[2026-02-08T19:49:51.722Z] Running test renaissance-movie-lens_0 ... [2026-02-08T19:49:51.722Z] =============================================== [2026-02-08T19:49:51.722Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 19:49:50 2026 Epoch Time (ms): 1770580190732 [2026-02-08T19:49:51.722Z] variation: NoOptions [2026-02-08T19:49:51.722Z] JVM_OPTIONS: [2026-02-08T19:49:51.722Z] { \ [2026-02-08T19:49:51.722Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T19:49:51.722Z] echo "Nothing to be done for setup."; \ [2026-02-08T19:49:51.722Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17705792628161/renaissance-movie-lens_0"; \ [2026-02-08T19:49:51.722Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17705792628161/renaissance-movie-lens_0"; \ [2026-02-08T19:49:51.722Z] echo ""; echo "TESTING:"; \ [2026-02-08T19:49:51.722Z] "/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_17705792628161/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-08T19:49:51.722Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17705792628161/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T19:49:51.722Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T19:49:51.722Z] echo "Nothing to be done for teardown."; \ [2026-02-08T19:49:51.722Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17705792628161/TestTargetResult"; [2026-02-08T19:49:51.722Z] [2026-02-08T19:49:51.722Z] TEST SETUP: [2026-02-08T19:49:51.722Z] Nothing to be done for setup. [2026-02-08T19:49:51.722Z] [2026-02-08T19:49:51.722Z] TESTING: [2026-02-08T19:49:51.722Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-08T19:49:51.722Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17705792628161/renaissance-movie-lens_0/launcher-194951-2216310095460892096/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-08T19:49:51.722Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-08T19:49:51.722Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-08T19:49:56.525Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-08T19:50:02.983Z] 19:50:02.552 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. [2026-02-08T19:50:05.034Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T19:50:05.681Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T19:50:05.681Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T19:50:06.303Z] GC before operation: completed in 259.681 ms, heap usage 299.574 MB -> 75.523 MB. [2026-02-08T19:50:13.502Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:50:18.262Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:50:21.941Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:50:24.783Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:50:26.849Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:50:28.864Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:50:30.917Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:50:32.933Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:50:32.933Z] 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. [2026-02-08T19:50:32.933Z] The best model improves the baseline by 14.34%. [2026-02-08T19:50:33.562Z] Top recommended movies for user id 72: [2026-02-08T19:50:33.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:50:33.562Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:50:33.562Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:50:33.562Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:50:33.562Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:50:33.562Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27098.929 ms) ====== [2026-02-08T19:50:33.562Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T19:50:33.562Z] GC before operation: completed in 236.662 ms, heap usage 199.210 MB -> 95.871 MB. [2026-02-08T19:50:36.377Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:50:39.175Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:50:42.829Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:50:45.602Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:50:46.919Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:50:48.991Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:50:50.682Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:50:52.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:50:52.723Z] 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. [2026-02-08T19:50:52.723Z] The best model improves the baseline by 14.34%. [2026-02-08T19:50:52.723Z] Top recommended movies for user id 72: [2026-02-08T19:50:52.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:50:52.723Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:50:52.723Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:50:52.723Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:50:52.723Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:50:52.723Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19481.084 ms) ====== [2026-02-08T19:50:52.723Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T19:50:53.393Z] GC before operation: completed in 217.116 ms, heap usage 149.179 MB -> 87.539 MB. [2026-02-08T19:50:56.243Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:50:59.112Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:51:02.913Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:51:05.793Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:51:07.146Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:51:09.255Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:51:11.312Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:51:13.407Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:51:13.407Z] 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. [2026-02-08T19:51:13.407Z] The best model improves the baseline by 14.34%. [2026-02-08T19:51:13.407Z] Top recommended movies for user id 72: [2026-02-08T19:51:13.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:51:13.407Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:51:13.407Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:51:13.407Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:51:13.407Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:51:13.407Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20368.446 ms) ====== [2026-02-08T19:51:13.407Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T19:51:14.048Z] GC before operation: completed in 247.908 ms, heap usage 308.537 MB -> 88.500 MB. [2026-02-08T19:51:16.893Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:51:19.770Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:51:23.620Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:51:25.689Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:51:27.693Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:51:28.995Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:51:31.085Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:51:32.407Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:51:33.026Z] 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. [2026-02-08T19:51:33.026Z] The best model improves the baseline by 14.34%. [2026-02-08T19:51:33.026Z] Top recommended movies for user id 72: [2026-02-08T19:51:33.