[2026-01-10T03:48:56.731Z] Running test renaissance-movie-lens_0 ... [2026-01-10T03:48:56.731Z] =============================================== [2026-01-10T03:48:56.731Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 03:48:56 2026 Epoch Time (ms): 1768016936096 [2026-01-10T03:48:56.731Z] variation: NoOptions [2026-01-10T03:48:56.731Z] JVM_OPTIONS: [2026-01-10T03:48:56.731Z] { \ [2026-01-10T03:48:56.731Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T03:48:56.731Z] echo "Nothing to be done for setup."; \ [2026-01-10T03:48:56.731Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680154808679/renaissance-movie-lens_0"; \ [2026-01-10T03:48:56.731Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680154808679/renaissance-movie-lens_0"; \ [2026-01-10T03:48:56.731Z] echo ""; echo "TESTING:"; \ [2026-01-10T03:48:56.731Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680154808679/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T03:48:56.731Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680154808679/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T03:48:56.731Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T03:48:56.731Z] echo "Nothing to be done for teardown."; \ [2026-01-10T03:48:56.731Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680154808679/TestTargetResult"; [2026-01-10T03:48:56.731Z] [2026-01-10T03:48:56.731Z] TEST SETUP: [2026-01-10T03:48:56.731Z] Nothing to be done for setup. [2026-01-10T03:48:56.731Z] [2026-01-10T03:48:56.731Z] TESTING: [2026-01-10T03:48:56.731Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T03:48:56.731Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17680154808679/renaissance-movie-lens_0/launcher-034856-8418241907878879913/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T03:48:56.731Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T03:48:56.731Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T03:49:02.170Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T03:49:08.904Z] 03:49:07.674 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T03:49:09.856Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T03:49:10.810Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T03:49:10.810Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T03:49:10.810Z] GC before operation: completed in 142.711 ms, heap usage 204.320 MB -> 75.939 MB. [2026-01-10T03:49:16.194Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:49:19.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:49:23.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:49:26.419Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:49:28.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:49:30.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:49:31.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:49:33.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:49:34.219Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:49:34.219Z] The best model improves the baseline by 14.52%. [2026-01-10T03:49:34.219Z] Top recommended movies for user id 72: [2026-01-10T03:49:34.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:49:34.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:49:34.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:49:34.219Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:49:34.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:49:34.219Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23219.741 ms) ====== [2026-01-10T03:49:34.219Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T03:49:34.219Z] GC before operation: completed in 156.151 ms, heap usage 397.257 MB -> 89.788 MB. [2026-01-10T03:49:37.242Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:49:39.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:49:42.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:49:45.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:49:46.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:49:48.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:49:50.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:49:52.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:49:52.272Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:49:52.272Z] The best model improves the baseline by 14.52%. [2026-01-10T03:49:52.272Z] Top recommended movies for user id 72: [2026-01-10T03:49:52.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:49:52.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:49:52.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:49:52.272Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:49:52.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:49:52.272Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18139.867 ms) ====== [2026-01-10T03:49:52.272Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T03:49:52.272Z] GC before operation: completed in 136.235 ms, heap usage 371.132 MB -> 88.811 MB. [2026-01-10T03:49:55.292Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:49:57.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:50:00.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:50:02.292Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:50:05.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:50:05.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:50:06.766Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:50:08.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:50:08.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:50:08.722Z] The best model improves the baseline by 14.52%. [2026-01-10T03:50:08.722Z] Top recommended movies for user id 72: [2026-01-10T03:50:08.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:50:08.722Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:50:08.722Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:50:08.722Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:50:08.722Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:50:08.722Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16363.157 ms) ====== [2026-01-10T03:50:08.722Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T03:50:08.722Z] GC before operation: completed in 130.844 ms, heap usage 282.503 MB -> 89.378 MB. [2026-01-10T03:50:11.771Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:50:13.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:50:16.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:50:18.743Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:50:19.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:50:21.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:50:22.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:50:24.578Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:50:24.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:50:24.578Z] The best model improves the baseline by 14.52%. [2026-01-10T03:50:24.578Z] Top recommended movies for user id 72: [2026-01-10T03:50:24.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:50:24.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:50:24.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:50:24.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:50:24.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:50:24.578Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15971.321 ms) ====== [2026-01-10T03:50:24.578Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T03:50:25.531Z] GC before operation: completed in 148.593 ms, heap usage 281.815 MB -> 89.691 MB. [2026-01-10T03:50:27.486Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:50:29.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:50:32.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:50:34.421Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:50:35.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:50:37.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:50:38.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:50:40.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:50:40.248Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:50:40.248Z] The best model improves the baseline by 14.52%. [2026-01-10T03:50:40.248Z] Top recommended movies for user id 72: [2026-01-10T03:50:40.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:50:40.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:50:40.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:50:40.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:50:40.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:50:40.248Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15281.418 ms) ====== [2026-01-10T03:50:40.248Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T03:50:40.248Z] GC before operation: completed in 170.213 ms, heap usage 490.812 MB -> 89.877 MB. [2026-01-10T03:50:43.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:50:45.233Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:50:47.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:50:49.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:50:51.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:50:52.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:50:54.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:50:56.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:50:56.132Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:50:56.132Z] The best model improves the baseline by 14.52%. [2026-01-10T03:50:56.132Z] Top recommended movies for user id 72: [2026-01-10T03:50:56.