[2026-03-18T02:03:17.334Z] Running test renaissance-movie-lens_0 ... [2026-03-18T02:03:17.334Z] =============================================== [2026-03-18T02:03:17.334Z] renaissance-movie-lens_0 Start Time: Wed Mar 18 02:03:17 2026 Epoch Time (ms): 1773799397131 [2026-03-18T02:03:17.334Z] variation: NoOptions [2026-03-18T02:03:17.334Z] JVM_OPTIONS: [2026-03-18T02:03:17.334Z] { \ [2026-03-18T02:03:17.334Z] echo ""; echo "TEST SETUP:"; \ [2026-03-18T02:03:17.334Z] echo "Nothing to be done for setup."; \ [2026-03-18T02:03:17.334Z] mkdir -p "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17737964191694/renaissance-movie-lens_0"; \ [2026-03-18T02:03:17.334Z] cd "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17737964191694/renaissance-movie-lens_0"; \ [2026-03-18T02:03:17.334Z] echo ""; echo "TESTING:"; \ [2026-03-18T02:03:17.334Z] "/home/jenkins/workspace/Test_openjdk26_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_openjdk26_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17737964191694/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-18T02:03:17.334Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk26_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17737964191694/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-18T02:03:17.334Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-18T02:03:17.334Z] echo "Nothing to be done for teardown."; \ [2026-03-18T02:03:17.334Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17737964191694/TestTargetResult"; [2026-03-18T02:03:17.334Z] [2026-03-18T02:03:17.334Z] TEST SETUP: [2026-03-18T02:03:17.334Z] Nothing to be done for setup. [2026-03-18T02:03:17.334Z] [2026-03-18T02:03:17.334Z] TESTING: [2026-03-18T02:03:20.387Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-18T02:03:20.387Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-18T02:03:20.387Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-18T02:03:20.387Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-18T02:03:54.024Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-18T02:04:27.649Z] 02:04:26.092 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-18T02:04:36.765Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-18T02:04:39.153Z] Training: 60056, validation: 20285, test: 19854 [2026-03-18T02:04:39.153Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-18T02:04:39.501Z] GC before operation: completed in 638.067 ms, heap usage 249.964 MB -> 77.131 MB. [2026-03-18T02:05:07.492Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:05:20.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:05:34.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:05:45.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:05:51.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:05:57.482Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:06:03.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:06:09.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:06:10.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:06:10.362Z] The best model improves the baseline by 14.52%. [2026-03-18T02:06:11.573Z] Top recommended movies for user id 72: [2026-03-18T02:06:11.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:06:11.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:06:11.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:06:11.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:06:11.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:06:11.573Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91896.283 ms) ====== [2026-03-18T02:06:11.573Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-18T02:06:12.358Z] GC before operation: completed in 1062.551 ms, heap usage 226.865 MB -> 89.447 MB. [2026-03-18T02:06:23.362Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:06:32.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:06:43.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:06:50.938Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:06:56.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:07:01.874Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:07:07.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:07:12.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:07:13.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:07:13.927Z] The best model improves the baseline by 14.52%. [2026-03-18T02:07:14.686Z] Top recommended movies for user id 72: [2026-03-18T02:07:14.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:07:14.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:07:14.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:07:14.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:07:14.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:07:14.686Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (62025.669 ms) ====== [2026-03-18T02:07:14.686Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-18T02:07:15.443Z] GC before operation: completed in 1079.263 ms, heap usage 538.395 MB -> 90.149 MB. [2026-03-18T02:07:26.510Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:07:35.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:07:43.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:07:52.275Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:07:57.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:08:02.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:08:07.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:08:12.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:08:12.357Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:08:12.698Z] The best model improves the baseline by 14.52%. [2026-03-18T02:08:13.444Z] Top recommended movies for user id 72: [2026-03-18T02:08:13.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:08:13.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:08:13.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:08:13.444Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:08:13.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:08:13.444Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57701.344 ms) ====== [2026-03-18T02:08:13.444Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-18T02:08:14.195Z] GC before operation: completed in 1010.985 ms, heap usage 715.625 MB -> 94.294 MB. [2026-03-18T02:08:23.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:08:30.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:08:38.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:08:47.233Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:08:52.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:08:57.165Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:09:02.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:09:06.921Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:09:07.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:09:07.265Z] The best model improves the baseline by 14.52%. [2026-03-18T02:09:08.004Z] Top recommended movies for user id 72: [2026-03-18T02:09:08.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:09:08.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:09:08.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:09:08.004Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:09:08.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:09:08.004Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (53718.067 ms) ====== [2026-03-18T02:09:08.004Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-18T02:09:08.766Z] GC before operation: completed in 946.388 ms, heap usage 312.496 MB -> 90.850 MB. [2026-03-18T02:09:17.856Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:09:27.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:09:34.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:09:43.575Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:09:48.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:09:53.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:09:58.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:10:03.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:10:04.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:10:04.010Z] The best model improves the baseline by 14.52%. [2026-03-18T02:10:04.750Z] Top recommended movies for user id 72: [2026-03-18T02:10:04.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:10:04.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:10:04.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:10:04.750Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:10:04.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:10:04.750Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (55797.114 ms) ====== [2026-03-18T02:10:04.750Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-18T02:10:05.960Z] GC before operation: completed in 951.042 ms, heap usage 240.490 MB -> 90.723 MB. [2026-03-18T02:10:15.049Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:10:22.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:10:29.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:10:37.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:10:41.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:10:46.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:10:51.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:10:56.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:10:56.