[2026-01-17T13:18:17.172Z] Running test renaissance-movie-lens_0 ... [2026-01-17T13:18:17.172Z] =============================================== [2026-01-17T13:18:17.172Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 13:18:16 2026 Epoch Time (ms): 1768655896723 [2026-01-17T13:18:17.172Z] variation: NoOptions [2026-01-17T13:18:17.172Z] JVM_OPTIONS: [2026-01-17T13:18:17.172Z] { \ [2026-01-17T13:18:17.172Z] echo ""; echo "TEST SETUP:"; \ [2026-01-17T13:18:17.172Z] echo "Nothing to be done for setup."; \ [2026-01-17T13:18:17.172Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686548171846/renaissance-movie-lens_0"; \ [2026-01-17T13:18:17.172Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686548171846/renaissance-movie-lens_0"; \ [2026-01-17T13:18:17.172Z] echo ""; echo "TESTING:"; \ [2026-01-17T13:18:17.172Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686548171846/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-17T13:18:17.172Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686548171846/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-17T13:18:17.172Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-17T13:18:17.172Z] echo "Nothing to be done for teardown."; \ [2026-01-17T13:18:17.172Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686548171846/TestTargetResult"; [2026-01-17T13:18:17.172Z] [2026-01-17T13:18:17.172Z] TEST SETUP: [2026-01-17T13:18:17.172Z] Nothing to be done for setup. [2026-01-17T13:18:17.172Z] [2026-01-17T13:18:17.172Z] TESTING: [2026-01-17T13:18:17.791Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-17T13:18:17.791Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17686548171846/renaissance-movie-lens_0/launcher-131817-1444875646307453249/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-17T13:18:17.791Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-17T13:18:17.791Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-17T13:18:22.570Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-17T13:18:27.379Z] 13:18:27.053 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-17T13:18:30.334Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-17T13:18:30.334Z] Training: 60056, validation: 20285, test: 19854 [2026-01-17T13:18:31.023Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-17T13:18:31.023Z] GC before operation: completed in 177.359 ms, heap usage 207.580 MB -> 75.675 MB. [2026-01-17T13:18:37.019Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:18:40.796Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:18:44.966Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:18:47.814Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:18:49.856Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:18:51.925Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:18:53.257Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:18:55.321Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:18:55.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:18:55.321Z] The best model improves the baseline by 14.34%. [2026-01-17T13:18:55.943Z] Top recommended movies for user id 72: [2026-01-17T13:18:55.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:18:55.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:18:55.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:18:55.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:18:55.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:18:55.943Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24962.194 ms) ====== [2026-01-17T13:18:55.943Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-17T13:18:55.943Z] GC before operation: completed in 235.457 ms, heap usage 163.102 MB -> 96.708 MB. [2026-01-17T13:18:58.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:19:02.583Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:19:04.646Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:19:07.487Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:19:08.807Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:19:10.856Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:19:12.188Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:19:14.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:19:14.222Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:19:14.222Z] The best model improves the baseline by 14.34%. [2026-01-17T13:19:14.222Z] Top recommended movies for user id 72: [2026-01-17T13:19:14.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:19:14.222Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:19:14.222Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:19:14.222Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:19:14.222Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:19:14.222Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18288.097 ms) ====== [2026-01-17T13:19:14.222Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-17T13:19:14.844Z] GC before operation: completed in 211.222 ms, heap usage 358.341 MB -> 88.048 MB. [2026-01-17T13:19:17.284Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:19:20.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:19:23.023Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:19:25.066Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:19:26.361Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:19:27.707Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:19:29.729Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:19:31.064Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:19:31.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:19:31.064Z] The best model improves the baseline by 14.34%. [2026-01-17T13:19:31.688Z] Top recommended movies for user id 72: [2026-01-17T13:19:31.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:19:31.688Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:19:31.688Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:19:31.688Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:19:31.688Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:19:31.688Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16932.198 ms) ====== [2026-01-17T13:19:31.688Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-17T13:19:31.688Z] GC before operation: completed in 186.941 ms, heap usage 210.316 MB -> 88.426 MB. [2026-01-17T13:19:34.552Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:19:37.401Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:19:39.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:19:42.405Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:19:43.698Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:19:45.049Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:19:47.145Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:19:49.278Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:19:49.278Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:19:49.278Z] The best model improves the baseline by 14.34%. [2026-01-17T13:19:49.278Z] Top recommended movies for user id 72: [2026-01-17T13:19:49.