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:50:56.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:50:56.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:50:56.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:50:56.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:50:56.132Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15532.192 ms) ====== [2026-01-10T03:50:56.132Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T03:50:56.132Z] GC before operation: completed in 133.753 ms, heap usage 499.413 MB -> 90.218 MB. [2026-01-10T03:50:58.088Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:51:01.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:51:03.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:51:07.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:51:07.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:51:09.156Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:51:10.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:51:12.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:51:12.114Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:51:12.114Z] The best model improves the baseline by 14.52%. [2026-01-10T03:51:12.114Z] Top recommended movies for user id 72: [2026-01-10T03:51:12.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:51:12.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:51:12.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:51:12.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:51:12.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:51:12.114Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15947.313 ms) ====== [2026-01-10T03:51:12.114Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T03:51:12.114Z] GC before operation: completed in 129.562 ms, heap usage 149.129 MB -> 89.661 MB. [2026-01-10T03:51:15.130Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:51:17.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:51:20.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:51:22.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:51:23.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:51:24.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:51:25.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:51:27.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:51:27.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:51:27.906Z] The best model improves the baseline by 14.52%. [2026-01-10T03:51:27.906Z] Top recommended movies for user id 72: [2026-01-10T03:51:27.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:51:27.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:51:27.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:51:27.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:51:27.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:51:27.906Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15684.146 ms) ====== [2026-01-10T03:51:27.906Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T03:51:27.906Z] GC before operation: completed in 149.044 ms, heap usage 390.132 MB -> 90.286 MB. [2026-01-10T03:51:30.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:51:32.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:51:34.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:51:37.935Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:51:38.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:51:40.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:51:41.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:51:43.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:51:43.777Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:51:43.777Z] The best model improves the baseline by 14.52%. [2026-01-10T03:51:43.777Z] Top recommended movies for user id 72: [2026-01-10T03:51:43.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:51:43.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:51:43.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:51:43.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:51:43.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:51:43.778Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15742.731 ms) ====== [2026-01-10T03:51:43.778Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T03:51:43.778Z] GC before operation: completed in 134.087 ms, heap usage 115.477 MB -> 89.707 MB. [2026-01-10T03:51:46.799Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:51:48.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:51:50.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:51:53.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:51:54.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:51:55.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:51:57.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:51:58.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:51:59.517Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:51:59.517Z] The best model improves the baseline by 14.52%. [2026-01-10T03:51:59.517Z] Top recommended movies for user id 72: [2026-01-10T03:51:59.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:51:59.517Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:51:59.517Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:51:59.517Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:51:59.517Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:51:59.517Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15221.004 ms) ====== [2026-01-10T03:51:59.517Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T03:51:59.517Z] GC before operation: completed in 136.818 ms, heap usage 452.063 MB -> 90.352 MB. [2026-01-10T03:52:01.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:52:03.443Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:52:06.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:52:08.582Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:52:09.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:52:10.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:52:12.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:52:13.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:52:13.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:52:13.407Z] The best model improves the baseline by 14.52%. [2026-01-10T03:52:13.407Z] Top recommended movies for user id 72: [2026-01-10T03:52:13.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:52:13.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:52:13.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:52:13.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:52:13.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:52:13.407Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14311.471 ms) ====== [2026-01-10T03:52:13.407Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T03:52:14.361Z] GC before operation: completed in 192.277 ms, heap usage 442.722 MB -> 90.053 MB. [2026-01-10T03:52:16.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:52:18.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:52:21.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:52:23.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:52:24.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:52:26.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:52:27.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:52:29.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:52:29.088Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:52:29.088Z] The best model improves the baseline by 14.52%. [2026-01-10T03:52:29.088Z] Top recommended movies for user id 72: [2026-01-10T03:52:29.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:52:29.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:52:29.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:52:29.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:52:29.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:52:29.088Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15528.909 ms) ====== [2026-01-10T03:52:29.088Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T03:52:29.088Z] GC before operation: completed in 131.040 ms, heap usage 224.328 MB -> 90.035 MB. [2026-01-10T03:52:32.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:52:34.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:52:37.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:52:39.091Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:52:40.054Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:52:42.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:52:42.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:52:44.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:52:44.916Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:52:44.916Z] The best model improves the baseline by 14.52%. [2026-01-10T03:52:44.916Z] Top recommended movies for user id 72: [2026-01-10T03:52:44.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:52:44.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:52:44.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:52:44.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:52:44.