[2026-02-12T17:45:04.692Z] Running test renaissance-movie-lens_0 ... [2026-02-12T17:45:04.692Z] =============================================== [2026-02-12T17:45:04.692Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 17:45:04 2026 Epoch Time (ms): 1770918304591 [2026-02-12T17:45:04.692Z] variation: NoOptions [2026-02-12T17:45:04.692Z] JVM_OPTIONS: [2026-02-12T17:45:04.692Z] { \ [2026-02-12T17:45:04.692Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T17:45:04.692Z] echo "Nothing to be done for setup."; \ [2026-02-12T17:45:04.692Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709170631462/renaissance-movie-lens_0"; \ [2026-02-12T17:45:04.692Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709170631462/renaissance-movie-lens_0"; \ [2026-02-12T17:45:04.692Z] echo ""; echo "TESTING:"; \ [2026-02-12T17:45:04.692Z] "/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_17709170631462/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T17:45:04.692Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709170631462/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T17:45:04.692Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T17:45:04.692Z] echo "Nothing to be done for teardown."; \ [2026-02-12T17:45:04.692Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709170631462/TestTargetResult"; [2026-02-12T17:45:04.692Z] [2026-02-12T17:45:04.692Z] TEST SETUP: [2026-02-12T17:45:04.692Z] Nothing to be done for setup. [2026-02-12T17:45:04.692Z] [2026-02-12T17:45:04.692Z] TESTING: [2026-02-12T17:45:05.457Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-12T17:45:05.457Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17709170631462/renaissance-movie-lens_0/launcher-174504-3747098656051151845/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-12T17:45:05.457Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-12T17:45:05.457Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-12T17:45:13.003Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T17:45:22.244Z] 17:45:21.913 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T17:45:25.593Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T17:45:25.964Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T17:45:25.964Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T17:45:26.357Z] GC before operation: completed in 138.620 ms, heap usage 301.771 MB -> 75.835 MB. [2026-02-12T17:45:35.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:45:40.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:45:44.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:45:49.073Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:45:50.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:45:53.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:45:55.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:45:58.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:45:58.337Z] 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. [2026-02-12T17:45:58.697Z] The best model improves the baseline by 14.52%. [2026-02-12T17:45:58.697Z] Top recommended movies for user id 72: [2026-02-12T17:45:58.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:45:58.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:45:58.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:45:58.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:45:58.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:45:58.697Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32653.292 ms) ====== [2026-02-12T17:45:58.697Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T17:45:59.088Z] GC before operation: completed in 162.306 ms, heap usage 193.648 MB -> 100.537 MB. [2026-02-12T17:46:03.140Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:46:06.316Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:46:10.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:46:13.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:46:15.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:46:17.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:46:19.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:46:22.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:46:22.107Z] 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. [2026-02-12T17:46:22.107Z] The best model improves the baseline by 14.52%. [2026-02-12T17:46:22.107Z] Top recommended movies for user id 72: [2026-02-12T17:46:22.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:46:22.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:46:22.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:46:22.107Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:46:22.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:46:22.107Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23240.029 ms) ====== [2026-02-12T17:46:22.107Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T17:46:22.476Z] GC before operation: completed in 151.853 ms, heap usage 423.437 MB -> 88.745 MB. [2026-02-12T17:46:25.813Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:46:29.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:46:33.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:46:36.267Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:46:38.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:46:39.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:46:41.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:46:43.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:46:43.873Z] 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. [2026-02-12T17:46:43.873Z] The best model improves the baseline by 14.52%. [2026-02-12T17:46:44.233Z] Top recommended movies for user id 72: [2026-02-12T17:46:44.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:46:44.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:46:44.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:46:44.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:46:44.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:46:44.233Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21819.848 ms) ====== [2026-02-12T17:46:44.233Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T17:46:44.233Z] GC before operation: completed in 146.156 ms, heap usage 374.814 MB -> 89.352 MB. [2026-02-12T17:46:47.413Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:46:50.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:46:53.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:46:56.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:46:59.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:47:01.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:47:03.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:47:04.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:47:05.342Z] 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. [2026-02-12T17:47:05.342Z] The best model improves the baseline by 14.52%. [2026-02-12T17:47:05.695Z] Top recommended movies for user id 72: [2026-02-12T17:47:05.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:47:05.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:47:05.