[2026-01-24T20:36:29.349Z] Running test renaissance-movie-lens_0 ... [2026-01-24T20:36:29.349Z] =============================================== [2026-01-24T20:36:29.349Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 20:36:26 2026 Epoch Time (ms): 1769286986303 [2026-01-24T20:36:29.349Z] variation: NoOptions [2026-01-24T20:36:29.349Z] JVM_OPTIONS: [2026-01-24T20:36:29.349Z] { \ [2026-01-24T20:36:29.349Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T20:36:29.349Z] echo "Nothing to be done for setup."; \ [2026-01-24T20:36:29.349Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17692840725759/renaissance-movie-lens_0"; \ [2026-01-24T20:36:29.349Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17692840725759/renaissance-movie-lens_0"; \ [2026-01-24T20:36:29.349Z] echo ""; echo "TESTING:"; \ [2026-01-24T20:36:29.349Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/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/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17692840725759/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T20:36:29.349Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17692840725759/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T20:36:29.349Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T20:36:29.349Z] echo "Nothing to be done for teardown."; \ [2026-01-24T20:36:29.349Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17692840725759/TestTargetResult"; [2026-01-24T20:36:29.349Z] [2026-01-24T20:36:29.349Z] TEST SETUP: [2026-01-24T20:36:29.349Z] Nothing to be done for setup. [2026-01-24T20:36:29.349Z] [2026-01-24T20:36:29.349Z] TESTING: [2026-01-24T20:36:29.349Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T20:36:29.349Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/output_17692840725759/renaissance-movie-lens_0/launcher-203627-7109637801602159214/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T20:36:29.349Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T20:36:29.349Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T20:36:52.763Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T20:37:20.783Z] 20:37:20.099 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. [2026-01-24T20:37:29.892Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T20:37:32.252Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T20:37:32.252Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T20:37:33.016Z] GC before operation: completed in 595.639 ms, heap usage 243.840 MB -> 76.130 MB. [2026-01-24T20:38:01.138Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:38:12.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:38:25.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:38:36.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:38:44.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:38:50.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:38:56.442Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:39:02.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:39:03.727Z] 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. [2026-01-24T20:39:04.073Z] The best model improves the baseline by 14.52%. [2026-01-24T20:39:04.816Z] Top recommended movies for user id 72: [2026-01-24T20:39:04.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:39:04.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:39:04.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:39:04.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:39:04.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:39:04.816Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91928.383 ms) ====== [2026-01-24T20:39:04.816Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T20:39:06.053Z] GC before operation: completed in 1028.669 ms, heap usage 276.568 MB -> 90.820 MB. [2026-01-24T20:39:17.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:39:28.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:39:37.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:39:46.532Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:39:51.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:39:57.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:40:03.624Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:40:09.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:40:10.047Z] 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. [2026-01-24T20:40:10.393Z] The best model improves the baseline by 14.52%. [2026-01-24T20:40:11.144Z] Top recommended movies for user id 72: [2026-01-24T20:40:11.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:40:11.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:40:11.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:40:11.144Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:40:11.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:40:11.144Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64986.368 ms) ====== [2026-01-24T20:40:11.144Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T20:40:11.898Z] GC before operation: completed in 876.081 ms, heap usage 122.681 MB -> 88.708 MB. [2026-01-24T20:40:22.939Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:40:32.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:40:41.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:40:50.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:40:56.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:41:01.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:41:07.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:41:13.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:41:13.524Z] 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. [2026-01-24T20:41:13.872Z] The best model improves the baseline by 14.52%. [2026-01-24T20:41:14.613Z] Top recommended movies for user id 72: [2026-01-24T20:41:14.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:41:14.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:41:14.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:41:14.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:41:14.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:41:14.613Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62734.215 ms) ====== [2026-01-24T20:41:14.613Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T20:41:15.387Z] GC before operation: completed in 853.189 ms, heap usage 298.832 MB -> 89.966 MB. [2026-01-24T20:41:24.463Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:41:33.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:41:41.