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:10:56.385Z] The best model improves the baseline by 14.52%. [2026-03-18T02:10:56.728Z] Top recommended movies for user id 72: [2026-03-18T02:10:56.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:10:56.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:10:56.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:10:56.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:10:56.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:10:56.728Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51202.671 ms) ====== [2026-03-18T02:10:56.728Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-18T02:10:57.933Z] GC before operation: completed in 968.401 ms, heap usage 326.469 MB -> 91.180 MB. [2026-03-18T02:11:06.993Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:11:13.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:11:20.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:11:29.796Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:11:34.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:11:38.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:11:43.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:11:48.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:11:49.108Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:11:49.469Z] The best model improves the baseline by 14.52%. [2026-03-18T02:11:50.233Z] Top recommended movies for user id 72: [2026-03-18T02:11:50.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:11:50.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:11:50.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:11:50.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:11:50.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:11:50.233Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52146.512 ms) ====== [2026-03-18T02:11:50.233Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-18T02:11:50.996Z] GC before operation: completed in 920.882 ms, heap usage 238.521 MB -> 90.995 MB. [2026-03-18T02:12:00.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:12:06.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:12:13.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:12:21.163Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:12:26.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:12:29.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:12:34.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:12:39.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:12:39.833Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:12:40.177Z] The best model improves the baseline by 14.52%. [2026-03-18T02:12:40.521Z] Top recommended movies for user id 72: [2026-03-18T02:12:40.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:12:40.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:12:40.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:12:40.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:12:40.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:12:40.521Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (49713.545 ms) ====== [2026-03-18T02:12:40.521Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-18T02:12:41.750Z] GC before operation: completed in 962.707 ms, heap usage 333.614 MB -> 91.349 MB. [2026-03-18T02:12:49.165Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:12:56.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:13:04.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:13:11.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:13:15.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:13:20.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:13:25.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:13:30.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:13:30.168Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:13:30.168Z] The best model improves the baseline by 14.52%. [2026-03-18T02:13:30.911Z] Top recommended movies for user id 72: [2026-03-18T02:13:30.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:13:30.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:13:30.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:13:30.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:13:30.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:13:30.912Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (49442.741 ms) ====== [2026-03-18T02:13:30.912Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-18T02:13:32.140Z] GC before operation: completed in 936.089 ms, heap usage 221.783 MB -> 91.006 MB. [2026-03-18T02:13:39.573Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:13:47.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:13:54.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:14:02.025Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:14:06.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:14:10.763Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:14:15.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:14:20.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:14:20.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:14:20.955Z] The best model improves the baseline by 14.52%. [2026-03-18T02:14:21.696Z] Top recommended movies for user id 72: [2026-03-18T02:14:21.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:14:21.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:14:21.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:14:21.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:14:21.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:14:21.696Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (49627.879 ms) ====== [2026-03-18T02:14:21.696Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-18T02:14:22.454Z] GC before operation: completed in 942.970 ms, heap usage 228.938 MB -> 91.255 MB. [2026-03-18T02:14:31.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:14:37.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:14:44.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:14:52.404Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:14:57.410Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:15:01.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:15:06.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:15:11.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:15:11.409Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:15:11.754Z] The best model improves the baseline by 14.52%. [2026-03-18T02:15:12.108Z] Top recommended movies for user id 72: [2026-03-18T02:15:12.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:15:12.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:15:12.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:15:12.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:15:12.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:15:12.108Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49716.078 ms) ====== [2026-03-18T02:15:12.108Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-18T02:15:13.339Z] GC before operation: completed in 926.925 ms, heap usage 222.537 MB -> 90.936 MB. [2026-03-18T02:15:20.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:15:28.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:15:35.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:15:43.274Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:15:47.165Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:15:52.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:15:55.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:16:00.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:16:01.188Z] 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. [2026-03-18T02:16:01.532Z] The best model improves the baseline by 14.52%. [2026-03-18T02:16:01.876Z] Top recommended movies for user id 72: [2026-03-18T02:16:01.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:16:01.876Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:16:01.876Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:16:01.876Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:16:01.876Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:16:01.876Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48752.471 ms) ====== [2026-03-18T02:16:01.876Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-18T02:16:02.619Z] GC before operation: completed in 785.909 ms, heap usage 312.865 MB -> 91.382 MB. [2026-03-18T02:16:10.143Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:16:17.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:16:25.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:16:32.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:16:36.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:16:42.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:16:46.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:16:51.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:16:52.087Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:16:52.087Z] The best model improves the baseline by 14.52%. [2026-03-18T02:16:52.451Z] Top recommended movies for user id 72: [2026-03-18T02:16:52.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:16:52.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:16:52.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:16:52.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:16:52.