[2026-01-31T11:25:34.126Z] Running test renaissance-movie-lens_0 ... [2026-01-31T11:25:34.126Z] =============================================== [2026-01-31T11:25:34.126Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 11:25:33 2026 Epoch Time (ms): 1769858733360 [2026-01-31T11:25:34.126Z] variation: NoOptions [2026-01-31T11:25:34.126Z] JVM_OPTIONS: [2026-01-31T11:25:34.126Z] { \ [2026-01-31T11:25:34.126Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T11:25:34.126Z] echo "Nothing to be done for setup."; \ [2026-01-31T11:25:34.126Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17698574681092/renaissance-movie-lens_0"; \ [2026-01-31T11:25:34.126Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17698574681092/renaissance-movie-lens_0"; \ [2026-01-31T11:25:34.126Z] echo ""; echo "TESTING:"; \ [2026-01-31T11:25:34.126Z] "/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_17698574681092/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-31T11:25:34.126Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17698574681092/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T11:25:34.126Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T11:25:34.126Z] echo "Nothing to be done for teardown."; \ [2026-01-31T11:25:34.126Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17698574681092/TestTargetResult"; [2026-01-31T11:25:34.126Z] [2026-01-31T11:25:34.126Z] TEST SETUP: [2026-01-31T11:25:34.126Z] Nothing to be done for setup. [2026-01-31T11:25:34.126Z] [2026-01-31T11:25:34.126Z] TESTING: [2026-01-31T11:25:35.081Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-31T11:25:35.081Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17698574681092/renaissance-movie-lens_0/launcher-112533-14681702535873059804/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-31T11:25:35.081Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-31T11:25:35.081Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-31T11:25:43.964Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-31T11:25:59.757Z] 11:25:57.828 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-31T11:26:01.720Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T11:26:02.675Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T11:26:02.675Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T11:26:02.675Z] GC before operation: completed in 155.659 ms, heap usage 292.411 MB -> 76.085 MB. [2026-01-31T11:26:14.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:26:18.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:26:23.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:26:28.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:26:30.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:26:33.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:26:36.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:26:37.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:26:38.725Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:26:38.725Z] The best model improves the baseline by 14.52%. [2026-01-31T11:26:38.725Z] Top recommended movies for user id 72: [2026-01-31T11:26:38.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:26:38.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:26:38.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:26:38.725Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:26:38.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:26:38.725Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35880.349 ms) ====== [2026-01-31T11:26:38.725Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T11:26:38.725Z] GC before operation: completed in 188.620 ms, heap usage 445.381 MB -> 86.778 MB. [2026-01-31T11:26:42.955Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:26:47.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:26:51.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:26:54.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:26:57.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:26:59.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:27:02.394Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:27:04.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:27:04.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:27:04.365Z] The best model improves the baseline by 14.52%. [2026-01-31T11:27:04.365Z] Top recommended movies for user id 72: [2026-01-31T11:27:04.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:27:04.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:27:04.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:27:04.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:27:04.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:27:04.365Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25635.313 ms) ====== [2026-01-31T11:27:04.365Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T11:27:05.323Z] GC before operation: completed in 176.498 ms, heap usage 471.403 MB -> 88.984 MB. [2026-01-31T11:27:08.373Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:27:12.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:27:15.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:27:19.775Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:27:21.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:27:23.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:27:25.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:27:27.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:27:28.483Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:27:28.483Z] The best model improves the baseline by 14.52%. [2026-01-31T11:27:28.483Z] Top recommended movies for user id 72: [2026-01-31T11:27:28.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:27:28.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:27:28.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:27:28.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:27:28.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:27:28.483Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23627.842 ms) ====== [2026-01-31T11:27:28.483Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T11:27:28.483Z] GC before operation: completed in 160.495 ms, heap usage 143.302 MB -> 89.169 MB. [2026-01-31T11:27:32.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:27:35.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:27:38.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:27:41.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:27:43.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:27:45.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:27:48.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:27:50.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:27:50.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:27:50.715Z] The best model improves the baseline by 14.52%. [2026-01-31T11:27:50.715Z] Top recommended movies for user id 72: [2026-01-31T11:27:50.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:27:50.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:27:50.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:27:50.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:27:50.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:27:50.715Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22220.612 ms) ====== [2026-01-31T11:27:50.715Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T11:27:50.715Z] GC before operation: completed in 148.221 ms, heap usage 114.273 MB -> 89.461 MB. [2026-01-31T11:27:54.886Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:27:57.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:28:02.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:28:05.137Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:28:07.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:28:09.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:28:11.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:28:14.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:28:14.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:28:14.098Z] The best model improves the baseline by 14.52%. [2026-01-31T11:28:14.098Z] Top recommended movies for user id 72: [2026-01-31T11:28:14.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:28:14.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:28:14.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:28:14.098Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:28:14.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:28:14.098Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23294.845 ms) ====== [2026-01-31T11:28:14.098Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T11:28:15.611Z] GC before operation: completed in 223.252 ms, heap usage 223.296 MB -> 89.481 MB. [2026-01-31T11:28:18.903Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:28:23.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:28:26.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:28:30.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:28:32.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:28:34.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:28:36.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:28:39.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:28:39.649Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:28:39.649Z] The best model improves the baseline by 14.52%. [2026-01-31T11:28:39.649Z] Top recommended movies for user id 72: [2026-01-31T11:28:39.