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:19:49.278Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:19:49.278Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:19:49.278Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:19:49.278Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:19:49.278Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17724.556 ms) ====== [2026-01-17T13:19:49.278Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-17T13:19:49.278Z] GC before operation: completed in 185.202 ms, heap usage 441.740 MB -> 92.269 MB. [2026-01-17T13:19:52.578Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:19:56.386Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:19:59.258Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:20:02.143Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:20:03.461Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:20:04.762Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:20:06.818Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:20:08.871Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:20:08.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:20:08.871Z] The best model improves the baseline by 14.34%. [2026-01-17T13:20:08.871Z] Top recommended movies for user id 72: [2026-01-17T13:20:08.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:20:08.871Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:20:08.871Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:20:08.871Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:20:08.871Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:20:08.871Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19604.776 ms) ====== [2026-01-17T13:20:08.871Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-17T13:20:09.505Z] GC before operation: completed in 170.139 ms, heap usage 465.517 MB -> 92.267 MB. [2026-01-17T13:20:12.415Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:20:15.283Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:20:18.130Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:20:21.110Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:20:22.421Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:20:24.488Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:20:26.240Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:20:27.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:20:28.274Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:20:28.274Z] The best model improves the baseline by 14.34%. [2026-01-17T13:20:28.274Z] Top recommended movies for user id 72: [2026-01-17T13:20:28.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:20:28.274Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:20:28.274Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:20:28.274Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:20:28.274Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:20:28.274Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19028.089 ms) ====== [2026-01-17T13:20:28.274Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-17T13:20:28.274Z] GC before operation: completed in 200.587 ms, heap usage 437.306 MB -> 92.652 MB. [2026-01-17T13:20:31.154Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:20:34.996Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:20:37.904Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:20:39.970Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:20:42.013Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:20:44.070Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:20:46.182Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:20:47.488Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:20:48.140Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:20:48.140Z] The best model improves the baseline by 14.34%. [2026-01-17T13:20:48.140Z] Top recommended movies for user id 72: [2026-01-17T13:20:48.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:20:48.140Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:20:48.140Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:20:48.140Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:20:48.140Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:20:48.140Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19671.153 ms) ====== [2026-01-17T13:20:48.140Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-17T13:20:48.765Z] GC before operation: completed in 219.236 ms, heap usage 347.326 MB -> 89.302 MB. [2026-01-17T13:20:51.632Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:20:53.666Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:20:57.438Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:20:59.840Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:21:01.136Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:21:02.450Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:21:04.482Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:21:05.771Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:21:06.393Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:21:06.393Z] The best model improves the baseline by 14.34%. [2026-01-17T13:21:06.393Z] Top recommended movies for user id 72: [2026-01-17T13:21:06.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:21:06.393Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:21:06.393Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:21:06.393Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:21:06.393Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:21:06.393Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17830.311 ms) ====== [2026-01-17T13:21:06.393Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-17T13:21:06.393Z] GC before operation: completed in 149.969 ms, heap usage 174.050 MB -> 89.183 MB. [2026-01-17T13:21:09.237Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:21:12.116Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:21:14.991Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:21:17.016Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:21:19.088Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:21:20.389Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:21:21.695Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:21:22.997Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:21:23.641Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:21:23.641Z] The best model improves the baseline by 14.34%. [2026-01-17T13:21:23.641Z] Top recommended movies for user id 72: [2026-01-17T13:21:23.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:21:23.641Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:21:23.641Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:21:23.641Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:21:23.641Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:21:23.641Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17153.458 ms) ====== [2026-01-17T13:21:23.641Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-17T13:21:23.641Z] GC before operation: completed in 167.093 ms, heap usage 162.190 MB -> 89.057 MB. [2026-01-17T13:21:26.465Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:21:28.508Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:21:31.367Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:21:33.891Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:21:35.184Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:21:36.505Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:21:37.835Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:21:39.138Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:21:39.755Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:21:39.755Z] The best model improves the baseline by 14.34%. [2026-01-17T13:21:39.755Z] Top recommended movies for user id 72: [2026-01-17T13:21:39.