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:16:52.451Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (49825.267 ms) ====== [2026-03-18T02:16:52.451Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-18T02:16:53.210Z] GC before operation: completed in 727.288 ms, heap usage 717.088 MB -> 95.152 MB. [2026-03-18T02:17:02.286Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:17:08.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:17:15.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:17:23.227Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:17:28.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:17:32.976Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:17:36.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:17:41.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:17:42.092Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:17:42.092Z] The best model improves the baseline by 14.52%. [2026-03-18T02:17:42.846Z] Top recommended movies for user id 72: [2026-03-18T02:17:42.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:17:42.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:17:42.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:17:42.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:17:42.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:17:42.846Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49418.347 ms) ====== [2026-03-18T02:17:42.846Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-18T02:17:43.595Z] GC before operation: completed in 712.803 ms, heap usage 561.770 MB -> 94.808 MB. [2026-03-18T02:17:52.646Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:17:58.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:18:06.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:18:13.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:18:17.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:18:21.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:18:26.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:18:31.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:18:31.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:18:31.130Z] The best model improves the baseline by 14.52%. [2026-03-18T02:18:31.865Z] Top recommended movies for user id 72: [2026-03-18T02:18:31.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:18:31.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:18:31.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:18:31.865Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:18:31.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:18:31.865Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48415.994 ms) ====== [2026-03-18T02:18:31.865Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-18T02:18:32.621Z] GC before operation: completed in 713.614 ms, heap usage 718.343 MB -> 95.250 MB. [2026-03-18T02:18:40.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:18:47.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:18:55.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:19:02.482Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:19:06.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:19:11.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:19:16.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:19:21.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:19:21.513Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:19:21.856Z] The best model improves the baseline by 14.52%. [2026-03-18T02:19:22.200Z] Top recommended movies for user id 72: [2026-03-18T02:19:22.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:19:22.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:19:22.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:19:22.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:19:22.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:19:22.200Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (49747.152 ms) ====== [2026-03-18T02:19:22.200Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-18T02:19:22.954Z] GC before operation: completed in 717.866 ms, heap usage 376.158 MB -> 91.486 MB. [2026-03-18T02:19:32.021Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:19:38.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:19:45.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:19:53.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:19:57.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:20:01.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:20:05.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:20:10.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:20:11.183Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:20:11.183Z] The best model improves the baseline by 14.52%. [2026-03-18T02:20:11.936Z] Top recommended movies for user id 72: [2026-03-18T02:20:11.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:20:11.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:20:11.936Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:20:11.936Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:20:11.936Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:20:11.936Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48782.006 ms) ====== [2026-03-18T02:20:11.936Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-18T02:20:12.690Z] GC before operation: completed in 661.980 ms, heap usage 395.418 MB -> 91.580 MB. [2026-03-18T02:20:20.111Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:20:27.678Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:20:35.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:20:42.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:20:47.397Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:20:52.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:20:56.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:21:01.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:21:01.492Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:21:01.835Z] The best model improves the baseline by 14.52%. [2026-03-18T02:21:02.178Z] Top recommended movies for user id 72: [2026-03-18T02:21:02.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:21:02.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:21:02.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:21:02.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:21:02.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:21:02.178Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49761.141 ms) ====== [2026-03-18T02:21:02.178Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-18T02:21:02.925Z] GC before operation: completed in 665.839 ms, heap usage 337.097 MB -> 91.265 MB. [2026-03-18T02:21:10.353Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:21:17.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:21:25.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:21:32.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:21:36.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:21:40.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:21:45.624Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:21:50.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:21:50.490Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:21:50.490Z] The best model improves the baseline by 14.52%. [2026-03-18T02:21:51.231Z] Top recommended movies for user id 72: [2026-03-18T02:21:51.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:21:51.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:21:51.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:21:51.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:21:51.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:21:51.231Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48276.759 ms) ====== [2026-03-18T02:21:51.231Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-18T02:21:51.988Z] GC before operation: completed in 699.469 ms, heap usage 810.363 MB -> 95.270 MB. [2026-03-18T02:22:01.056Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T02:22:07.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T02:22:14.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T02:22:22.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T02:22:25.960Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T02:22:29.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T02:22:34.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T02:22:38.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T02:22:39.403Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T02:22:39.752Z] The best model improves the baseline by 14.52%. [2026-03-18T02:22:40.097Z] Top recommended movies for user id 72: [2026-03-18T02:22:40.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T02:22:40.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T02:22:40.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T02:22:40.097Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T02:22:40.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T02:22:40.097Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48339.074 ms) ====== [2026-03-18T02:22:46.161Z] ----------------------------------- [2026-03-18T02:22:46.161Z] renaissance-movie-lens_0_PASSED [2026-03-18T02:22:46.161Z] ----------------------------------- [2026-03-18T02:22:46.161Z] [2026-03-18T02:22:46.161Z] TEST TEARDOWN: [2026-03-18T02:22:46.161Z] Nothing to be done for teardown. [2026-03-18T02:22:46.161Z] renaissance-movie-lens_0 Finish Time: Wed Mar 18 02:22:45 2026 Epoch Time (ms): 1773800565372