[2026-02-19T23:52:36.707Z] Running test renaissance-movie-lens_0 ... [2026-02-19T23:52:36.707Z] =============================================== [2026-02-19T23:52:36.707Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 23:52:35 2026 Epoch Time (ms): 1771545155422 [2026-02-19T23:52:36.707Z] variation: NoOptions [2026-02-19T23:52:36.707Z] JVM_OPTIONS: [2026-02-19T23:52:36.707Z] { \ [2026-02-19T23:52:36.707Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T23:52:36.707Z] echo "Nothing to be done for setup."; \ [2026-02-19T23:52:36.707Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1771543712750/renaissance-movie-lens_0"; \ [2026-02-19T23:52:36.707Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1771543712750/renaissance-movie-lens_0"; \ [2026-02-19T23:52:36.707Z] echo ""; echo "TESTING:"; \ [2026-02-19T23:52:36.707Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1771543712750/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T23:52:36.707Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1771543712750/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T23:52:36.707Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T23:52:36.707Z] echo "Nothing to be done for teardown."; \ [2026-02-19T23:52:36.707Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1771543712750/TestTargetResult"; [2026-02-19T23:52:36.707Z] [2026-02-19T23:52:36.707Z] TEST SETUP: [2026-02-19T23:52:36.707Z] Nothing to be done for setup. [2026-02-19T23:52:36.707Z] [2026-02-19T23:52:36.707Z] TESTING: [2026-02-19T23:52:36.707Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-19T23:52:36.707Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_1771543712750/renaissance-movie-lens_0/launcher-235235-2430316917579154427/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-19T23:52:36.707Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-19T23:52:36.707Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-19T23:52:44.927Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-19T23:52:54.729Z] 23:52:54.417 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-19T23:52:57.787Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T23:52:58.754Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T23:52:58.754Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T23:52:58.754Z] GC before operation: completed in 178.512 ms, heap usage 459.579 MB -> 76.110 MB. [2026-02-19T23:53:08.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:53:13.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:53:18.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:53:22.826Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:53:24.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:53:27.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:53:29.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:53:32.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:53:32.864Z] 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. [2026-02-19T23:53:32.864Z] The best model improves the baseline by 14.52%. [2026-02-19T23:53:32.864Z] Top recommended movies for user id 72: [2026-02-19T23:53:32.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:53:32.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:53:32.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:53:32.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:53:32.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:53:32.864Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34086.555 ms) ====== [2026-02-19T23:53:32.864Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T23:53:33.822Z] GC before operation: completed in 179.442 ms, heap usage 308.737 MB -> 90.511 MB. [2026-02-19T23:53:38.185Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:53:41.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:53:45.403Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:53:49.646Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:53:51.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:53:53.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:53:55.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:53:58.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:53:58.655Z] 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. [2026-02-19T23:53:58.655Z] The best model improves the baseline by 14.52%. [2026-02-19T23:53:58.655Z] Top recommended movies for user id 72: [2026-02-19T23:53:58.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:53:58.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:53:58.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:53:58.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:53:58.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:53:58.655Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25240.855 ms) ====== [2026-02-19T23:53:58.655Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T23:53:58.655Z] GC before operation: completed in 161.261 ms, heap usage 306.079 MB -> 88.869 MB. [2026-02-19T23:54:02.838Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:54:05.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:54:10.065Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:54:13.099Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:54:15.071Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:54:17.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:54:19.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:54:21.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:54:21.581Z] 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. [2026-02-19T23:54:21.581Z] The best model improves the baseline by 14.52%. [2026-02-19T23:54:22.542Z] Top recommended movies for user id 72: [2026-02-19T23:54:22.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:54:22.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:54:22.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:54:22.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:54:22.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:54:22.542Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23186.605 ms) ====== [2026-02-19T23:54:22.542Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T23:54:22.542Z] GC before operation: completed in 166.263 ms, heap usage 334.877 MB -> 89.553 MB. [2026-02-19T23:54:25.602Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:54:28.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:54:33.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:54:35.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:54:38.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:54:40.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:54:42.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:54:44.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:54:45.152Z] 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. [2026-02-19T23:54:45.152Z] The best model improves the baseline by 14.52%. [2026-02-19T23:54:45.152Z] Top recommended movies for user id 72: [2026-02-19T23:54:45.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:54:45.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:54:45.