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:47:05.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:47:05.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:47:05.696Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21293.013 ms) ====== [2026-02-12T17:47:05.696Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T17:47:05.696Z] GC before operation: completed in 150.259 ms, heap usage 208.366 MB -> 89.443 MB. [2026-02-12T17:47:08.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:47:12.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:47:15.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:47:18.413Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:47:20.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:47:22.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:47:23.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:47:25.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:47:26.080Z] 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. [2026-02-12T17:47:26.080Z] The best model improves the baseline by 14.52%. [2026-02-12T17:47:26.468Z] Top recommended movies for user id 72: [2026-02-12T17:47:26.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:47:26.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:47:26.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:47:26.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:47:26.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:47:26.468Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20501.865 ms) ====== [2026-02-12T17:47:26.468Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T17:47:26.468Z] GC before operation: completed in 152.730 ms, heap usage 368.877 MB -> 89.714 MB. [2026-02-12T17:47:29.755Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:47:32.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:47:36.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:47:39.297Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:47:41.109Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:47:42.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:47:44.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:47:46.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:47:46.832Z] 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. [2026-02-12T17:47:46.832Z] The best model improves the baseline by 14.52%. [2026-02-12T17:47:47.197Z] Top recommended movies for user id 72: [2026-02-12T17:47:47.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:47:47.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:47:47.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:47:47.197Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:47:47.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:47:47.197Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20701.797 ms) ====== [2026-02-12T17:47:47.197Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T17:47:47.197Z] GC before operation: completed in 143.731 ms, heap usage 373.051 MB -> 89.985 MB. [2026-02-12T17:47:50.320Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:47:53.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:47:56.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:47:59.837Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:48:01.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:48:03.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:48:05.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:48:07.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:48:07.150Z] 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. [2026-02-12T17:48:07.510Z] The best model improves the baseline by 14.52%. [2026-02-12T17:48:07.510Z] Top recommended movies for user id 72: [2026-02-12T17:48:07.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:48:07.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:48:07.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:48:07.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:48:07.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:48:07.510Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20197.614 ms) ====== [2026-02-12T17:48:07.510Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T17:48:07.510Z] GC before operation: completed in 149.368 ms, heap usage 406.275 MB -> 89.931 MB. [2026-02-12T17:48:10.660Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:48:13.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:48:16.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:48:19.353Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:48:21.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:48:23.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:48:25.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:48:27.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:48:27.230Z] 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. [2026-02-12T17:48:27.230Z] The best model improves the baseline by 14.52%. [2026-02-12T17:48:27.586Z] Top recommended movies for user id 72: [2026-02-12T17:48:27.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:48:27.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:48:27.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:48:27.586Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:48:27.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:48:27.586Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19907.079 ms) ====== [2026-02-12T17:48:27.586Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T17:48:27.586Z] GC before operation: completed in 134.376 ms, heap usage 369.366 MB -> 90.130 MB. [2026-02-12T17:48:30.725Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:48:33.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:48:36.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:48:39.609Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:48:41.390Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:48:43.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:48:45.057Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:48:46.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:48:47.251Z] 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. [2026-02-12T17:48:47.251Z] The best model improves the baseline by 14.52%. [2026-02-12T17:48:47.251Z] Top recommended movies for user id 72: [2026-02-12T17:48:47.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:48:47.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:48:47.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:48:47.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:48:47.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:48:47.251Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19703.049 ms) ====== [2026-02-12T17:48:47.251Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T17:48:47.617Z] GC before operation: completed in 138.275 ms, heap usage 100.534 MB -> 93.598 MB. [2026-02-12T17:48:50.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:48:53.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:48:56.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:48:59.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:49:01.