[2026-01-26T09:17:21.619Z] Running test renaissance-movie-lens_0 ... [2026-01-26T09:17:21.619Z] =============================================== [2026-01-26T09:17:21.619Z] renaissance-movie-lens_0 Start Time: Mon Jan 26 09:17:19 2026 Epoch Time (ms): 1769419039587 [2026-01-26T09:17:21.619Z] variation: NoOptions [2026-01-26T09:17:21.619Z] JVM_OPTIONS: [2026-01-26T09:17:21.619Z] { \ [2026-01-26T09:17:21.619Z] echo ""; echo "TEST SETUP:"; \ [2026-01-26T09:17:21.619Z] echo "Nothing to be done for setup."; \ [2026-01-26T09:17:21.619Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17694159393562/renaissance-movie-lens_0"; \ [2026-01-26T09:17:21.619Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17694159393562/renaissance-movie-lens_0"; \ [2026-01-26T09:17:21.619Z] echo ""; echo "TESTING:"; \ [2026-01-26T09:17:21.619Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17694159393562/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-26T09:17:21.619Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17694159393562/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-26T09:17:21.619Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-26T09:17:21.619Z] echo "Nothing to be done for teardown."; \ [2026-01-26T09:17:21.619Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17694159393562/TestTargetResult"; [2026-01-26T09:17:21.619Z] [2026-01-26T09:17:21.619Z] TEST SETUP: [2026-01-26T09:17:21.619Z] Nothing to be done for setup. [2026-01-26T09:17:21.619Z] [2026-01-26T09:17:21.619Z] TESTING: [2026-01-26T09:17:22.341Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-26T09:17:22.341Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/output_17694159393562/renaissance-movie-lens_0/launcher-091720-6639933426675856024/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-26T09:17:22.341Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-26T09:17:22.341Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-26T09:17:45.486Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-26T09:18:18.946Z] 09:18:14.079 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-26T09:18:23.761Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-26T09:18:26.068Z] Training: 60056, validation: 20285, test: 19854 [2026-01-26T09:18:26.069Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-26T09:18:26.415Z] GC before operation: completed in 539.631 ms, heap usage 492.076 MB -> 76.026 MB. [2026-01-26T09:18:54.616Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:19:10.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:19:21.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:19:34.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:19:40.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:19:46.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:19:54.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:20:00.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:20:00.079Z] 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. [2026-01-26T09:20:00.416Z] The best model improves the baseline by 14.52%. [2026-01-26T09:20:01.589Z] Top recommended movies for user id 72: [2026-01-26T09:20:01.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:20:01.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:20:01.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:20:01.589Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:20:01.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:20:01.589Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (94923.288 ms) ====== [2026-01-26T09:20:01.589Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-26T09:20:02.769Z] GC before operation: completed in 1042.982 ms, heap usage 723.037 MB -> 95.240 MB. [2026-01-26T09:20:13.672Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:20:24.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:20:35.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:20:44.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:20:49.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:20:55.760Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:21:01.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:21:06.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:21:07.269Z] 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. [2026-01-26T09:21:07.269Z] The best model improves the baseline by 14.52%. [2026-01-26T09:21:07.993Z] Top recommended movies for user id 72: [2026-01-26T09:21:07.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:21:07.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:21:07.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:21:07.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:21:07.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:21:07.993Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65361.621 ms) ====== [2026-01-26T09:21:07.993Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-26T09:21:08.796Z] GC before operation: completed in 967.276 ms, heap usage 510.268 MB -> 89.048 MB. [2026-01-26T09:21:18.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:21:27.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:21:36.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:21:45.415Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:21:50.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:21:56.173Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:22:00.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:22:05.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:22:06.474Z] 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. [2026-01-26T09:22:06.474Z] The best model improves the baseline by 14.52%. [2026-01-26T09:22:07.193Z] Top recommended movies for user id 72: [2026-01-26T09:22:07.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:22:07.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:22:07.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:22:07.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:22:07.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:22:07.193Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58400.036 ms) ====== [2026-01-26T09:22:07.193Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-26T09:22:07.930Z] GC before operation: completed in 822.893 ms, heap usage 760.802 MB -> 93.214 MB. [2026-01-26T09:22:16.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:22:25.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:22:33.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:22:42.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:22:48.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:22:53.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:22:59.032Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:23:03.905Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:23:04.244Z] 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. [2026-01-26T09:23:04.244Z] The best model improves the baseline by 14.52%. [2026-01-26T09:23:05.418Z] Top recommended movies for user id 72: [2026-01-26T09:23:05.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:23:05.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:23:05.