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:54:45.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:54:45.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:54:45.152Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22834.567 ms) ====== [2026-02-19T23:54:45.152Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T23:54:45.152Z] GC before operation: completed in 161.656 ms, heap usage 426.739 MB -> 90.122 MB. [2026-02-19T23:54:49.345Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:54:52.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:54:55.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:54:59.643Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:55:01.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:55:03.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:55:06.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:55:07.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:55:08.166Z] 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. [2026-02-19T23:55:08.166Z] The best model improves the baseline by 14.52%. [2026-02-19T23:55:08.166Z] Top recommended movies for user id 72: [2026-02-19T23:55:08.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:55:08.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:55:08.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:55:08.166Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:55:08.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:55:08.166Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22984.554 ms) ====== [2026-02-19T23:55:08.166Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T23:55:08.166Z] GC before operation: completed in 164.409 ms, heap usage 253.513 MB -> 89.762 MB. [2026-02-19T23:55:12.431Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:55:15.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:55:18.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:55:21.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:55:23.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:55:25.659Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:55:27.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:55:29.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:55:30.851Z] 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. [2026-02-19T23:55:30.851Z] The best model improves the baseline by 14.52%. [2026-02-19T23:55:30.851Z] Top recommended movies for user id 72: [2026-02-19T23:55:30.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:55:30.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:55:30.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:55:30.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:55:30.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:55:30.851Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22101.987 ms) ====== [2026-02-19T23:55:30.851Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T23:55:30.851Z] GC before operation: completed in 158.097 ms, heap usage 120.412 MB -> 89.915 MB. [2026-02-19T23:55:33.897Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:55:37.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:55:40.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:55:44.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:55:45.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:55:47.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:55:50.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:55:51.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:55:52.240Z] 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. [2026-02-19T23:55:52.240Z] The best model improves the baseline by 14.52%. [2026-02-19T23:55:52.240Z] Top recommended movies for user id 72: [2026-02-19T23:55:52.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:55:52.240Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:55:52.240Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:55:52.240Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:55:52.240Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:55:52.240Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21558.151 ms) ====== [2026-02-19T23:55:52.240Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T23:55:52.240Z] GC before operation: completed in 159.522 ms, heap usage 175.262 MB -> 89.987 MB. [2026-02-19T23:55:55.313Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:55:58.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:56:02.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:56:05.583Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:56:07.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:56:08.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:56:11.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:56:13.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:56:13.535Z] 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. [2026-02-19T23:56:13.535Z] The best model improves the baseline by 14.52%. [2026-02-19T23:56:13.535Z] Top recommended movies for user id 72: [2026-02-19T23:56:13.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:56:13.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:56:13.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:56:13.535Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:56:13.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:56:13.535Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21404.838 ms) ====== [2026-02-19T23:56:13.535Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T23:56:13.535Z] GC before operation: completed in 161.678 ms, heap usage 122.639 MB -> 92.000 MB. [2026-02-19T23:56:17.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:56:20.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:56:23.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:56:26.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:56:28.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:56:30.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:56:32.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:56:34.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:56:34.433Z] 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. [2026-02-19T23:56:35.398Z] The best model improves the baseline by 14.52%. [2026-02-19T23:56:35.398Z] Top recommended movies for user id 72: [2026-02-19T23:56:35.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:56:35.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:56:35.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:56:35.398Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:56:35.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:56:35.398Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21204.899 ms) ====== [2026-02-19T23:56:35.398Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T23:56:35.398Z] GC before operation: completed in 170.035 ms, heap usage 333.233 MB -> 90.273 MB. [2026-02-19T23:56:38.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:56:41.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:56:44.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:56:47.