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:21:39.755Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:21:39.755Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:21:39.755Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:21:39.755Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:21:39.755Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16024.410 ms) ====== [2026-01-17T13:21:39.755Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-17T13:21:39.755Z] GC before operation: completed in 182.868 ms, heap usage 175.248 MB -> 89.176 MB. [2026-01-17T13:21:42.595Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:21:44.746Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:21:47.621Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:21:49.688Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:21:51.750Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:21:53.095Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:21:54.442Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:21:56.491Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:21:56.491Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:21:56.491Z] The best model improves the baseline by 14.34%. [2026-01-17T13:21:56.491Z] Top recommended movies for user id 72: [2026-01-17T13:21:56.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:21:56.491Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:21:56.491Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:21:56.491Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:21:56.491Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:21:56.491Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16732.813 ms) ====== [2026-01-17T13:21:56.491Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-17T13:21:57.112Z] GC before operation: completed in 206.635 ms, heap usage 304.137 MB -> 89.277 MB. [2026-01-17T13:21:59.190Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:22:02.040Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:22:04.117Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:22:07.084Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:22:08.423Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:22:09.754Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:22:11.801Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:22:13.174Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:22:13.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:22:13.174Z] The best model improves the baseline by 14.34%. [2026-01-17T13:22:13.174Z] Top recommended movies for user id 72: [2026-01-17T13:22:13.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:22:13.174Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:22:13.174Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:22:13.174Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:22:13.174Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:22:13.174Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16292.178 ms) ====== [2026-01-17T13:22:13.174Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-17T13:22:13.174Z] GC before operation: completed in 157.389 ms, heap usage 164.355 MB -> 89.251 MB. [2026-01-17T13:22:16.154Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:22:18.180Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:22:21.048Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:22:23.077Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:22:25.165Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:22:26.463Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:22:27.814Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:22:29.927Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:22:29.927Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:22:29.927Z] The best model improves the baseline by 14.34%. [2026-01-17T13:22:30.585Z] Top recommended movies for user id 72: [2026-01-17T13:22:30.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:22:30.585Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:22:30.585Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:22:30.585Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:22:30.585Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:22:30.585Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16970.321 ms) ====== [2026-01-17T13:22:30.585Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-17T13:22:30.585Z] GC before operation: completed in 173.679 ms, heap usage 226.449 MB -> 89.418 MB. [2026-01-17T13:22:33.474Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:22:36.386Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:22:40.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:22:42.731Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:22:44.133Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:22:46.250Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:22:47.631Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:22:49.786Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:22:49.786Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:22:49.786Z] The best model improves the baseline by 14.34%. [2026-01-17T13:22:50.437Z] Top recommended movies for user id 72: [2026-01-17T13:22:50.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:22:50.437Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:22:50.437Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:22:50.437Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:22:50.437Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:22:50.437Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19727.996 ms) ====== [2026-01-17T13:22:50.437Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-17T13:22:50.437Z] GC before operation: completed in 196.941 ms, heap usage 230.147 MB -> 89.204 MB. [2026-01-17T13:22:53.329Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:22:56.294Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:22:59.286Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:23:01.511Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:23:03.586Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:23:04.936Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:23:07.099Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:23:08.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:23:08.439Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:23:08.439Z] The best model improves the baseline by 14.34%. [2026-01-17T13:23:09.084Z] Top recommended movies for user id 72: [2026-01-17T13:23:09.