[2026-03-25T23:11:37.820Z] Running test renaissance-movie-lens_0 ... [2026-03-25T23:11:37.820Z] =============================================== [2026-03-25T23:11:37.820Z] renaissance-movie-lens_0 Start Time: Wed Mar 25 23:11:37 2026 Epoch Time (ms): 1774480297071 [2026-03-25T23:11:37.820Z] variation: NoOptions [2026-03-25T23:11:37.820Z] JVM_OPTIONS: [2026-03-25T23:11:37.820Z] { \ [2026-03-25T23:11:37.820Z] echo ""; echo "TEST SETUP:"; \ [2026-03-25T23:11:37.820Z] echo "Nothing to be done for setup."; \ [2026-03-25T23:11:37.820Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17744794246309/renaissance-movie-lens_0"; \ [2026-03-25T23:11:37.820Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17744794246309/renaissance-movie-lens_0"; \ [2026-03-25T23:11:37.820Z] echo ""; echo "TESTING:"; \ [2026-03-25T23:11:37.820Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-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_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17744794246309/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-25T23:11:37.820Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17744794246309/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-25T23:11:37.820Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-25T23:11:37.820Z] echo "Nothing to be done for teardown."; \ [2026-03-25T23:11:37.820Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17744794246309/TestTargetResult"; [2026-03-25T23:11:37.820Z] [2026-03-25T23:11:37.820Z] TEST SETUP: [2026-03-25T23:11:37.820Z] Nothing to be done for setup. [2026-03-25T23:11:37.820Z] [2026-03-25T23:11:37.820Z] TESTING: [2026-03-25T23:11:37.820Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-25T23:11:37.820Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17744794246309/renaissance-movie-lens_0/launcher-231137-9911370894248396303/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-25T23:11:37.820Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-25T23:11:37.820Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-25T23:11:44.567Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-25T23:11:53.583Z] 23:11:52.555 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-25T23:11:55.579Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-25T23:11:55.579Z] Training: 60056, validation: 20285, test: 19854 [2026-03-25T23:11:55.579Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-25T23:11:55.579Z] GC before operation: completed in 103.166 ms, heap usage 159.896 MB -> 75.669 MB. [2026-03-25T23:12:02.756Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:12:06.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:12:11.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:12:14.420Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:12:21.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:12:21.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:12:28.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:12:28.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:12:28.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:12:28.917Z] The best model improves the baseline by 14.52%. [2026-03-25T23:12:28.917Z] Top recommended movies for user id 72: [2026-03-25T23:12:28.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:12:28.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:12:28.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:12:28.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:12:28.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:12:28.917Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28056.718 ms) ====== [2026-03-25T23:12:28.917Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-25T23:12:28.917Z] GC before operation: completed in 143.610 ms, heap usage 159.982 MB -> 92.181 MB. [2026-03-25T23:12:28.917Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:12:40.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:12:40.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:12:40.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:12:40.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:12:55.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:12:55.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:12:55.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:12:55.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:12:55.688Z] The best model improves the baseline by 14.52%. [2026-03-25T23:12:55.688Z] Top recommended movies for user id 72: [2026-03-25T23:12:55.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:12:55.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:12:55.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:12:55.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:12:55.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:12:55.688Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20159.709 ms) ====== [2026-03-25T23:12:55.688Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-25T23:12:55.688Z] GC before operation: completed in 131.153 ms, heap usage 450.364 MB -> 88.772 MB. [2026-03-25T23:12:55.688Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:12:55.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:12:55.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:13:05.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:13:05.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:13:05.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:13:05.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:13:05.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:13:05.764Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:13:05.764Z] The best model improves the baseline by 14.52%. [2026-03-25T23:13:05.764Z] Top recommended movies for user id 72: [2026-03-25T23:13:05.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:13:05.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:13:05.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:13:05.764Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:13:05.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:13:05.764Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18422.808 ms) ====== [2026-03-25T23:13:05.764Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-25T23:13:05.764Z] GC before operation: completed in 146.765 ms, heap usage 264.706 MB -> 90.323 MB. [2026-03-25T23:13:06.758Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:13:08.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:13:10.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:13:12.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:13:14.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:13:16.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:13:17.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:13:19.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:13:19.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:13:19.343Z] The best model improves the baseline by 14.52%. [2026-03-25T23:13:19.343Z] Top recommended movies for user id 72: [2026-03-25T23:13:19.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:13:19.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:13:19.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:13:19.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:13:19.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:13:19.343Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16879.594 ms) ====== [2026-03-25T23:13:19.343Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-25T23:13:19.343Z] GC before operation: completed in 141.790 ms, heap usage 328.817 MB -> 89.586 MB. [2026-03-25T23:13:22.808Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:13:24.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:13:27.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:13:30.930Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:13:32.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:13:34.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:13:35.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:13:37.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:13:37.816Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:13:37.816Z] The best model improves the baseline by 14.52%. [2026-03-25T23:13:37.816Z] Top recommended movies for user id 72: [2026-03-25T23:13:37.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:13:37.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:13:37.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:13:37.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:13:37.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:13:37.816Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18188.677 ms) ====== [2026-03-25T23:13:37.816Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-25T23:13:37.816Z] GC before operation: completed in 139.426 ms, heap usage 443.120 MB -> 89.720 MB. [2026-03-25T23:13:40.865Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:13:43.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:13:46.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:13:48.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:13:50.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:13:51.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:13:52.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:13:54.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:13:54.