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:56:49.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:56:51.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:56:53.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:56:55.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:56:55.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-19T23:56:55.463Z] The best model improves the baseline by 14.52%. [2026-02-19T23:56:55.463Z] Top recommended movies for user id 72: [2026-02-19T23:56:55.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:56:55.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:56:55.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:56:55.463Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:56:55.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:56:55.463Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20464.451 ms) ====== [2026-02-19T23:56:55.463Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T23:56:56.425Z] GC before operation: completed in 166.439 ms, heap usage 351.647 MB -> 90.626 MB. [2026-02-19T23:56:59.466Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:57:02.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:57:05.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:57:07.528Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:57:09.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:57:11.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:57:13.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:57:14.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:57:15.445Z] 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. [2026-02-19T23:57:15.445Z] The best model improves the baseline by 14.52%. [2026-02-19T23:57:15.445Z] Top recommended movies for user id 72: [2026-02-19T23:57:15.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:57:15.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:57:15.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:57:15.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:57:15.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:57:15.445Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19621.790 ms) ====== [2026-02-19T23:57:15.445Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T23:57:15.445Z] GC before operation: completed in 161.663 ms, heap usage 291.559 MB -> 90.271 MB. [2026-02-19T23:57:19.632Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:57:23.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:57:25.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:57:28.460Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:57:30.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:57:32.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:57:34.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:57:36.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:57:36.472Z] 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. [2026-02-19T23:57:36.472Z] The best model improves the baseline by 14.52%. [2026-02-19T23:57:36.472Z] Top recommended movies for user id 72: [2026-02-19T23:57:36.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:57:36.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:57:36.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:57:36.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:57:36.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:57:36.472Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21136.972 ms) ====== [2026-02-19T23:57:36.472Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T23:57:37.433Z] GC before operation: completed in 166.364 ms, heap usage 225.212 MB -> 90.297 MB. [2026-02-19T23:57:40.524Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:57:43.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:57:46.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:57:49.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:57:50.618Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:57:52.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:57:54.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:57:56.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:57:56.555Z] 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. [2026-02-19T23:57:56.555Z] The best model improves the baseline by 14.52%. [2026-02-19T23:57:57.518Z] Top recommended movies for user id 72: [2026-02-19T23:57:57.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:57:57.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:57:57.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:57:57.518Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:57:57.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:57:57.518Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20106.042 ms) ====== [2026-02-19T23:57:57.518Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T23:57:57.518Z] GC before operation: completed in 173.495 ms, heap usage 752.701 MB -> 94.359 MB. [2026-02-19T23:58:00.611Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:58:03.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:58:06.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:58:09.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:58:11.766Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:58:13.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:58:15.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:58:17.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:58:17.437Z] 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. [2026-02-19T23:58:17.437Z] The best model improves the baseline by 14.52%. [2026-02-19T23:58:18.397Z] Top recommended movies for user id 72: [2026-02-19T23:58:18.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:58:18.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:58:18.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:58:18.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:58:18.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:58:18.397Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20766.366 ms) ====== [2026-02-19T23:58:18.397Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T23:58:18.397Z] GC before operation: completed in 162.230 ms, heap usage 446.372 MB -> 90.493 MB. [2026-02-19T23:58:21.446Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:58:24.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:58:28.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:58:30.745Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:58:32.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:58:34.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:58:36.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:58:38.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:58:38.820Z] 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. [2026-02-19T23:58:39.781Z] The best model improves the baseline by 14.52%. [2026-02-19T23:58:39.781Z] Top recommended movies for user id 72: [2026-02-19T23:58:39.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:58:39.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:58:39.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:58:39.