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:28:39.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:28:39.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:28:39.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:28:39.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:28:39.649Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25087.435 ms) ====== [2026-01-31T11:28:39.649Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T11:28:39.649Z] GC before operation: completed in 198.249 ms, heap usage 547.152 MB -> 93.509 MB. [2026-01-31T11:28:43.914Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:28:47.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:28:52.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:28:56.199Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:28:58.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:29:01.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:29:03.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:29:10.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:29:10.791Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:29:10.791Z] The best model improves the baseline by 14.52%. [2026-01-31T11:29:10.791Z] Top recommended movies for user id 72: [2026-01-31T11:29:10.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:29:10.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:29:10.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:29:10.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:29:10.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:29:10.791Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27447.995 ms) ====== [2026-01-31T11:29:10.791Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T11:29:10.791Z] GC before operation: completed in 167.529 ms, heap usage 370.156 MB -> 89.984 MB. [2026-01-31T11:29:11.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:29:15.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:29:18.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:29:23.171Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:29:25.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:29:28.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:29:31.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:29:34.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:29:34.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:29:34.563Z] The best model improves the baseline by 14.52%. [2026-01-31T11:29:34.563Z] Top recommended movies for user id 72: [2026-01-31T11:29:34.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:29:34.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:29:34.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:29:34.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:29:34.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:29:34.563Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27182.487 ms) ====== [2026-01-31T11:29:34.563Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T11:29:34.563Z] GC before operation: completed in 206.738 ms, heap usage 107.957 MB -> 89.867 MB. [2026-01-31T11:29:38.749Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:29:43.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:29:48.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:29:51.559Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:29:54.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:29:57.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:30:01.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:30:02.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:30:03.694Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:30:03.694Z] The best model improves the baseline by 14.52%. [2026-01-31T11:30:03.694Z] Top recommended movies for user id 72: [2026-01-31T11:30:03.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:30:03.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:30:03.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:30:03.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:30:03.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:30:03.694Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (28494.127 ms) ====== [2026-01-31T11:30:03.694Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T11:30:03.694Z] GC before operation: completed in 599.161 ms, heap usage 360.978 MB -> 90.165 MB. [2026-01-31T11:30:09.928Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:30:14.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:30:19.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:30:24.184Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:30:26.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:30:29.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:30:32.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:30:34.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:30:35.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:30:35.377Z] The best model improves the baseline by 14.52%. [2026-01-31T11:30:35.377Z] Top recommended movies for user id 72: [2026-01-31T11:30:35.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:30:35.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:30:35.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:30:35.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:30:35.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:30:35.377Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31270.322 ms) ====== [2026-01-31T11:30:35.377Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T11:30:35.377Z] GC before operation: completed in 231.468 ms, heap usage 381.751 MB -> 90.233 MB. [2026-01-31T11:30:39.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:30:44.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:30:48.236Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:30:53.315Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:30:55.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:30:58.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:31:00.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:31:03.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:31:04.417Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:31:04.417Z] The best model improves the baseline by 14.52%. [2026-01-31T11:31:04.417Z] Top recommended movies for user id 72: [2026-01-31T11:31:04.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:31:04.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:31:04.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:31:04.417Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:31:04.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:31:04.417Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (29064.161 ms) ====== [2026-01-31T11:31:04.417Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T11:31:05.394Z] GC before operation: completed in 269.121 ms, heap usage 227.013 MB -> 89.790 MB. [2026-01-31T11:31:10.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:31:16.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:31:23.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:31:30.086Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:31:34.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:31:36.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:31:39.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:31:42.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:31:42.453Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:31:42.453Z] The best model improves the baseline by 14.52%. [2026-01-31T11:31:42.453Z] Top recommended movies for user id 72: [2026-01-31T11:31:42.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:31:42.453Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:31:42.453Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:31:42.453Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:31:42.453Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:31:42.453Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (37715.461 ms) ====== [2026-01-31T11:31:42.453Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T11:31:42.453Z] GC before operation: completed in 210.235 ms, heap usage 425.541 MB -> 90.356 MB. [2026-01-31T11:31:47.354Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:31:51.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:31:55.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:31:58.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:32:01.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:32:03.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:32:06.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:32:08.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:32:09.789Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:32:09.789Z] The best model improves the baseline by 14.52%. [2026-01-31T11:32:09.789Z] Top recommended movies for user id 72: [2026-01-31T11:32:09.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:32:09.789Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:32:09.789Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:32:09.789Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:32:09.789Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:32:09.789Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26888.738 ms) ====== [2026-01-31T11:32:09.789Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T11:32:09.789Z] GC before operation: completed in 211.757 ms, heap usage 226.329 MB -> 90.076 MB. [2026-01-31T11:32:13.974Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:32:18.