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:13:54.953Z] The best model improves the baseline by 14.52%. [2026-03-25T23:13:54.953Z] Top recommended movies for user id 72: [2026-03-25T23:13:54.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:13:54.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:13:54.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:13:54.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:13:54.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:13:54.953Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16951.973 ms) ====== [2026-03-25T23:13:54.953Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-25T23:13:54.953Z] GC before operation: completed in 139.571 ms, heap usage 446.348 MB -> 90.017 MB. [2026-03-25T23:13:58.006Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:14:00.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:14:03.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:14:05.043Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:14:07.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:14:07.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:14:09.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:14:10.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:14:11.704Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:14:11.704Z] The best model improves the baseline by 14.52%. [2026-03-25T23:14:11.704Z] Top recommended movies for user id 72: [2026-03-25T23:14:11.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:14:11.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:14:11.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:14:11.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:14:11.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:14:11.704Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16290.195 ms) ====== [2026-03-25T23:14:11.704Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-25T23:14:11.704Z] GC before operation: completed in 143.246 ms, heap usage 187.610 MB -> 89.598 MB. [2026-03-25T23:14:13.680Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:14:16.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:14:18.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:14:21.792Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:14:22.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:14:24.742Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:14:25.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:14:27.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:14:27.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:14:27.737Z] The best model improves the baseline by 14.52%. [2026-03-25T23:14:27.737Z] Top recommended movies for user id 72: [2026-03-25T23:14:27.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:14:27.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:14:27.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:14:27.737Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:14:27.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:14:27.737Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16014.173 ms) ====== [2026-03-25T23:14:27.737Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-25T23:14:27.737Z] GC before operation: completed in 130.713 ms, heap usage 566.175 MB -> 93.528 MB. [2026-03-25T23:14:30.789Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:14:32.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:14:34.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:14:37.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:14:38.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:14:40.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:14:41.683Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:14:43.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:14:43.661Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:14:43.661Z] The best model improves the baseline by 14.52%. [2026-03-25T23:14:43.661Z] Top recommended movies for user id 72: [2026-03-25T23:14:43.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:14:43.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:14:43.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:14:43.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:14:43.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:14:43.661Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15816.411 ms) ====== [2026-03-25T23:14:43.661Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-25T23:14:43.661Z] GC before operation: completed in 134.893 ms, heap usage 404.990 MB -> 89.926 MB. [2026-03-25T23:14:46.710Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:14:48.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:14:51.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:14:53.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:14:54.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:14:56.663Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:14:57.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:14:58.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:14:59.555Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:14:59.555Z] The best model improves the baseline by 14.52%. [2026-03-25T23:14:59.555Z] Top recommended movies for user id 72: [2026-03-25T23:14:59.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:14:59.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:14:59.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:14:59.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:14:59.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:14:59.555Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15627.484 ms) ====== [2026-03-25T23:14:59.555Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-25T23:14:59.555Z] GC before operation: completed in 136.291 ms, heap usage 741.239 MB -> 93.973 MB. [2026-03-25T23:15:02.242Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:15:04.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:15:06.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:15:08.174Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:15:10.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:15:11.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:15:13.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:15:14.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:15:14.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:15:14.058Z] The best model improves the baseline by 14.52%. [2026-03-25T23:15:14.058Z] Top recommended movies for user id 72: [2026-03-25T23:15:14.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:15:14.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:15:14.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:15:14.058Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:15:14.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:15:14.058Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14719.500 ms) ====== [2026-03-25T23:15:14.058Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-25T23:15:14.058Z] GC before operation: completed in 148.755 ms, heap usage 542.167 MB -> 93.340 MB. [2026-03-25T23:15:17.111Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:15:19.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:15:21.054Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:15:23.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:15:23.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:15:25.975Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:15:26.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:15:27.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:15:28.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:15:28.861Z] The best model improves the baseline by 14.52%. [2026-03-25T23:15:28.861Z] Top recommended movies for user id 72: [2026-03-25T23:15:28.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:15:28.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:15:28.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:15:28.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:15:28.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:15:28.861Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14327.306 ms) ====== [2026-03-25T23:15:28.861Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-25T23:15:28.861Z] GC before operation: completed in 147.145 ms, heap usage 120.224 MB -> 89.873 MB. [2026-03-25T23:15:30.837Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:15:33.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:15:35.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:15:37.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:15:38.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:15:40.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:15:41.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:15:42.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:15:43.687Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:15:43.687Z] The best model improves the baseline by 14.52%. [2026-03-25T23:15:43.687Z] Top recommended movies for user id 72: [2026-03-25T23:15:43.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:15:43.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:15:43.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:15:43.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:15:43.