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:58:39.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:58:39.781Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21281.515 ms) ====== [2026-02-19T23:58:39.781Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T23:58:39.781Z] GC before operation: completed in 159.534 ms, heap usage 126.617 MB -> 92.072 MB. [2026-02-19T23:58:42.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:58:45.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:58:48.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:58:51.965Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:58:53.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:58:55.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:58:57.919Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:58:59.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:59:00.857Z] 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. [2026-02-19T23:59:00.857Z] The best model improves the baseline by 14.52%. [2026-02-19T23:59:00.857Z] Top recommended movies for user id 72: [2026-02-19T23:59:00.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:59:00.857Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:59:00.857Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:59:00.857Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:59:00.857Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:59:00.857Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21126.972 ms) ====== [2026-02-19T23:59:00.857Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T23:59:00.857Z] GC before operation: completed in 163.898 ms, heap usage 242.333 MB -> 90.361 MB. [2026-02-19T23:59:03.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:59:06.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:59:11.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:59:14.161Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:59:16.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:59:18.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:59:20.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:59:22.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:59:22.099Z] 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. [2026-02-19T23:59:22.099Z] The best model improves the baseline by 14.52%. [2026-02-19T23:59:22.099Z] Top recommended movies for user id 72: [2026-02-19T23:59:22.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:59:22.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:59:22.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:59:22.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:59:22.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:59:22.099Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21279.959 ms) ====== [2026-02-19T23:59:22.099Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T23:59:22.099Z] GC before operation: completed in 161.581 ms, heap usage 285.405 MB -> 90.565 MB. [2026-02-19T23:59:25.805Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:59:28.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:59:31.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:59:36.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:59:37.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:59:39.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:59:41.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:59:43.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:59:43.970Z] 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. [2026-02-19T23:59:43.970Z] The best model improves the baseline by 14.52%. [2026-02-19T23:59:43.970Z] Top recommended movies for user id 72: [2026-02-19T23:59:43.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:59:43.970Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:59:43.970Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:59:43.970Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:59:43.970Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:59:43.970Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21576.333 ms) ====== [2026-02-19T23:59:43.970Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T23:59:43.970Z] GC before operation: completed in 164.964 ms, heap usage 376.352 MB -> 90.464 MB. [2026-02-19T23:59:47.019Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:59:50.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:59:54.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:59:56.236Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:59:58.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:00:00.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:00:02.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:00:04.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:00:04.470Z] 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. [2026-02-20T00:00:04.470Z] The best model improves the baseline by 14.52%. [2026-02-20T00:00:04.470Z] Top recommended movies for user id 72: [2026-02-20T00:00:04.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:00:04.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:00:04.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:00:04.470Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:00:04.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:00:04.470Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20438.587 ms) ====== [2026-02-20T00:00:04.470Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T00:00:04.470Z] GC before operation: completed in 164.848 ms, heap usage 259.546 MB -> 90.481 MB. [2026-02-20T00:00:08.656Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:00:11.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:00:13.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:00:16.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:00:18.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:00:20.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:00:21.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:00:23.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:00:23.686Z] 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. [2026-02-20T00:00:23.686Z] The best model improves the baseline by 14.52%. [2026-02-20T00:00:24.653Z] Top recommended movies for user id 72: [2026-02-20T00:00:24.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:00:24.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:00:24.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:00:24.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:00:24.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:00:24.653Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19451.684 ms) ====== [2026-02-20T00:00:25.612Z] ----------------------------------- [2026-02-20T00:00:25.612Z] renaissance-movie-lens_0_PASSED [2026-02-20T00:00:25.612Z] ----------------------------------- [2026-02-20T00:00:25.612Z] [2026-02-20T00:00:25.612Z] TEST TEARDOWN: [2026-02-20T00:00:25.612Z] Nothing to be done for teardown. [2026-02-20T00:00:25.612Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 00:00:24 2026 Epoch Time (ms): 1771545624990