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:41:48.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:41:54.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:42:00.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:42:05.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:42:10.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:42:11.144Z] 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. [2026-01-24T20:42:11.491Z] The best model improves the baseline by 14.52%. [2026-01-24T20:42:11.837Z] Top recommended movies for user id 72: [2026-01-24T20:42:11.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:42:11.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:42:11.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:42:11.837Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:42:11.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:42:11.837Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56523.745 ms) ====== [2026-01-24T20:42:11.837Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T20:42:13.073Z] GC before operation: completed in 970.506 ms, heap usage 417.077 MB -> 126.594 MB. [2026-01-24T20:42:22.226Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:42:31.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:42:40.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:42:47.880Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:42:52.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:42:57.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:43:02.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:43:08.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:43:08.897Z] 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. [2026-01-24T20:43:08.897Z] The best model improves the baseline by 14.52%. [2026-01-24T20:43:09.637Z] Top recommended movies for user id 72: [2026-01-24T20:43:09.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:43:09.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:43:09.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:43:09.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:43:09.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:43:09.638Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (56788.303 ms) ====== [2026-01-24T20:43:09.638Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T20:43:10.873Z] GC before operation: completed in 990.803 ms, heap usage 271.946 MB -> 185.695 MB. [2026-01-24T20:43:19.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:43:29.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:43:36.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:43:43.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:43:47.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:43:52.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:43:57.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:44:02.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:44:03.286Z] 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. [2026-01-24T20:44:03.286Z] The best model improves the baseline by 14.52%. [2026-01-24T20:44:04.024Z] Top recommended movies for user id 72: [2026-01-24T20:44:04.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:44:04.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:44:04.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:44:04.024Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:44:04.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:44:04.024Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (53254.040 ms) ====== [2026-01-24T20:44:04.024Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T20:44:05.227Z] GC before operation: completed in 1019.326 ms, heap usage 974.363 MB -> 245.147 MB. [2026-01-24T20:44:14.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:44:22.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:44:29.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:44:37.190Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:44:42.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:44:46.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:44:50.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:44:55.821Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:44:56.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T20:44:56.174Z] The best model improves the baseline by 14.52%. [2026-01-24T20:44:56.915Z] Top recommended movies for user id 72: [2026-01-24T20:44:56.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:44:56.915Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:44:56.915Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:44:56.915Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:44:56.915Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:44:56.915Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51910.998 ms) ====== [2026-01-24T20:44:56.915Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T20:44:58.135Z] GC before operation: completed in 994.053 ms, heap usage 430.979 MB -> 304.321 MB. [2026-01-24T20:45:07.266Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:45:14.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:45:22.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:45:29.569Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:45:34.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:45:39.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:45:44.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:45:50.332Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:45:50.332Z] 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. [2026-01-24T20:45:50.332Z] The best model improves the baseline by 14.52%. [2026-01-24T20:45:51.078Z] Top recommended movies for user id 72: [2026-01-24T20:45:51.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:45:51.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:45:51.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:45:51.078Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:45:51.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:45:51.078Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (53126.117 ms) ====== [2026-01-24T20:45:51.078Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T20:45:52.277Z] GC before operation: completed in 1028.528 ms, heap usage 1.223 GB -> 364.146 MB. [2026-01-24T20:46:01.354Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:46:08.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:46:16.240Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:46:23.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:46:28.