026-01-11T15:22:42.456Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-11T15:22:43.199Z] GC before operation: completed in 798.946 ms, heap usage 533.145 MB -> 90.105 MB. [2026-01-11T15:22:52.169Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:23:01.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:23:08.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:23:15.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:23:20.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:23:26.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:23:31.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:23:37.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:23:37.482Z] 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. [2026-01-11T15:23:37.819Z] The best model improves the baseline by 14.52%. [2026-01-11T15:23:38.154Z] Top recommended movies for user id 72: [2026-01-11T15:23:38.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:23:38.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:23:38.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:23:38.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:23:38.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:23:38.154Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54977.821 ms) ====== [2026-01-11T15:23:38.154Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-11T15:23:39.336Z] GC before operation: completed in 796.093 ms, heap usage 487.187 MB -> 90.294 MB. [2026-01-11T15:23:48.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:23:55.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:24:04.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:24:12.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:24:16.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:24:22.853Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:24:27.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:24:32.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:24:33.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T15:24:33.192Z] The best model improves the baseline by 14.52%. [2026-01-11T15:24:33.910Z] Top recommended movies for user id 72: [2026-01-11T15:24:33.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:24:33.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:24:33.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:24:33.910Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:24:33.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:24:33.910Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (54799.240 ms) ====== [2026-01-11T15:24:33.910Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-11T15:24:34.643Z] GC before operation: completed in 809.752 ms, heap usage 247.075 MB -> 90.101 MB. [2026-01-11T15:24:43.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:24:51.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:25:00.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:25:07.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:25:13.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:25:18.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:25:22.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:25:27.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:25:28.576Z] 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. [2026-01-11T15:25:28.576Z] The best model improves the baseline by 14.52%. [2026-01-11T15:25:29.303Z] Top recommended movies for user id 72: [2026-01-11T15:25:29.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:25:29.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:25:29.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:25:29.303Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:25:29.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:25:29.303Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54449.100 ms) ====== [2026-01-11T15:25:29.303Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-11T15:25:30.036Z] GC before operation: completed in 797.905 ms, heap usage 140.223 MB -> 89.691 MB. [2026-01-11T15:25:39.013Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:25:47.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:25:56.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:26:04.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:26:08.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:26:14.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:26:18.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:26:23.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:26:24.853Z] 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. [2026-01-11T15:26:24.853Z] The best model improves the baseline by 14.52%. [2026-01-11T15:26:25.623Z] Top recommended movies for user id 72: [2026-01-11T15:26:25.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:26:25.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:26:25.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:26:25.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:26:25.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:26:25.623Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (55485.121 ms) ====== [2026-01-11T15:26:25.623Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-11T15:26:26.361Z] GC before operation: completed in 823.943 ms, heap usage 115.175 MB -> 89.960 MB. [2026-01-11T15:26:35.325Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:26:44.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:26:51.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:27:00.664Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:27:04.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:27:09.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:27:15.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:27:20.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:27:21.339Z] 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. [2026-01-11T15:27:21.339Z] The best model improves the baseline by 14.52%. [2026-01-11T15:27:22.065Z] Top recommended movies for user id 72: [2026-01-11T15:27:22.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:27:22.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:27:22.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:27:22.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:27:22.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:27:22.065Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55720.088 ms) ====== [2026-01-11T15:27:22.065Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-11T15:27:22.807Z] GC before operation: completed in 816.279 ms, heap usage 592.167 MB -> 93.662 MB. [2026-01-11T15:27:31.774Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:27:40.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:27:48.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:27:55.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:28:00.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:28:05.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:28:09.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:28:13.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:28:14.940Z] 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. [2026-01-11T15:28:14.940Z] The best model improves the baseline by 14.52%. [2026-01-11T15:28:15.694Z] Top recommended movies for user id 72: [2026-01-11T15:28:15.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:28:15.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:28:15.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:28:15.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:28:15.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:28:15.694Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (52686.336 ms) ====== [2026-01-11T15:28:15.694Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-11T15:28:16.433Z] GC before operation: completed in 845.653 ms, heap usage 1003.192 MB -> 94.837 MB. [2026-01-11T15:28:25.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:28:32.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:28:40.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:28:47.619Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:28:51.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:28:56.248Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:29:01.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:29:05.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:29:06.221Z] 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. [2026-01-11T15:29:06.221Z] The best model improves the baseline by 14.52%. [2026-01-11T15:29:06.555Z] Top recommended movies for user id 72: [2026-01-11T15:29:06.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:29:06.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:29:06.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:29:06.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:29:06.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:29:06.555Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50372.602 ms) ====== [2026-01-11T15:29:06.555Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-11T15:29:07.771Z] GC before operation: completed in 844.619 ms, heap usage 637.042 MB -> 93.614 MB. [2026-01-11T15:29:16.741Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:29:22.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:29:31.654Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:29:37.668Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:29:42.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:29:47.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:29:52.046Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:29:56.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:29:57.168Z] 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. [2026-01-11T15:29:57.504Z] The best model improves the baseline by 14.52%. [2026-01-11T15:29:58.229Z] Top recommended movies for user id 72: [2026-01-11T15:29:58.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:29:58.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:29:58.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:29:58.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:29:58.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:29:58.229Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (50495.572 ms) ====== [2026-01-11T15:29:58.229Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-11T15:29:58.964Z] GC before operation: completed in 863.509 ms, heap usage 768.095 MB -> 93.865 MB. [2026-01-11T15:30:08.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T15:30:15.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T15:30:22.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T15:30:30.070Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T15:30:33.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T15:30:38.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T15:30:43.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T15:30:49.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T15:30:49.865Z] 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. [2026-01-11T15:30:49.865Z] The best model improves the baseline by 14.52%. [2026-01-11T15:30:50.591Z] Top recommended movies for user id 72: [2026-01-11T15:30:50.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T15:30:50.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T15:30:50.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T15:30:50.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T15:30:50.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T15:30:50.591Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51653.395 ms) ====== [2026-01-11T15:30:53.585Z] ----------------------------------- [2026-01-11T15:30:53.586Z] renaissance-movie-lens_0_PASSED [2026-01-11T15:30:53.586Z] ----------------------------------- [2026-01-11T15:30:53.586Z] [2026-01-11T15:30:53.586Z] TEST TEARDOWN: [2026-01-11T15:30:53.586Z] Nothing to be done for teardown. [2026-01-11T15:30:53.586Z] renaissance-movie-lens_0 Finish Time: Sun Jan 11 15:30:53 2026 Epoch Time (ms): 1768145453522