[2026-01-11T01:08:30.704Z] Running test renaissance-movie-lens_0 ... [2026-01-11T01:08:31.076Z] =============================================== [2026-01-11T01:08:31.076Z] renaissance-movie-lens_0 Start Time: Sun Jan 11 01:08:30 2026 Epoch Time (ms): 1768093710815 [2026-01-11T01:08:31.076Z] variation: NoOptions [2026-01-11T01:08:31.076Z] JVM_OPTIONS: [2026-01-11T01:08:31.076Z] { \ [2026-01-11T01:08:31.076Z] echo ""; echo "TEST SETUP:"; \ [2026-01-11T01:08:31.076Z] echo "Nothing to be done for setup."; \ [2026-01-11T01:08:31.076Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680916758975\\renaissance-movie-lens_0"; \ [2026-01-11T01:08:31.076Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680916758975\\renaissance-movie-lens_0"; \ [2026-01-11T01:08:31.076Z] echo ""; echo "TESTING:"; \ [2026-01-11T01:08:31.076Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680916758975\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-11T01:08:31.076Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680916758975\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-11T01:08:31.076Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-11T01:08:31.076Z] echo "Nothing to be done for teardown."; \ [2026-01-11T01:08:31.076Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680916758975\\TestTargetResult"; [2026-01-11T01:08:31.454Z] [2026-01-11T01:08:31.455Z] TEST SETUP: [2026-01-11T01:08:31.455Z] Nothing to be done for setup. [2026-01-11T01:08:31.455Z] [2026-01-11T01:08:31.455Z] TESTING: [2026-01-11T01:08:32.288Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-11T01:08:32.288Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17680916758975/renaissance-movie-lens_0/launcher-010831-8426280033675376164/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-11T01:08:32.288Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-11T01:08:32.288Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-11T01:08:43.743Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-11T01:08:52.271Z] 01:08:51.681 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-11T01:08:55.012Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-11T01:08:55.530Z] Training: 60056, validation: 20285, test: 19854 [2026-01-11T01:08:55.530Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-11T01:08:55.530Z] GC before operation: completed in 179.623 ms, heap usage 295.863 MB -> 76.133 MB. [2026-01-11T01:09:06.022Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:09:13.722Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:09:19.865Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:09:25.115Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:09:28.379Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:09:31.782Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:09:34.923Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:09:38.401Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:09:39.416Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:09:39.416Z] The best model improves the baseline by 14.34%. [2026-01-11T01:09:39.416Z] Top recommended movies for user id 72: [2026-01-11T01:09:39.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:09:39.416Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:09:39.416Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:09:39.416Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:09:39.416Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:09:39.416Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42938.282 ms) ====== [2026-01-11T01:09:39.416Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-11T01:09:39.416Z] GC before operation: completed in 218.607 ms, heap usage 321.710 MB -> 95.413 MB. [2026-01-11T01:09:44.331Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:09:49.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:09:54.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:09:59.332Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:10:02.474Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:10:06.355Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:10:09.415Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:10:12.473Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:10:12.473Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:10:12.473Z] The best model improves the baseline by 14.34%. [2026-01-11T01:10:12.987Z] Top recommended movies for user id 72: [2026-01-11T01:10:12.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:10:12.987Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:10:12.987Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:10:12.987Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:10:12.987Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:10:12.987Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (33901.767 ms) ====== [2026-01-11T01:10:12.987Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-11T01:10:12.987Z] GC before operation: completed in 204.061 ms, heap usage 411.847 MB -> 88.356 MB. [2026-01-11T01:10:19.504Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:10:24.941Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:10:29.829Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:10:34.907Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:10:37.952Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:10:40.409Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:10:43.597Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:10:46.705Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:10:47.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:10:47.174Z] The best model improves the baseline by 14.34%. [2026-01-11T01:10:47.174Z] Top recommended movies for user id 72: [2026-01-11T01:10:47.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:10:47.174Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:10:47.174Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:10:47.174Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:10:47.174Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:10:47.174Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (34260.820 ms) ====== [2026-01-11T01:10:47.174Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-11T01:10:47.735Z] GC before operation: completed in 193.631 ms, heap usage 362.750 MB -> 88.873 MB. [2026-01-11T01:10:52.697Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:10:57.784Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:11:03.881Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:11:07.826Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:11:10.911Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:11:14.059Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:11:17.236Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:11:20.326Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:11:20.326Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:11:20.326Z] The best model improves the baseline by 14.34%. [2026-01-11T01:11:20.870Z] Top recommended movies for user id 72: [2026-01-11T01:11:20.