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:46:33.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:46:38.547Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:46:43.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:46:44.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T20:46:44.535Z] The best model improves the baseline by 14.52%. [2026-01-24T20:46:44.883Z] Top recommended movies for user id 72: [2026-01-24T20:46:44.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:46:44.883Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:46:44.883Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:46:44.883Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:46:44.883Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:46:44.883Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52935.460 ms) ====== [2026-01-24T20:46:44.883Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T20:46:46.140Z] GC before operation: completed in 1084.786 ms, heap usage 1.543 GB -> 423.343 MB. [2026-01-24T20:46:55.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:47:02.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:47:10.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:47:19.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:47:22.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:47:27.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:47:32.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:47:37.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:47:38.390Z] 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. [2026-01-24T20:47:38.390Z] The best model improves the baseline by 14.52%. [2026-01-24T20:47:38.738Z] Top recommended movies for user id 72: [2026-01-24T20:47:38.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:47:38.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:47:38.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:47:38.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:47:38.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:47:38.738Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (52684.408 ms) ====== [2026-01-24T20:47:38.738Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T20:47:39.973Z] GC before operation: completed in 1097.685 ms, heap usage 1.047 GB -> 483.828 MB. [2026-01-24T20:47:47.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:47:58.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:48:05.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:48:15.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:48:19.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:48:23.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:48:28.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:48:33.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:48:34.463Z] 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. [2026-01-24T20:48:34.809Z] The best model improves the baseline by 14.52%. [2026-01-24T20:48:35.155Z] Top recommended movies for user id 72: [2026-01-24T20:48:35.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:48:35.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:48:35.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:48:35.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:48:35.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:48:35.155Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55378.946 ms) ====== [2026-01-24T20:48:35.155Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T20:48:36.379Z] GC before operation: completed in 1124.557 ms, heap usage 1.358 GB -> 543.019 MB. [2026-01-24T20:48:43.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:48:51.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:49:00.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:49:07.983Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:49:11.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:49:16.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:49:21.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:49:26.667Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:49:27.411Z] 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. [2026-01-24T20:49:27.411Z] The best model improves the baseline by 14.52%. [2026-01-24T20:49:28.152Z] Top recommended movies for user id 72: [2026-01-24T20:49:28.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:49:28.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:49:28.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:49:28.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:49:28.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:49:28.152Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51585.344 ms) ====== [2026-01-24T20:49:28.152Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T20:49:29.378Z] GC before operation: completed in 1149.302 ms, heap usage 1.104 GB -> 602.149 MB. [2026-01-24T20:49:36.845Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:49:45.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:49:53.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:50:00.939Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:50:05.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:50:10.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:50:16.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:50:20.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:50:21.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T20:50:21.880Z] The best model improves the baseline by 14.52%. [2026-01-24T20:50:22.623Z] Top recommended movies for user id 72: [2026-01-24T20:50:22.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:50:22.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:50:22.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:50:22.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:50:22.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:50:22.623Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53638.985 ms) ====== [2026-01-24T20:50:22.623Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T20:50:23.851Z] GC before operation: completed in 1181.509 ms, heap usage 784.398 MB -> 661.923 MB. [2026-01-24T20:50:33.025Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:50:40.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:50:47.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:50:55.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:51:00.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:51:05.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:51:10.