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:32:22.381Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:32:26.633Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:32:30.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:32:31.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:32:34.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:32:36.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:32:36.196Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:32:36.196Z] The best model improves the baseline by 14.52%. [2026-01-31T11:32:37.159Z] Top recommended movies for user id 72: [2026-01-31T11:32:37.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:32:37.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:32:37.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:32:37.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:32:37.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:32:37.160Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27007.232 ms) ====== [2026-01-31T11:32:37.160Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T11:32:37.160Z] GC before operation: completed in 206.058 ms, heap usage 246.109 MB -> 89.935 MB. [2026-01-31T11:32:41.337Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:32:44.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:32:48.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:32:51.608Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:32:53.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:32:56.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:32:58.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:33:01.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:33:01.645Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:33:01.645Z] The best model improves the baseline by 14.52%. [2026-01-31T11:33:01.645Z] Top recommended movies for user id 72: [2026-01-31T11:33:01.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:33:01.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:33:01.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:33:01.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:33:01.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:33:01.645Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24853.802 ms) ====== [2026-01-31T11:33:01.645Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T11:33:02.610Z] GC before operation: completed in 219.301 ms, heap usage 124.358 MB -> 90.095 MB. [2026-01-31T11:33:06.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:33:09.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:33:14.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:33:18.291Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:33:20.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:33:22.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:33:24.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:33:26.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:33:27.795Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:33:27.795Z] The best model improves the baseline by 14.52%. [2026-01-31T11:33:27.795Z] Top recommended movies for user id 72: [2026-01-31T11:33:27.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:33:27.795Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:33:27.795Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:33:27.795Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:33:27.795Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:33:27.795Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25458.236 ms) ====== [2026-01-31T11:33:27.795Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T11:33:27.795Z] GC before operation: completed in 255.012 ms, heap usage 418.522 MB -> 90.365 MB. [2026-01-31T11:33:31.997Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:33:35.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:33:39.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:33:42.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:33:44.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:33:46.291Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:33:49.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:33:51.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:33:51.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:33:51.311Z] The best model improves the baseline by 14.52%. [2026-01-31T11:33:51.311Z] Top recommended movies for user id 72: [2026-01-31T11:33:51.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:33:51.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:33:51.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:33:51.311Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:33:51.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:33:51.311Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23708.106 ms) ====== [2026-01-31T11:33:51.311Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T11:33:52.275Z] GC before operation: completed in 240.457 ms, heap usage 520.131 MB -> 93.795 MB. [2026-01-31T11:33:56.477Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:33:59.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:34:04.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:34:07.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:34:09.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:34:12.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:34:14.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:34:17.239Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:34:17.239Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:34:17.239Z] The best model improves the baseline by 14.52%. [2026-01-31T11:34:17.239Z] Top recommended movies for user id 72: [2026-01-31T11:34:17.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:34:17.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:34:17.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:34:17.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:34:17.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:34:17.239Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25677.471 ms) ====== [2026-01-31T11:34:17.239Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T11:34:18.207Z] GC before operation: completed in 220.091 ms, heap usage 345.216 MB -> 90.054 MB. [2026-01-31T11:34:21.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:34:25.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:34:29.673Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:34:34.046Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:34:36.021Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:34:37.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:34:41.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:34:43.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:34:43.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:34:43.994Z] The best model improves the baseline by 14.52%. [2026-01-31T11:34:43.994Z] Top recommended movies for user id 72: [2026-01-31T11:34:43.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:34:43.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:34:43.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:34:43.994Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:34:43.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:34:43.994Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26296.030 ms) ====== [2026-01-31T11:34:43.994Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T11:34:43.994Z] GC before operation: completed in 252.039 ms, heap usage 424.978 MB -> 90.485 MB. [2026-01-31T11:34:47.774Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:34:51.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:34:56.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:35:00.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:35:02.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:35:04.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:35:07.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:35:10.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:35:10.973Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:35:10.973Z] The best model improves the baseline by 14.52%. [2026-01-31T11:35:10.973Z] Top recommended movies for user id 72: [2026-01-31T11:35:10.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:35:10.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:35:10.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:35:10.973Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:35:10.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:35:10.974Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26927.356 ms) ====== [2026-01-31T11:35:13.142Z] ----------------------------------- [2026-01-31T11:35:13.142Z] renaissance-movie-lens_0_PASSED [2026-01-31T11:35:13.142Z] ----------------------------------- [2026-01-31T11:35:13.142Z] [2026-01-31T11:35:13.142Z] TEST TEARDOWN: [2026-01-31T11:35:13.142Z] Nothing to be done for teardown. [2026-01-31T11:35:13.142Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 11:35:13 2026 Epoch Time (ms): 1769859313044