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:11:20.870Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:11:20.870Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:11:20.870Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:11:20.870Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:11:20.870Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33210.842 ms) ====== [2026-01-11T01:11:20.870Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-11T01:11:20.870Z] GC before operation: completed in 163.343 ms, heap usage 172.006 MB -> 94.468 MB. [2026-01-11T01:11:25.800Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:11:31.796Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:11:36.768Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:11:41.615Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:11:44.017Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:11:47.206Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:11:50.367Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:11:53.475Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:11:53.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:11:53.475Z] The best model improves the baseline by 14.34%. [2026-01-11T01:11:54.019Z] Top recommended movies for user id 72: [2026-01-11T01:11:54.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:11:54.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:11:54.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:11:54.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:11:54.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:11:54.019Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33000.139 ms) ====== [2026-01-11T01:11:54.019Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-11T01:11:54.361Z] GC before operation: completed in 174.964 ms, heap usage 205.674 MB -> 96.284 MB. [2026-01-11T01:11:59.524Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:12:04.509Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:12:09.526Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:12:14.446Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:12:17.530Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:12:19.929Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:12:23.104Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:12:26.167Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:12:26.167Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:12:26.167Z] The best model improves the baseline by 14.34%. [2026-01-11T01:12:26.639Z] Top recommended movies for user id 72: [2026-01-11T01:12:26.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:12:26.639Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:12:26.639Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:12:26.639Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:12:26.639Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:12:26.639Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (32453.887 ms) ====== [2026-01-11T01:12:26.639Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-11T01:12:26.639Z] GC before operation: completed in 157.762 ms, heap usage 233.661 MB -> 89.235 MB. [2026-01-11T01:12:31.581Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:12:36.574Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:12:43.210Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:12:48.265Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:12:51.488Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:12:54.590Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:12:57.707Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:13:00.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:13:01.034Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:13:01.034Z] The best model improves the baseline by 14.34%. [2026-01-11T01:13:01.034Z] Top recommended movies for user id 72: [2026-01-11T01:13:01.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:13:01.034Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:13:01.034Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:13:01.034Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:13:01.034Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:13:01.034Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (34303.988 ms) ====== [2026-01-11T01:13:01.034Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-11T01:13:01.034Z] GC before operation: completed in 148.371 ms, heap usage 222.207 MB -> 95.431 MB. [2026-01-11T01:13:05.961Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:13:10.881Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:13:15.839Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:13:20.746Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:13:23.856Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:13:26.278Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:13:29.402Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:13:32.487Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:13:32.487Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:13:32.487Z] The best model improves the baseline by 14.34%. [2026-01-11T01:13:32.986Z] Top recommended movies for user id 72: [2026-01-11T01:13:32.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:13:32.986Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:13:32.986Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:13:32.986Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:13:32.986Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:13:32.986Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (31739.003 ms) ====== [2026-01-11T01:13:32.986Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-11T01:13:32.986Z] GC before operation: completed in 147.078 ms, heap usage 116.933 MB -> 89.238 MB. [2026-01-11T01:13:37.860Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:13:42.785Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:13:47.782Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:13:52.707Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:13:55.792Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:13:58.207Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:14:01.338Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:14:03.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:14:04.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:14:04.727Z] The best model improves the baseline by 14.34%. [2026-01-11T01:14:04.727Z] Top recommended movies for user id 72: [2026-01-11T01:14:04.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:14:04.727Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:14:04.727Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:14:04.727Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:14:04.727Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:14:04.727Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31662.588 ms) ====== [2026-01-11T01:14:04.727Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-11T01:14:04.727Z] GC before operation: completed in 128.407 ms, heap usage 221.804 MB -> 89.235 MB. [2026-01-11T01:14:09.636Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:14:14.562Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:14:19.474Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:14:24.376Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:14:27.519Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:14:29.909Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:14:33.020Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:14:35.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:14:36.586Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:14:36.586Z] The best model improves the baseline by 14.34%. [2026-01-11T01:14:36.586Z] Top recommended movies for user id 72: [2026-01-11T01:14:36.