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:51:33.026Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:51:33.026Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:51:33.026Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:51:33.026Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:51:33.026Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19146.766 ms) ====== [2026-02-08T19:51:33.027Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T19:51:33.027Z] GC before operation: completed in 215.395 ms, heap usage 255.104 MB -> 88.701 MB. [2026-02-08T19:51:35.915Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:51:38.811Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:51:42.133Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:51:44.785Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:51:46.856Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:51:48.151Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:51:50.284Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:51:51.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:51:52.264Z] 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. [2026-02-08T19:51:52.264Z] The best model improves the baseline by 14.34%. [2026-02-08T19:51:52.264Z] Top recommended movies for user id 72: [2026-02-08T19:51:52.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:51:52.264Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:51:52.264Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:51:52.264Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:51:52.264Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:51:52.264Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19118.958 ms) ====== [2026-02-08T19:51:52.264Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T19:51:52.264Z] GC before operation: completed in 191.802 ms, heap usage 175.598 MB -> 88.516 MB. [2026-02-08T19:51:56.094Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:51:59.006Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:52:01.899Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:52:04.783Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:52:06.115Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:52:07.420Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:52:09.476Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:52:10.782Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:52:11.498Z] 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. [2026-02-08T19:52:11.498Z] The best model improves the baseline by 14.34%. [2026-02-08T19:52:11.498Z] Top recommended movies for user id 72: [2026-02-08T19:52:11.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:52:11.498Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:52:11.498Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:52:11.498Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:52:11.498Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:52:11.498Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18925.413 ms) ====== [2026-02-08T19:52:11.498Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T19:52:11.498Z] GC before operation: completed in 214.078 ms, heap usage 232.452 MB -> 89.070 MB. [2026-02-08T19:52:15.312Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:52:18.159Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:52:21.024Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:52:23.048Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:52:25.174Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:52:27.231Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:52:28.901Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:52:30.213Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:52:30.213Z] 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. [2026-02-08T19:52:30.213Z] The best model improves the baseline by 14.34%. [2026-02-08T19:52:30.213Z] Top recommended movies for user id 72: [2026-02-08T19:52:30.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:52:30.213Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:52:30.213Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:52:30.213Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:52:30.213Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:52:30.213Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18741.799 ms) ====== [2026-02-08T19:52:30.213Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T19:52:30.874Z] GC before operation: completed in 206.846 ms, heap usage 252.177 MB -> 89.044 MB. [2026-02-08T19:52:33.702Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:52:35.694Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:52:38.638Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:52:41.526Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:52:42.864Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:52:44.175Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:52:46.249Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:52:47.572Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:52:48.187Z] 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. [2026-02-08T19:52:48.187Z] The best model improves the baseline by 14.34%. [2026-02-08T19:52:48.187Z] Top recommended movies for user id 72: [2026-02-08T19:52:48.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:52:48.187Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:52:48.187Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:52:48.187Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:52:48.187Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:52:48.187Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17679.417 ms) ====== [2026-02-08T19:52:48.187Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T19:52:48.187Z] GC before operation: completed in 190.556 ms, heap usage 216.623 MB -> 89.177 MB. [2026-02-08T19:52:52.013Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:52:54.924Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:52:57.823Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:53:00.784Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:53:03.002Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:53:04.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:53:06.373Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:53:07.661Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:53:08.298Z] 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. [2026-02-08T19:53:08.298Z] The best model improves the baseline by 14.34%. [2026-02-08T19:53:08.298Z] Top recommended movies for user id 72: [2026-02-08T19:53:08.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:53:08.298Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:53:08.298Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:53:08.298Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:53:08.298Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:53:08.298Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19694.390 ms) ====== [2026-02-08T19:53:08.298Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T19:53:08.298Z] GC before operation: completed in 199.918 ms, heap usage 177.098 MB -> 88.879 MB. [2026-02-08T19:53:11.148Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:53:14.019Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:53:16.066Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:53:18.657Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:53:20.719Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:53:22.012Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:53:24.065Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:53:25.349Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:53:25.349Z] 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. [2026-02-08T19:53:25.349Z] The best model improves the baseline by 14.34%. [2026-02-08T19:53:25.349Z] Top recommended movies for user id 72: [2026-02-08T19:53:25.