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:52:44.916Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15551.538 ms) ====== [2026-01-10T03:52:44.916Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T03:52:44.916Z] GC before operation: completed in 119.753 ms, heap usage 373.925 MB -> 90.299 MB. [2026-01-10T03:52:47.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:52:49.922Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:52:51.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:52:53.853Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:52:55.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:52:56.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:52:57.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:52:59.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:52:59.816Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:52:59.816Z] The best model improves the baseline by 14.52%. [2026-01-10T03:52:59.816Z] Top recommended movies for user id 72: [2026-01-10T03:52:59.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:52:59.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:52:59.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:52:59.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:52:59.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:52:59.816Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14788.690 ms) ====== [2026-01-10T03:52:59.816Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T03:52:59.816Z] GC before operation: completed in 144.998 ms, heap usage 368.158 MB -> 90.221 MB. [2026-01-10T03:53:02.872Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:53:04.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:53:06.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:53:09.137Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:53:11.091Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:53:12.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:53:14.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:53:14.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:53:15.907Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:53:15.907Z] The best model improves the baseline by 14.52%. [2026-01-10T03:53:15.907Z] Top recommended movies for user id 72: [2026-01-10T03:53:15.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:53:15.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:53:15.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:53:15.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:53:15.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:53:15.907Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15683.324 ms) ====== [2026-01-10T03:53:15.907Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T03:53:15.907Z] GC before operation: completed in 182.952 ms, heap usage 370.281 MB -> 90.441 MB. [2026-01-10T03:53:17.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:53:20.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:53:22.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:53:24.789Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:53:25.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:53:26.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:53:28.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:53:29.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:53:29.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:53:29.604Z] The best model improves the baseline by 14.52%. [2026-01-10T03:53:30.555Z] Top recommended movies for user id 72: [2026-01-10T03:53:30.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:53:30.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:53:30.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:53:30.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:53:30.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:53:30.555Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14121.095 ms) ====== [2026-01-10T03:53:30.555Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T03:53:30.555Z] GC before operation: completed in 151.058 ms, heap usage 497.689 MB -> 90.429 MB. [2026-01-10T03:53:32.508Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:53:34.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:53:37.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:53:38.431Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:53:40.390Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:53:41.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:53:43.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:53:44.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:53:44.255Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:53:44.255Z] The best model improves the baseline by 14.52%. [2026-01-10T03:53:45.235Z] Top recommended movies for user id 72: [2026-01-10T03:53:45.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:53:45.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:53:45.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:53:45.235Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:53:45.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:53:45.235Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14496.978 ms) ====== [2026-01-10T03:53:45.235Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T03:53:45.235Z] GC before operation: completed in 145.274 ms, heap usage 296.966 MB -> 90.208 MB. [2026-01-10T03:53:47.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:53:49.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:53:52.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:53:54.109Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:53:55.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:53:57.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:53:58.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:54:00.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:54:00.050Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:54:00.050Z] The best model improves the baseline by 14.52%. [2026-01-10T03:54:00.050Z] Top recommended movies for user id 72: [2026-01-10T03:54:00.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:54:00.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:54:00.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:54:00.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:54:00.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:54:00.050Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15362.305 ms) ====== [2026-01-10T03:54:00.050Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T03:54:00.050Z] GC before operation: completed in 138.645 ms, heap usage 370.470 MB -> 90.210 MB. [2026-01-10T03:54:03.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:54:05.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:54:06.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:54:10.001Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:54:10.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:54:11.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:54:13.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:54:14.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:54:15.771Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:54:15.771Z] The best model improves the baseline by 14.52%. [2026-01-10T03:54:15.771Z] Top recommended movies for user id 72: [2026-01-10T03:54:15.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:54:15.771Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:54:15.771Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:54:15.771Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:54:15.771Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:54:15.771Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15091.213 ms) ====== [2026-01-10T03:54:15.771Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T03:54:15.771Z] GC before operation: completed in 148.239 ms, heap usage 401.091 MB -> 90.257 MB. [2026-01-10T03:54:17.723Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T03:54:19.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T03:54:21.630Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T03:54:23.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T03:54:25.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T03:54:26.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T03:54:27.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T03:54:29.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T03:54:29.434Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T03:54:29.434Z] The best model improves the baseline by 14.52%. [2026-01-10T03:54:29.434Z] Top recommended movies for user id 72: [2026-01-10T03:54:29.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T03:54:29.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T03:54:29.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T03:54:29.434Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T03:54:29.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T03:54:29.434Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13729.254 ms) ====== [2026-01-10T03:54:29.434Z] ----------------------------------- [2026-01-10T03:54:29.434Z] renaissance-movie-lens_0_PASSED [2026-01-10T03:54:29.434Z] ----------------------------------- [2026-01-10T03:54:30.384Z] [2026-01-10T03:54:30.384Z] TEST TEARDOWN: [2026-01-10T03:54:30.384Z] Nothing to be done for teardown. [2026-01-10T03:54:30.384Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 03:54:29 2026 Epoch Time (ms): 1768017269376