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:23:05.418Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:23:05.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:23:05.418Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57113.276 ms) ====== [2026-01-26T09:23:05.418Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-26T09:23:06.140Z] GC before operation: completed in 758.480 ms, heap usage 261.962 MB -> 89.665 MB. [2026-01-26T09:23:15.112Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:23:24.054Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:23:34.946Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:23:42.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:23:48.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:23:54.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:23:58.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:24:03.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:24:04.906Z] 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. [2026-01-26T09:24:04.906Z] The best model improves the baseline by 14.52%. [2026-01-26T09:24:05.622Z] Top recommended movies for user id 72: [2026-01-26T09:24:05.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:24:05.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:24:05.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:24:05.622Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:24:05.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:24:05.622Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (59720.938 ms) ====== [2026-01-26T09:24:05.622Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-26T09:24:06.359Z] GC before operation: completed in 819.156 ms, heap usage 635.138 MB -> 93.324 MB. [2026-01-26T09:24:15.414Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:24:24.359Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:24:31.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:24:38.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:24:43.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:24:48.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:24:53.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:24:57.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:24:58.340Z] 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. [2026-01-26T09:24:58.340Z] The best model improves the baseline by 14.52%. [2026-01-26T09:24:59.056Z] Top recommended movies for user id 72: [2026-01-26T09:24:59.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:24:59.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:24:59.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:24:59.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:24:59.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:24:59.057Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52390.831 ms) ====== [2026-01-26T09:24:59.057Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-26T09:24:59.782Z] GC before operation: completed in 799.795 ms, heap usage 803.601 MB -> 93.906 MB. [2026-01-26T09:25:09.116Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:25:16.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:25:23.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:25:32.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:25:36.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:25:41.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:25:46.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:25:51.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:25:51.352Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-26T09:25:51.684Z] The best model improves the baseline by 14.52%. [2026-01-26T09:25:52.017Z] Top recommended movies for user id 72: [2026-01-26T09:25:52.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:25:52.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:25:52.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:25:52.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:25:52.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:25:52.017Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52495.323 ms) ====== [2026-01-26T09:25:52.017Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-26T09:25:53.202Z] GC before operation: completed in 802.332 ms, heap usage 304.953 MB -> 90.017 MB. [2026-01-26T09:26:02.139Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:26:11.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:26:18.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:26:24.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:26:30.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:26:35.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:26:41.107Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:26:45.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:26:46.600Z] 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. [2026-01-26T09:26:46.600Z] The best model improves the baseline by 14.52%. [2026-01-26T09:26:47.316Z] Top recommended movies for user id 72: [2026-01-26T09:26:47.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:26:47.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:26:47.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:26:47.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:26:47.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:26:47.316Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54169.398 ms) ====== [2026-01-26T09:26:47.316Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-26T09:26:48.037Z] GC before operation: completed in 768.630 ms, heap usage 382.028 MB -> 90.264 MB. [2026-01-26T09:26:56.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:27:05.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:27:13.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:27:22.626Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:27:27.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:27:32.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:27:37.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:27:41.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:27:42.977Z] 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. [2026-01-26T09:27:42.977Z] The best model improves the baseline by 14.52%. [2026-01-26T09:27:43.701Z] Top recommended movies for user id 72: [2026-01-26T09:27:43.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:27:43.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:27:43.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:27:43.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:27:43.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:27:43.701Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55827.364 ms) ====== [2026-01-26T09:27:43.701Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-26T09:27:44.415Z] GC before operation: completed in 778.406 ms, heap usage 133.124 MB -> 89.715 MB. [2026-01-26T09:27:53.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:28:02.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:28:09.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:28:18.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:28:22.