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:53:25.349Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:53:25.349Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:53:25.349Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:53:25.349Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:53:25.349Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17263.500 ms) ====== [2026-02-08T19:53:25.349Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T19:53:25.979Z] GC before operation: completed in 185.965 ms, heap usage 302.520 MB -> 89.347 MB. [2026-02-08T19:53:28.968Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:53:30.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:53:33.794Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:53:35.856Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:53:37.908Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:53:39.192Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:53:40.487Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:53:41.793Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:53:42.408Z] 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. [2026-02-08T19:53:42.408Z] The best model improves the baseline by 14.34%. [2026-02-08T19:53:42.408Z] Top recommended movies for user id 72: [2026-02-08T19:53:42.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:53:42.408Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:53:42.408Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:53:42.408Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:53:42.408Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:53:42.408Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16662.411 ms) ====== [2026-02-08T19:53:42.408Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T19:53:42.408Z] GC before operation: completed in 193.317 ms, heap usage 205.856 MB -> 88.927 MB. [2026-02-08T19:53:45.263Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:53:48.111Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:53:50.985Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:53:52.995Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:53:54.261Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:53:56.305Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:53:57.603Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:53:59.661Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:53:59.661Z] 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. [2026-02-08T19:53:59.661Z] The best model improves the baseline by 14.34%. [2026-02-08T19:53:59.661Z] Top recommended movies for user id 72: [2026-02-08T19:53:59.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:53:59.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:53:59.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:53:59.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:53:59.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:53:59.661Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17111.188 ms) ====== [2026-02-08T19:53:59.661Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T19:54:00.301Z] GC before operation: completed in 230.665 ms, heap usage 355.389 MB -> 89.483 MB. [2026-02-08T19:54:02.363Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:54:05.663Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:54:07.659Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:54:09.694Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:54:11.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:54:12.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:54:14.231Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:54:16.238Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:54:16.238Z] 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. [2026-02-08T19:54:16.238Z] The best model improves the baseline by 14.34%. [2026-02-08T19:54:16.238Z] Top recommended movies for user id 72: [2026-02-08T19:54:16.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:54:16.238Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:54:16.238Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:54:16.238Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:54:16.238Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:54:16.238Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16460.223 ms) ====== [2026-02-08T19:54:16.238Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T19:54:16.850Z] GC before operation: completed in 185.919 ms, heap usage 221.353 MB -> 89.381 MB. [2026-02-08T19:54:19.638Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:54:21.631Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:54:24.564Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:54:26.600Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:54:28.598Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:54:29.878Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:54:31.168Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:54:32.501Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:54:33.109Z] 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. [2026-02-08T19:54:33.109Z] The best model improves the baseline by 14.34%. [2026-02-08T19:54:33.109Z] Top recommended movies for user id 72: [2026-02-08T19:54:33.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:54:33.109Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:54:33.109Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:54:33.109Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:54:33.109Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:54:33.109Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16515.601 ms) ====== [2026-02-08T19:54:33.109Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T19:54:33.759Z] GC before operation: completed in 224.435 ms, heap usage 176.147 MB -> 89.044 MB. [2026-02-08T19:54:35.831Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:54:38.658Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:54:41.503Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:54:43.512Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:54:45.532Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:54:46.812Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:54:48.812Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:54:50.121Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:54:50.121Z] 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. [2026-02-08T19:54:50.121Z] The best model improves the baseline by 14.34%. [2026-02-08T19:54:50.730Z] Top recommended movies for user id 72: [2026-02-08T19:54:50.