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:14:36.586Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:14:36.586Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:14:36.586Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:14:36.586Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:14:36.586Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31701.848 ms) ====== [2026-01-11T01:14:36.586Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-11T01:14:36.586Z] GC before operation: completed in 148.734 ms, heap usage 403.818 MB -> 89.824 MB. [2026-01-11T01:14:42.649Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:14:46.579Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:14:51.529Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:14:56.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:14:59.504Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:15:02.846Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:15:05.226Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:15:08.316Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:15:08.959Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:15:08.959Z] The best model improves the baseline by 14.34%. [2026-01-11T01:15:08.959Z] Top recommended movies for user id 72: [2026-01-11T01:15:08.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:15:08.959Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:15:08.959Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:15:08.959Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:15:08.959Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:15:08.959Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (32235.563 ms) ====== [2026-01-11T01:15:08.959Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-11T01:15:08.959Z] GC before operation: completed in 143.764 ms, heap usage 195.006 MB -> 91.326 MB. [2026-01-11T01:15:13.994Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:15:19.199Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:15:24.269Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:15:29.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:15:32.820Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:15:35.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:15:39.174Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:15:42.520Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:15:42.969Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:15:42.969Z] The best model improves the baseline by 14.34%. [2026-01-11T01:15:42.969Z] Top recommended movies for user id 72: [2026-01-11T01:15:42.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:15:42.969Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:15:42.969Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:15:42.969Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:15:42.969Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:15:42.969Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (34120.323 ms) ====== [2026-01-11T01:15:42.969Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-11T01:15:43.503Z] GC before operation: completed in 143.703 ms, heap usage 202.487 MB -> 89.419 MB. [2026-01-11T01:15:48.445Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:15:55.087Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:16:00.178Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:16:05.236Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:16:08.568Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:16:11.897Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:16:15.215Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:16:18.483Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:16:18.484Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:16:18.484Z] The best model improves the baseline by 14.34%. [2026-01-11T01:16:18.484Z] Top recommended movies for user id 72: [2026-01-11T01:16:18.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:16:18.484Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:16:18.484Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:16:18.484Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:16:18.484Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:16:18.484Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35369.572 ms) ====== [2026-01-11T01:16:18.484Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-11T01:16:19.060Z] GC before operation: completed in 144.316 ms, heap usage 285.208 MB -> 89.660 MB. [2026-01-11T01:16:25.969Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:16:30.253Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:16:36.694Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:16:41.933Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:16:44.548Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:16:47.144Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:16:51.188Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:16:53.881Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:16:54.253Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:16:54.253Z] The best model improves the baseline by 14.34%. [2026-01-11T01:16:54.713Z] Top recommended movies for user id 72: [2026-01-11T01:16:54.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:16:54.713Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:16:54.713Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:16:54.713Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:16:54.713Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:16:54.713Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35804.693 ms) ====== [2026-01-11T01:16:54.713Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-11T01:16:54.713Z] GC before operation: completed in 123.493 ms, heap usage 289.315 MB -> 89.431 MB. [2026-01-11T01:17:01.330Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:17:06.857Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:17:11.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:17:17.115Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:17:20.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:17:22.938Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:17:27.034Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:17:29.470Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:17:29.841Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:17:29.841Z] The best model improves the baseline by 14.34%. [2026-01-11T01:17:30.349Z] Top recommended movies for user id 72: [2026-01-11T01:17:30.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:17:30.349Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:17:30.349Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:17:30.349Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:17:30.349Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:17:30.349Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (35541.710 ms) ====== [2026-01-11T01:17:30.349Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-11T01:17:30.349Z] GC before operation: completed in 121.546 ms, heap usage 291.386 MB -> 89.659 MB. [2026-01-11T01:17:35.508Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:17:40.410Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:17:45.444Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:17:50.325Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:17:53.381Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:17:56.470Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:17:58.887Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:18:02.007Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:18:02.008Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:18:02.008Z] The best model improves the baseline by 14.34%. [2026-01-11T01:18:02.507Z] Top recommended movies for user id 72: [2026-01-11T01:18:02.