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:28:27.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:28:33.143Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:28:37.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:28:38.302Z] 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. [2026-01-26T09:28:38.302Z] The best model improves the baseline by 14.52%. [2026-01-26T09:28:39.476Z] Top recommended movies for user id 72: [2026-01-26T09:28:39.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:28:39.476Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:28:39.476Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:28:39.476Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:28:39.476Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:28:39.476Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54672.751 ms) ====== [2026-01-26T09:28:39.476Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-26T09:28:39.814Z] GC before operation: completed in 773.360 ms, heap usage 208.038 MB -> 90.036 MB. [2026-01-26T09:28:48.790Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:28:56.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:29:03.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:29:10.873Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:29:14.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:29:19.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:29:25.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:29:29.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:29:30.219Z] 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. [2026-01-26T09:29:30.219Z] The best model improves the baseline by 14.52%. [2026-01-26T09:29:30.954Z] Top recommended movies for user id 72: [2026-01-26T09:29:30.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:29:30.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:29:30.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:29:30.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:29:30.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:29:30.954Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (50815.129 ms) ====== [2026-01-26T09:29:30.954Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-26T09:29:31.688Z] GC before operation: completed in 819.303 ms, heap usage 718.879 MB -> 93.614 MB. [2026-01-26T09:29:40.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:29:47.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:29:55.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:30:02.641Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:30:06.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:30:11.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:30:16.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:30:20.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:30:21.147Z] 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. [2026-01-26T09:30:21.490Z] The best model improves the baseline by 14.52%. [2026-01-26T09:30:22.223Z] Top recommended movies for user id 72: [2026-01-26T09:30:22.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:30:22.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:30:22.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:30:22.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:30:22.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:30:22.223Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50458.307 ms) ====== [2026-01-26T09:30:22.223Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-26T09:30:22.967Z] GC before operation: completed in 793.483 ms, heap usage 187.423 MB -> 89.936 MB. [2026-01-26T09:30:31.922Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:30:38.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:30:47.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:30:54.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:31:00.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:31:05.206Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:31:10.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:31:14.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:31:15.971Z] 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. [2026-01-26T09:31:15.971Z] The best model improves the baseline by 14.52%. [2026-01-26T09:31:16.698Z] Top recommended movies for user id 72: [2026-01-26T09:31:16.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:31:16.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:31:16.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:31:16.698Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:31:16.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:31:16.698Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53688.042 ms) ====== [2026-01-26T09:31:16.698Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-26T09:31:17.431Z] GC before operation: completed in 763.647 ms, heap usage 350.192 MB -> 90.306 MB. [2026-01-26T09:31:26.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:31:33.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:31:41.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:31:48.527Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:31:53.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:31:58.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:32:02.919Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:32:07.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:32:08.430Z] 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. [2026-01-26T09:32:09.233Z] The best model improves the baseline by 14.52%. [2026-01-26T09:32:09.233Z] Top recommended movies for user id 72: [2026-01-26T09:32:09.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:32:09.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:32:09.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:32:09.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:32:09.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:32:09.233Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51982.569 ms) ====== [2026-01-26T09:32:09.233Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-26T09:32:09.970Z] GC before operation: completed in 797.760 ms, heap usage 279.376 MB -> 90.141 MB. [2026-01-26T09:32:18.913Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:32:26.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:32:35.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:32:42.616Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:32:47.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:32:53.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:32:57.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:33:01.950Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:33:02.691Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-26T09:33:02.691Z] The best model improves the baseline by 14.52%. [2026-01-26T09:33:03.420Z] Top recommended movies for user id 72: [2026-01-26T09:33:03.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:33:03.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:33:03.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:33:03.421Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:33:03.