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:49:03.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:49:04.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:49:06.787Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:49:07.181Z] 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. [2026-02-12T17:49:07.182Z] The best model improves the baseline by 14.52%. [2026-02-12T17:49:07.182Z] Top recommended movies for user id 72: [2026-02-12T17:49:07.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:49:07.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:49:07.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:49:07.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:49:07.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:49:07.182Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19669.826 ms) ====== [2026-02-12T17:49:07.182Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T17:49:07.538Z] GC before operation: completed in 143.189 ms, heap usage 474.757 MB -> 90.294 MB. [2026-02-12T17:49:10.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:49:13.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:49:16.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:49:19.725Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:49:20.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:49:23.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:49:25.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:49:27.020Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:49:27.020Z] 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. [2026-02-12T17:49:27.380Z] The best model improves the baseline by 14.52%. [2026-02-12T17:49:27.380Z] Top recommended movies for user id 72: [2026-02-12T17:49:27.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:49:27.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:49:27.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:49:27.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:49:27.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:49:27.380Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20071.611 ms) ====== [2026-02-12T17:49:27.380Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T17:49:27.744Z] GC before operation: completed in 138.728 ms, heap usage 372.947 MB -> 89.933 MB. [2026-02-12T17:49:30.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:49:33.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:49:35.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:49:38.917Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:49:40.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:49:42.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:49:43.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:49:45.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:49:45.565Z] 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. [2026-02-12T17:49:45.565Z] The best model improves the baseline by 14.52%. [2026-02-12T17:49:45.936Z] Top recommended movies for user id 72: [2026-02-12T17:49:45.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:49:45.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:49:45.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:49:45.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:49:45.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:49:45.937Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18219.234 ms) ====== [2026-02-12T17:49:45.937Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T17:49:45.937Z] GC before operation: completed in 143.321 ms, heap usage 619.876 MB -> 93.707 MB. [2026-02-12T17:49:49.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:49:51.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:49:54.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:49:57.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:49:59.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:50:01.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:50:03.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:50:05.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:50:05.587Z] 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. [2026-02-12T17:50:05.587Z] The best model improves the baseline by 14.52%. [2026-02-12T17:50:05.587Z] Top recommended movies for user id 72: [2026-02-12T17:50:05.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:50:05.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:50:05.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:50:05.587Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:50:05.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:50:05.587Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19785.149 ms) ====== [2026-02-12T17:50:05.587Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T17:50:05.957Z] GC before operation: completed in 141.797 ms, heap usage 295.712 MB -> 90.172 MB. [2026-02-12T17:50:09.143Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:50:12.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:50:14.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:50:18.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:50:19.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:50:21.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:50:23.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:50:25.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:50:25.647Z] 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. [2026-02-12T17:50:25.647Z] The best model improves the baseline by 14.52%. [2026-02-12T17:50:26.015Z] Top recommended movies for user id 72: [2026-02-12T17:50:26.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:50:26.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:50:26.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:50:26.015Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:50:26.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:50:26.015Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20053.673 ms) ====== [2026-02-12T17:50:26.015Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T17:50:26.015Z] GC before operation: completed in 136.087 ms, heap usage 153.040 MB -> 89.719 MB. [2026-02-12T17:50:28.672Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:50:31.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:50:34.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:50:37.477Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:50:38.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:50:40.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:50:42.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:50:43.567Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:50:43.923Z] 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. [2026-02-12T17:50:43.923Z] The best model improves the baseline by 14.52%. [2026-02-12T17:50:44.313Z] Top recommended movies for user id 72: [2026-02-12T17:50:44.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:50:44.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:50:44.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:50:44.