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:54:50.730Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:54:50.730Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:54:50.730Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:54:50.730Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:54:50.730Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17058.277 ms) ====== [2026-02-08T19:54:50.730Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T19:54:50.730Z] GC before operation: completed in 187.671 ms, heap usage 197.924 MB -> 89.369 MB. [2026-02-08T19:54:53.202Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:54:56.055Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:54:58.913Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:55:00.930Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:55:02.217Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:55:04.277Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:55:05.610Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:55:07.645Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:55:07.645Z] 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. [2026-02-08T19:55:07.645Z] The best model improves the baseline by 14.34%. [2026-02-08T19:55:07.645Z] Top recommended movies for user id 72: [2026-02-08T19:55:07.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:55:07.645Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:55:07.645Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:55:07.645Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:55:07.645Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:55:07.645Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17097.862 ms) ====== [2026-02-08T19:55:07.645Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T19:55:07.645Z] GC before operation: completed in 162.520 ms, heap usage 219.752 MB -> 89.275 MB. [2026-02-08T19:55:10.438Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:55:13.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:55:16.124Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:55:18.189Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:55:19.502Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:55:21.558Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:55:22.842Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:55:24.123Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:55:24.123Z] 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. [2026-02-08T19:55:24.123Z] The best model improves the baseline by 14.34%. [2026-02-08T19:55:24.123Z] Top recommended movies for user id 72: [2026-02-08T19:55:24.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:55:24.123Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:55:24.123Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:55:24.123Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:55:24.123Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:55:24.123Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16443.834 ms) ====== [2026-02-08T19:55:24.123Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T19:55:24.729Z] GC before operation: completed in 160.114 ms, heap usage 257.989 MB -> 89.416 MB. [2026-02-08T19:55:26.744Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:55:29.581Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:55:32.433Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:55:34.477Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:55:35.783Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:55:37.116Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:55:39.549Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:55:40.167Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:55:40.780Z] 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. [2026-02-08T19:55:40.780Z] The best model improves the baseline by 14.34%. [2026-02-08T19:55:40.780Z] Top recommended movies for user id 72: [2026-02-08T19:55:40.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:55:40.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:55:40.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:55:40.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:55:40.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:55:40.780Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16303.714 ms) ====== [2026-02-08T19:55:40.780Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T19:55:40.780Z] GC before operation: completed in 182.005 ms, heap usage 242.773 MB -> 89.248 MB. [2026-02-08T19:55:43.576Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:55:45.694Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:55:48.488Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:55:50.518Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:55:52.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:55:53.850Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:55:55.852Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:55:57.158Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:55:57.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-08T19:55:57.158Z] The best model improves the baseline by 14.34%. [2026-02-08T19:55:57.158Z] Top recommended movies for user id 72: [2026-02-08T19:55:57.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:55:57.158Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:55:57.158Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:55:57.158Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:55:57.158Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:55:57.158Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16334.606 ms) ====== [2026-02-08T19:55:57.158Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T19:55:57.783Z] GC before operation: completed in 171.062 ms, heap usage 348.724 MB -> 89.559 MB. [2026-02-08T19:55:59.836Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T19:56:02.283Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T19:56:06.008Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T19:56:08.023Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T19:56:10.107Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T19:56:11.404Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T19:56:13.434Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T19:56:14.722Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T19:56:15.348Z] 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. [2026-02-08T19:56:15.348Z] The best model improves the baseline by 14.34%. [2026-02-08T19:56:15.348Z] Top recommended movies for user id 72: [2026-02-08T19:56:15.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-08T19:56:15.348Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-08T19:56:15.348Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-08T19:56:15.348Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-08T19:56:15.348Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-08T19:56:15.348Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17748.125 ms) ====== [2026-02-08T19:56:15.981Z] ----------------------------------- [2026-02-08T19:56:15.981Z] renaissance-movie-lens_0_PASSED [2026-02-08T19:56:15.981Z] ----------------------------------- [2026-02-08T19:56:15.981Z] [2026-02-08T19:56:15.981Z] TEST TEARDOWN: [2026-02-08T19:56:15.981Z] Nothing to be done for teardown. [2026-02-08T19:56:15.981Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 19:56:15 2026 Epoch Time (ms): 1770580575505