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:33:03.421Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53185.441 ms) ====== [2026-01-26T09:33:03.421Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-26T09:33:04.166Z] GC before operation: completed in 848.246 ms, heap usage 1.071 GB -> 95.369 MB. [2026-01-26T09:33:13.110Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:33:20.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:33:27.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:33:35.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:33:40.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:33:44.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:33:49.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:33:54.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:33:54.893Z] 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. [2026-01-26T09:33:55.226Z] The best model improves the baseline by 14.52%. [2026-01-26T09:33:55.561Z] Top recommended movies for user id 72: [2026-01-26T09:33:55.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:33:55.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:33:55.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:33:55.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:33:55.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:33:55.561Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51567.130 ms) ====== [2026-01-26T09:33:55.561Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-26T09:33:56.749Z] GC before operation: completed in 833.928 ms, heap usage 896.315 MB -> 94.265 MB. [2026-01-26T09:34:05.703Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:34:13.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:34:20.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:34:27.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:34:32.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:34:36.322Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:34:42.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:34:45.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:34:46.457Z] 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. [2026-01-26T09:34:46.792Z] The best model improves the baseline by 14.52%. [2026-01-26T09:34:47.130Z] Top recommended movies for user id 72: [2026-01-26T09:34:47.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:34:47.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:34:47.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:34:47.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:34:47.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:34:47.130Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50735.172 ms) ====== [2026-01-26T09:34:47.130Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-26T09:34:48.311Z] GC before operation: completed in 804.581 ms, heap usage 305.591 MB -> 90.266 MB. [2026-01-26T09:34:57.251Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:35:04.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:35:11.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:35:19.205Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:35:25.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:35:29.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:35:34.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:35:39.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:35:40.812Z] 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. [2026-01-26T09:35:40.812Z] The best model improves the baseline by 14.52%. [2026-01-26T09:35:41.537Z] Top recommended movies for user id 72: [2026-01-26T09:35:41.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:35:41.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:35:41.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:35:41.537Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:35:41.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:35:41.537Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (53376.072 ms) ====== [2026-01-26T09:35:41.537Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-26T09:35:42.278Z] GC before operation: completed in 767.194 ms, heap usage 361.051 MB -> 90.035 MB. [2026-01-26T09:35:51.451Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:35:58.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:36:07.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:36:15.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:36:21.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:36:25.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:36:30.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:36:35.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:36:36.659Z] 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. [2026-01-26T09:36:36.659Z] The best model improves the baseline by 14.52%. [2026-01-26T09:36:37.376Z] Top recommended movies for user id 72: [2026-01-26T09:36:37.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:36:37.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:36:37.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:36:37.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:36:37.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:36:37.376Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (55154.318 ms) ====== [2026-01-26T09:36:37.376Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-26T09:36:38.112Z] GC before operation: completed in 780.105 ms, heap usage 298.543 MB -> 90.286 MB. [2026-01-26T09:36:47.069Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-26T09:36:54.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-26T09:37:03.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-26T09:37:10.640Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-26T09:37:15.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-26T09:37:21.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-26T09:37:26.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-26T09:37:30.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-26T09:37:30.722Z] 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. [2026-01-26T09:37:31.058Z] The best model improves the baseline by 14.52%. [2026-01-26T09:37:31.775Z] Top recommended movies for user id 72: [2026-01-26T09:37:31.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-26T09:37:31.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-26T09:37:31.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-26T09:37:31.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-26T09:37:31.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-26T09:37:31.775Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53619.575 ms) ====== [2026-01-26T09:37:34.760Z] ----------------------------------- [2026-01-26T09:37:34.760Z] renaissance-movie-lens_0_PASSED [2026-01-26T09:37:34.760Z] ----------------------------------- [2026-01-26T09:37:35.092Z] [2026-01-26T09:37:35.092Z] TEST TEARDOWN: [2026-01-26T09:37:35.092Z] Nothing to be done for teardown. [2026-01-26T09:37:35.439Z] renaissance-movie-lens_0 Finish Time: Mon Jan 26 09:37:35 2026 Epoch Time (ms): 1769420255087