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:18:02.507Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:18:02.507Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:18:02.507Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:18:02.507Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:18:02.507Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31972.093 ms) ====== [2026-01-11T01:18:02.507Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-11T01:18:02.507Z] GC before operation: completed in 131.246 ms, heap usage 174.783 MB -> 89.372 MB. [2026-01-11T01:18:07.483Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:18:12.393Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:18:17.299Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:18:22.201Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:18:24.599Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:18:27.675Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:18:30.072Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:18:33.151Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:18:33.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:18:33.151Z] The best model improves the baseline by 14.34%. [2026-01-11T01:18:33.626Z] Top recommended movies for user id 72: [2026-01-11T01:18:33.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:18:33.626Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:18:33.626Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:18:33.626Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:18:33.627Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:18:33.627Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30988.602 ms) ====== [2026-01-11T01:18:33.627Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-11T01:18:33.627Z] GC before operation: completed in 128.894 ms, heap usage 571.133 MB -> 93.345 MB. [2026-01-11T01:18:38.499Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:18:43.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:18:48.382Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:18:53.310Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:18:55.693Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:18:58.858Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:19:01.454Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:19:04.561Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:19:05.234Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:19:05.234Z] The best model improves the baseline by 14.34%. [2026-01-11T01:19:05.234Z] Top recommended movies for user id 72: [2026-01-11T01:19:05.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:19:05.234Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:19:05.234Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:19:05.234Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:19:05.234Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:19:05.234Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (31489.970 ms) ====== [2026-01-11T01:19:05.234Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-11T01:19:05.604Z] GC before operation: completed in 123.820 ms, heap usage 227.427 MB -> 89.390 MB. [2026-01-11T01:19:10.530Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:19:15.432Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:19:19.384Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:19:24.313Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:19:27.394Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:19:29.746Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:19:32.814Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:19:35.211Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:19:35.585Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:19:36.133Z] The best model improves the baseline by 14.34%. [2026-01-11T01:19:36.133Z] Top recommended movies for user id 72: [2026-01-11T01:19:36.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:19:36.133Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:19:36.133Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:19:36.133Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:19:36.133Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:19:36.133Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30838.567 ms) ====== [2026-01-11T01:19:36.133Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-11T01:19:36.133Z] GC before operation: completed in 128.278 ms, heap usage 363.529 MB -> 89.756 MB. [2026-01-11T01:19:41.072Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:19:45.947Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:19:50.905Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:19:56.021Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:19:59.376Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:20:02.645Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:20:05.820Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:20:09.250Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:20:09.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-11T01:20:09.250Z] The best model improves the baseline by 14.34%. [2026-01-11T01:20:09.676Z] Top recommended movies for user id 72: [2026-01-11T01:20:09.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-11T01:20:09.676Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-11T01:20:09.676Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-11T01:20:09.676Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-11T01:20:09.676Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-11T01:20:09.676Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33452.397 ms) ====== [2026-01-11T01:20:10.045Z] 01:20:09.870 WARN [Thread-1] org.renaissance.core - Error deleting scratch directory C:\jenkins\workspace\Test_openjdk25_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17680916758975\renaissance-movie-lens_0\harness-010831-6015837495278711646: harness-010831-6015837495278711646\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process [2026-01-11T01:20:10.045Z] [2026-01-11T01:20:09.769+0000] org.renaissance.core (org.renaissance.core.DirUtils lambda$createScratchDirectory$1) [2026-01-11T01:20:10.045Z] WARNING: Error deleting scratch directory C:\jenkins\workspace\Test_openjdk25_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17680916758975\renaissance-movie-lens_0\harness-010831-6015837495278711646: harness-010831-6015837495278711646\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process [2026-01-11T01:20:10.420Z] ----------------------------------- [2026-01-11T01:20:10.420Z] renaissance-movie-lens_0_PASSED [2026-01-11T01:20:10.420Z] ----------------------------------- [2026-01-11T01:20:10.771Z] [2026-01-11T01:20:10.771Z] TEST TEARDOWN: [2026-01-11T01:20:10.771Z] Nothing to be done for teardown. [2026-01-11T01:20:10.771Z] renaissance-movie-lens_0 Finish Time: Sun Jan 11 01:20:10 2026 Epoch Time (ms): 1768094410532