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:51:15.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:51:15.580Z] 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. [2026-01-24T20:51:15.580Z] The best model improves the baseline by 14.52%. [2026-01-24T20:51:16.322Z] Top recommended movies for user id 72: [2026-01-24T20:51:16.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:51:16.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:51:16.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:51:16.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:51:16.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:51:16.322Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (52336.370 ms) ====== [2026-01-24T20:51:16.322Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T20:51:17.559Z] GC before operation: completed in 1219.328 ms, heap usage 1.258 GB -> 720.407 MB. [2026-01-24T20:51:25.006Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:51:34.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:51:41.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:51:49.222Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:51:53.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:51:58.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:52:02.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:52:07.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:52:08.556Z] 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. [2026-01-24T20:52:08.901Z] The best model improves the baseline by 14.52%. [2026-01-24T20:52:09.249Z] Top recommended movies for user id 72: [2026-01-24T20:52:09.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:52:09.249Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:52:09.249Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:52:09.249Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:52:09.249Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:52:09.249Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51910.152 ms) ====== [2026-01-24T20:52:09.249Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T20:52:10.986Z] GC before operation: completed in 1279.053 ms, heap usage 2.026 GB -> 780.053 MB. [2026-01-24T20:52:18.585Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:52:27.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:52:33.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:52:42.867Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:52:46.780Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:52:51.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:52:57.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:53:01.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:53:02.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T20:53:02.506Z] The best model improves the baseline by 14.52%. [2026-01-24T20:53:02.878Z] Top recommended movies for user id 72: [2026-01-24T20:53:02.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:53:02.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:53:02.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:53:02.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:53:02.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:53:02.878Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52298.623 ms) ====== [2026-01-24T20:53:02.878Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T20:53:04.605Z] GC before operation: completed in 1326.427 ms, heap usage 2.530 GB -> 838.464 MB. [2026-01-24T20:53:12.080Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:53:21.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:53:28.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:53:36.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:53:40.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:53:44.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:53:49.864Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:53:54.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:53:54.763Z] 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. [2026-01-24T20:53:55.115Z] The best model improves the baseline by 14.52%. [2026-01-24T20:53:56.337Z] Top recommended movies for user id 72: [2026-01-24T20:53:56.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:53:56.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:53:56.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:53:56.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:53:56.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:53:56.337Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51886.032 ms) ====== [2026-01-24T20:53:56.337Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T20:53:58.729Z] GC before operation: completed in 2306.843 ms, heap usage 2.180 GB -> 899.913 MB. [2026-01-24T20:54:07.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:54:15.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:54:22.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:54:30.371Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:54:35.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:54:40.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:54:45.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:54:49.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:54:51.182Z] 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. [2026-01-24T20:54:51.182Z] The best model improves the baseline by 14.52%. [2026-01-24T20:54:51.925Z] Top recommended movies for user id 72: [2026-01-24T20:54:51.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:54:51.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:54:51.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:54:51.925Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:54:51.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:54:51.925Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (53340.937 ms) ====== [2026-01-24T20:54:51.925Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T20:54:53.150Z] GC before operation: completed in 1448.766 ms, heap usage 1.861 GB -> 958.892 MB. [2026-01-24T20:55:02.224Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:55:09.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:55:17.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:55:24.721Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:55:29.613Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:55:34.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:55:39.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:55:44.