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:23:09.084Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:23:09.084Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:23:09.084Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:23:09.084Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:23:09.084Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18398.646 ms) ====== [2026-01-17T13:23:09.084Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-17T13:23:09.084Z] GC before operation: completed in 190.924 ms, heap usage 222.879 MB -> 89.498 MB. [2026-01-17T13:23:12.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:23:14.487Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:23:17.426Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:23:20.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:23:21.757Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:23:23.076Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:23:25.186Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:23:26.545Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:23:27.204Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:23:27.204Z] The best model improves the baseline by 14.34%. [2026-01-17T13:23:27.204Z] Top recommended movies for user id 72: [2026-01-17T13:23:27.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:23:27.204Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:23:27.204Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:23:27.204Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:23:27.204Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:23:27.204Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18113.199 ms) ====== [2026-01-17T13:23:27.204Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-17T13:23:27.204Z] GC before operation: completed in 200.720 ms, heap usage 249.053 MB -> 89.433 MB. [2026-01-17T13:23:30.154Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:23:32.232Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:23:35.157Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:23:37.217Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:23:39.298Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:23:40.644Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:23:42.008Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:23:43.362Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:23:43.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:23:43.362Z] The best model improves the baseline by 14.34%. [2026-01-17T13:23:44.009Z] Top recommended movies for user id 72: [2026-01-17T13:23:44.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:23:44.009Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:23:44.009Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:23:44.009Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:23:44.009Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:23:44.009Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16450.628 ms) ====== [2026-01-17T13:23:44.009Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-17T13:23:44.009Z] GC before operation: completed in 155.266 ms, heap usage 198.566 MB -> 89.279 MB. [2026-01-17T13:23:46.874Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:23:49.368Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:23:52.294Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:23:54.424Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:23:55.739Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:23:57.828Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:23:59.953Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:24:01.315Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:24:01.315Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:24:01.315Z] The best model improves the baseline by 14.34%. [2026-01-17T13:24:01.999Z] Top recommended movies for user id 72: [2026-01-17T13:24:01.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:24:01.999Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:24:01.999Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:24:01.999Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:24:01.999Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:24:01.999Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17817.322 ms) ====== [2026-01-17T13:24:01.999Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-17T13:24:01.999Z] GC before operation: completed in 220.171 ms, heap usage 191.355 MB -> 89.079 MB. [2026-01-17T13:24:04.952Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:24:07.916Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:24:10.845Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:24:13.802Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:24:15.138Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:24:16.474Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:24:18.581Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:24:19.931Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:24:20.566Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:24:20.566Z] The best model improves the baseline by 14.34%. [2026-01-17T13:24:20.567Z] Top recommended movies for user id 72: [2026-01-17T13:24:20.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:24:20.567Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:24:20.567Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:24:20.567Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:24:20.567Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:24:20.567Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18656.382 ms) ====== [2026-01-17T13:24:20.567Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-17T13:24:20.567Z] GC before operation: completed in 171.208 ms, heap usage 229.727 MB -> 89.288 MB. [2026-01-17T13:24:23.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:24:26.875Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:24:29.825Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:24:31.895Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:24:33.243Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:24:34.553Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:24:35.864Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:24:37.168Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:24:37.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:24:37.796Z] The best model improves the baseline by 14.34%. [2026-01-17T13:24:37.796Z] Top recommended movies for user id 72: [2026-01-17T13:24:37.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:24:37.796Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:24:37.796Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:24:37.796Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:24:37.796Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:24:37.796Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16824.762 ms) ====== [2026-01-17T13:24:38.425Z] ----------------------------------- [2026-01-17T13:24:38.425Z] renaissance-movie-lens_0_PASSED [2026-01-17T13:24:38.425Z] ----------------------------------- [2026-01-17T13:24:38.425Z] [2026-01-17T13:24:38.425Z] TEST TEARDOWN: [2026-01-17T13:24:38.425Z] Nothing to be done for teardown. [2026-01-17T13:24:38.425Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 13:24:37 2026 Epoch Time (ms): 1768656277759