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:15:43.687Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14713.386 ms) ====== [2026-03-25T23:15:43.687Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-25T23:15:43.687Z] GC before operation: completed in 137.105 ms, heap usage 198.310 MB -> 90.038 MB. [2026-03-25T23:15:45.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:15:48.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:15:50.689Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:15:52.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:15:54.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:15:56.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:15:57.298Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:15:58.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:15:59.221Z] 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. [2026-03-25T23:15:59.221Z] The best model improves the baseline by 14.52%. [2026-03-25T23:15:59.221Z] Top recommended movies for user id 72: [2026-03-25T23:15:59.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:15:59.221Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:15:59.221Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:15:59.221Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:15:59.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:15:59.221Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15261.438 ms) ====== [2026-03-25T23:15:59.221Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-25T23:15:59.221Z] GC before operation: completed in 129.769 ms, heap usage 363.162 MB -> 90.196 MB. [2026-03-25T23:16:01.254Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:16:04.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:16:06.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:16:08.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:16:10.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:16:11.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:16:13.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:16:14.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:16:14.272Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:16:14.272Z] The best model improves the baseline by 14.52%. [2026-03-25T23:16:14.272Z] Top recommended movies for user id 72: [2026-03-25T23:16:14.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:16:14.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:16:14.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:16:14.272Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:16:14.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:16:14.272Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15499.843 ms) ====== [2026-03-25T23:16:14.272Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-25T23:16:14.272Z] GC before operation: completed in 153.444 ms, heap usage 107.454 MB -> 90.025 MB. [2026-03-25T23:16:17.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:16:19.305Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:16:21.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:16:24.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:16:25.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:16:26.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:16:28.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:16:29.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:16:30.215Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:16:30.215Z] The best model improves the baseline by 14.52%. [2026-03-25T23:16:30.215Z] Top recommended movies for user id 72: [2026-03-25T23:16:30.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:16:30.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:16:30.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:16:30.215Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:16:30.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:16:30.215Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15288.948 ms) ====== [2026-03-25T23:16:30.215Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-25T23:16:30.215Z] GC before operation: completed in 128.060 ms, heap usage 443.672 MB -> 90.324 MB. [2026-03-25T23:16:32.191Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:16:35.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:16:37.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:16:39.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:16:41.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:16:42.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:16:44.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:16:45.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:16:45.149Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:16:45.149Z] The best model improves the baseline by 14.52%. [2026-03-25T23:16:45.149Z] Top recommended movies for user id 72: [2026-03-25T23:16:45.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:16:45.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:16:45.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:16:45.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:16:45.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:16:45.149Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15335.900 ms) ====== [2026-03-25T23:16:45.149Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-25T23:16:45.149Z] GC before operation: completed in 137.201 ms, heap usage 400.280 MB -> 90.294 MB. [2026-03-25T23:16:48.195Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:16:50.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:16:52.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:16:55.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:16:56.852Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:16:58.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:16:59.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:17:01.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:17:01.756Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:17:01.756Z] The best model improves the baseline by 14.52%. [2026-03-25T23:17:01.756Z] Top recommended movies for user id 72: [2026-03-25T23:17:01.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:17:01.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:17:01.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:17:01.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:17:01.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:17:01.756Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16006.612 ms) ====== [2026-03-25T23:17:01.756Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-25T23:17:01.756Z] GC before operation: completed in 134.307 ms, heap usage 295.172 MB -> 90.030 MB. [2026-03-25T23:17:04.798Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:17:06.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:17:08.975Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:17:10.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:17:12.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:17:13.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:17:15.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:17:16.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:17:17.785Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:17:17.785Z] The best model improves the baseline by 14.52%. [2026-03-25T23:17:17.785Z] Top recommended movies for user id 72: [2026-03-25T23:17:17.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:17:17.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:17:17.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:17:17.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:17:17.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:17:17.785Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15761.644 ms) ====== [2026-03-25T23:17:17.785Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-25T23:17:17.785Z] GC before operation: completed in 140.182 ms, heap usage 447.592 MB -> 90.367 MB. [2026-03-25T23:17:19.763Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-25T23:17:22.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-25T23:17:24.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-25T23:17:27.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-25T23:17:28.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-25T23:17:30.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-25T23:17:31.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-25T23:17:32.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-25T23:17:33.687Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-25T23:17:33.687Z] The best model improves the baseline by 14.52%. [2026-03-25T23:17:33.687Z] Top recommended movies for user id 72: [2026-03-25T23:17:33.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-25T23:17:33.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-25T23:17:33.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-25T23:17:33.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-25T23:17:33.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-25T23:17:33.687Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15948.164 ms) ====== [2026-03-25T23:17:34.647Z] ----------------------------------- [2026-03-25T23:17:34.647Z] renaissance-movie-lens_0_PASSED [2026-03-25T23:17:34.647Z] ----------------------------------- [2026-03-25T23:17:34.647Z] [2026-03-25T23:17:34.647Z] TEST TEARDOWN: [2026-03-25T23:17:34.647Z] Nothing to be done for teardown. [2026-03-25T23:17:34.647Z] renaissance-movie-lens_0 Finish Time: Wed Mar 25 23:17:33 2026 Epoch Time (ms): 1774480653811