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:55:44.621Z] 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. [2026-01-24T20:55:44.621Z] The best model improves the baseline by 14.52%. [2026-01-24T20:55:45.363Z] Top recommended movies for user id 72: [2026-01-24T20:55:45.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:55:45.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:55:45.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:55:45.363Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:55:45.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:55:45.363Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51952.682 ms) ====== [2026-01-24T20:55:45.363Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T20:55:46.566Z] GC before operation: completed in 1469.337 ms, heap usage 1.891 GB -> 1021.821 MB. [2026-01-24T20:55:55.645Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T20:56:01.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T20:56:10.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T20:56:16.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T20:56:21.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T20:56:26.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T20:56:31.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T20:56:36.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T20:56:36.874Z] 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. [2026-01-24T20:56:36.874Z] The best model improves the baseline by 14.52%. [2026-01-24T20:56:37.633Z] Top recommended movies for user id 72: [2026-01-24T20:56:37.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T20:56:37.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T20:56:37.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T20:56:37.633Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T20:56:37.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T20:56:37.633Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50823.018 ms) ====== [2026-01-25T20:41:31.321Z] Cancelling nested steps due to timeout [2026-01-25T20:41:31.361Z] Sending interrupt signal to process [2026-01-25T20:41:46.124Z] Terminated [2026-01-25T20:41:46.124Z] Terminated [2026-01-25T20:41:46.124Z] make[5]: *** [autoGen.mk:214: renaissance-movie-lens_0] Error 143 [2026-01-25T20:41:46.124Z] make[5]: Leaving directory '/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/perf/renaissance' [2026-01-25T20:41:46.124Z] make[4]: *** [/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/settings.mk:362: testList-renaissance] Error 2 [2026-01-25T20:41:46.124Z] make[4]: Leaving directory '/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/perf' [2026-01-25T20:41:46.124Z] make[3]: *** [/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/settings.mk:362: testList-perf] Error 2 [2026-01-25T20:41:46.124Z] make[3]: Leaving directory '/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests' [2026-01-25T20:41:46.124Z] make[2]: *** [settings.mk:362: testList-..] Error 2 [2026-01-25T20:41:46.124Z] make[2]: Leaving directory '/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG' [2026-01-25T20:41:46.124Z] make[1]: *** [makefile:62: _testList] Error 2 [2026-01-25T20:41:46.124Z] make[1]: Leaving directory '/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG' [2026-01-25T20:41:46.124Z] make: *** [parallelList.mk:11: testList_1] Error 2 [2026-01-25T20:41:46.228Z] script returned exit code 2 [Pipeline] sh [2026-01-25T20:41:46.876Z] + uname [2026-01-25T20:41:46.876Z] + [ Linux = AIX ] [2026-01-25T20:41:46.876Z] + uname [2026-01-25T20:41:46.876Z] + [ Linux = SunOS ] [2026-01-25T20:41:46.876Z] + uname [2026-01-25T20:41:46.876Z] + [ Linux = *BSD ] [2026-01-25T20:41:46.876Z] + MAKE=make [2026-01-25T20:41:46.876Z] + make -f ./aqa-tests/TKG/testEnv.mk testEnvTeardown [2026-01-25T20:41:46.876Z] make: Nothing to be done for 'testEnvTeardown'. [Pipeline] } [2026-01-25T20:41:46.992Z] $ ssh-agent -k [2026-01-25T20:41:47.016Z] unset SSH_AUTH_SOCK; [2026-01-25T20:41:47.017Z] unset SSH_AGENT_PID; [2026-01-25T20:41:47.017Z] echo Agent pid 98041 killed; [2026-01-25T20:41:47.175Z] [ssh-agent] Stopped. [Pipeline] // sshagent [Pipeline] } [2026-01-25T20:41:47.201Z] Xvfb stopping [Pipeline] // wrap [Pipeline] echo [2026-01-25T20:41:47.423Z] no DaCapo-h2 metric found [Pipeline] echo [2026-01-25T20:41:47.442Z] Could not find test result, set build result to FAILURE. [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Post) [Pipeline] echo [2026-01-25T20:41:47.506Z] Saving aqa-tests/testenv/testenv.properties file on jenkins. [Pipeline] archiveArtifacts [2026-01-25T20:41:47.544Z] Archiving artifacts [2026-01-25T20:41:47.648Z] Recording fingerprints [Pipeline] echo [2026-01-25T20:41:47.705Z] Saving aqa-tests/TKG/**/*.tap file on jenkins. [Pipeline] archiveArtifacts [2026-01-25T20:41:47.738Z] Archiving artifacts [2026-01-25T20:41:48.922Z] No artifacts found that match the file pattern "aqa-tests/TKG/**/*.tap". Configuration error? [Pipeline] sh [2026-01-25T20:41:49.591Z] + tar -cf benchmark_test_output.tar.gz ./aqa-tests/TKG/output_17692840725759 [Pipeline] echo [2026-01-25T20:41:52.759Z] ARTIFACTORY_SERVER is not set. Saving artifacts on jenkins. [Pipeline] archiveArtifacts [2026-01-25T20:41:52.792Z] Archiving artifacts [2026-01-25T20:42:31.325Z] Body did not finish within grace period; terminating with extreme prejudice [Pipeline] } [Pipeline] // stage [Pipeline] echo [2026-01-25T20:42:31.361Z] PROCESSCATCH: Terminating any hung/left over test processes: [Pipeline] sh [2026-01-25T20:42:31.891Z] + aqa-tests/terminateTestProcesses.sh jenkins [2026-01-25T20:42:31.891Z] Unix type machine.. [2026-01-25T20:42:31.891Z] Running on a Linux host [2026-01-25T20:42:31.891Z] Woohoo - no rogue processes detected! [Pipeline] retry [Pipeline] { [Pipeline] cleanWs [2026-01-25T20:42:32.052Z] [WS-CLEANUP] Deleting project workspace... [2026-01-25T20:42:32.052Z] [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [2026-01-25T20:42:43.150Z] [WS-CLEANUP] done [Pipeline] } [Pipeline] // retry [Pipeline] sh [2026-01-25T20:42:43.695Z] + find /tmp -name *core* -print -exec rm -f {} ; [2026-01-25T20:42:44.091Z] + true [Pipeline] } [Pipeline] // timeout [Pipeline] echo [2026-01-25T20:42:44.207Z] Exception: org.jenkinsci.plugins.workflow.steps.FlowInterruptedException: Timeout has been exceeded [Pipeline] timeout [2026-01-25T20:42:44.214Z] Timeout set to expire in 5 min 0 sec [Pipeline] { [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // timestamps [Pipeline] End of Pipeline Finished: ABORTED