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:50:44.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:50:44.313Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18104.670 ms) ====== [2026-02-12T17:50:44.313Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T17:50:44.313Z] GC before operation: completed in 140.139 ms, heap usage 436.417 MB -> 90.447 MB. [2026-02-12T17:50:47.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:50:49.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:50:53.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:50:56.363Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:50:58.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:51:00.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:51:01.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:51:03.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:51:03.977Z] 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. [2026-02-12T17:51:03.977Z] The best model improves the baseline by 14.52%. [2026-02-12T17:51:04.329Z] Top recommended movies for user id 72: [2026-02-12T17:51:04.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:51:04.329Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:51:04.329Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:51:04.329Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:51:04.329Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:51:04.329Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19897.990 ms) ====== [2026-02-12T17:51:04.329Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T17:51:04.329Z] GC before operation: completed in 143.609 ms, heap usage 293.948 MB -> 90.092 MB. [2026-02-12T17:51:07.466Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:51:09.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:51:13.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:51:15.541Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:51:16.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:51:18.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:51:20.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:51:22.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:51:22.268Z] 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. [2026-02-12T17:51:22.268Z] The best model improves the baseline by 14.52%. [2026-02-12T17:51:22.268Z] Top recommended movies for user id 72: [2026-02-12T17:51:22.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:51:22.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:51:22.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:51:22.268Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:51:22.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:51:22.268Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18063.730 ms) ====== [2026-02-12T17:51:22.268Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T17:51:22.626Z] GC before operation: completed in 138.090 ms, heap usage 253.607 MB -> 90.045 MB. [2026-02-12T17:51:25.872Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:51:28.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:51:30.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:51:33.952Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:51:35.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:51:36.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:51:38.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:51:40.177Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:51:40.573Z] 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. [2026-02-12T17:51:40.573Z] The best model improves the baseline by 14.52%. [2026-02-12T17:51:40.573Z] Top recommended movies for user id 72: [2026-02-12T17:51:40.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:51:40.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:51:40.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:51:40.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:51:40.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:51:40.573Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18086.923 ms) ====== [2026-02-12T17:51:40.573Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T17:51:40.928Z] GC before operation: completed in 140.577 ms, heap usage 506.226 MB -> 90.250 MB. [2026-02-12T17:51:44.078Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:51:46.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:51:48.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:51:52.156Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:51:53.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:51:55.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:51:56.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:51:58.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:51:58.797Z] 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. [2026-02-12T17:51:58.797Z] The best model improves the baseline by 14.52%. [2026-02-12T17:51:58.797Z] Top recommended movies for user id 72: [2026-02-12T17:51:58.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:51:58.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:51:58.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:51:58.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:51:58.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:51:58.797Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18088.517 ms) ====== [2026-02-12T17:51:58.797Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T17:51:59.166Z] GC before operation: completed in 138.123 ms, heap usage 196.509 MB -> 90.010 MB. [2026-02-12T17:52:01.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T17:52:04.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T17:52:07.293Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T17:52:10.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T17:52:12.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T17:52:14.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T17:52:15.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T17:52:17.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T17:52:17.779Z] 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. [2026-02-12T17:52:17.779Z] The best model improves the baseline by 14.52%. [2026-02-12T17:52:17.779Z] Top recommended movies for user id 72: [2026-02-12T17:52:17.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T17:52:17.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T17:52:17.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T17:52:17.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T17:52:17.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T17:52:17.779Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18914.327 ms) ====== [2026-02-12T17:52:18.541Z] ----------------------------------- [2026-02-12T17:52:18.541Z] renaissance-movie-lens_0_PASSED [2026-02-12T17:52:18.541Z] ----------------------------------- [2026-02-12T17:52:18.541Z] [2026-02-12T17:52:18.541Z] TEST TEARDOWN: [2026-02-12T17:52:18.541Z] Nothing to be done for teardown. [2026-02-12T17:52:18.541Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 17:52:18 2026 Epoch Time (ms): 1770918738392