[2026-01-03T14:17:57.795Z] Running test renaissance-movie-lens_0 ... [2026-01-03T14:17:57.795Z] =============================================== [2026-01-03T14:17:57.795Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 14:17:57 2026 Epoch Time (ms): 1767449877271 [2026-01-03T14:17:57.795Z] variation: NoOptions [2026-01-03T14:17:57.795Z] JVM_OPTIONS: [2026-01-03T14:17:57.795Z] { \ [2026-01-03T14:17:57.795Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T14:17:57.795Z] echo "Nothing to be done for setup."; \ [2026-01-03T14:17:57.795Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674481002988/renaissance-movie-lens_0"; \ [2026-01-03T14:17:57.795Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674481002988/renaissance-movie-lens_0"; \ [2026-01-03T14:17:57.795Z] echo ""; echo "TESTING:"; \ [2026-01-03T14:17:57.795Z] "/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_17674481002988/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T14:17:57.795Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674481002988/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T14:17:57.795Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T14:17:57.795Z] echo "Nothing to be done for teardown."; \ [2026-01-03T14:17:57.795Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674481002988/TestTargetResult"; [2026-01-03T14:17:57.795Z] [2026-01-03T14:17:57.795Z] TEST SETUP: [2026-01-03T14:17:57.795Z] Nothing to be done for setup. [2026-01-03T14:17:57.795Z] [2026-01-03T14:17:57.795Z] TESTING: [2026-01-03T14:17:58.934Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T14:17:58.934Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17674481002988/renaissance-movie-lens_0/launcher-141757-1661768161107173132/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T14:17:58.934Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T14:17:58.934Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T14:18:07.632Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-03T14:18:21.152Z] 14:18:19.771 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-03T14:18:23.116Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T14:18:24.070Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T14:18:24.070Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T14:18:24.070Z] GC before operation: completed in 194.812 ms, heap usage 185.019 MB -> 75.983 MB. [2026-01-03T14:18:35.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:18:41.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:18:46.886Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:18:51.169Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:18:54.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:18:56.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:18:59.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:19:01.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:19:02.101Z] 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. [2026-01-03T14:19:02.101Z] The best model improves the baseline by 14.52%. [2026-01-03T14:19:02.101Z] Top recommended movies for user id 72: [2026-01-03T14:19:02.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:19:02.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:19:02.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:19:02.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:19:02.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:19:02.101Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37917.320 ms) ====== [2026-01-03T14:19:02.101Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T14:19:02.101Z] GC before operation: completed in 192.727 ms, heap usage 99.299 MB -> 86.908 MB. [2026-01-03T14:19:06.274Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:19:10.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:19:14.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:19:17.762Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:19:19.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:19:22.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:19:24.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:19:26.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:19:26.495Z] 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. [2026-01-03T14:19:26.495Z] The best model improves the baseline by 14.52%. [2026-01-03T14:19:27.449Z] Top recommended movies for user id 72: [2026-01-03T14:19:27.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:19:27.449Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:19:27.449Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:19:27.449Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:19:27.449Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:19:27.449Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24594.532 ms) ====== [2026-01-03T14:19:27.449Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T14:19:27.449Z] GC before operation: completed in 245.455 ms, heap usage 193.547 MB -> 90.610 MB. [2026-01-03T14:19:30.490Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:19:33.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:19:37.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:19:40.833Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:19:42.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:19:44.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:19:46.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:19:48.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:19:48.681Z] 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. [2026-01-03T14:19:48.681Z] The best model improves the baseline by 14.52%. [2026-01-03T14:19:48.681Z] Top recommended movies for user id 72: [2026-01-03T14:19:48.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:19:48.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:19:48.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:19:48.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:19:48.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:19:48.681Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21758.520 ms) ====== [2026-01-03T14:19:48.681Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T14:19:49.638Z] GC before operation: completed in 158.354 ms, heap usage 362.899 MB -> 89.665 MB. [2026-01-03T14:19:52.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:19:55.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:19:58.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:20:01.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:20:03.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:20:05.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:20:09.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:20:11.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:20:11.272Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T14:20:11.272Z] The best model improves the baseline by 14.52%. [2026-01-03T14:20:11.272Z] Top recommended movies for user id 72: [2026-01-03T14:20:11.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:20:11.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:20:11.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:20:11.272Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:20:11.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:20:11.272Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22319.529 ms) ====== [2026-01-03T14:20:11.272Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T14:20:11.272Z] GC before operation: completed in 169.510 ms, heap usage 374.021 MB -> 89.938 MB. [2026-01-03T14:20:15.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:20:18.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:20:22.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:20:25.903Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:20:27.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:20:29.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:20:32.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:20:33.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:20:34.555Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T14:20:34.555Z] The best model improves the baseline by 14.52%. [2026-01-03T14:20:34.555Z] Top recommended movies for user id 72: [2026-01-03T14:20:34.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:20:34.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:20:34.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:20:34.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:20:34.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:20:34.555Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22966.843 ms) ====== [2026-01-03T14:20:34.555Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T14:20:34.555Z] GC before operation: completed in 173.535 ms, heap usage 150.046 MB -> 89.537 MB. [2026-01-03T14:20:38.787Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:20:40.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:20:43.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:20:46.869Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:20:48.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:20:50.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:20:52.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:20:54.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:20:54.770Z] 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. [2026-01-03T14:20:54.770Z] The best model improves the baseline by 14.52%. [2026-01-03T14:20:55.723Z] Top recommended movies for user id 72: [2026-01-03T14:20:55.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:20:55.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:20:55.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:20:55.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:20:55.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:20:55.723Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20481.990 ms) ====== [2026-01-03T14:20:55.723Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T14:20:55.723Z] GC before operation: completed in 164.535 ms, heap usage 102.372 MB -> 90.098 MB. [2026-01-03T14:20:58.752Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:21:01.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:21:04.812Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:21:07.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:21:09.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:21:11.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:21:13.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:21:14.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:21:15.672Z] 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. [2026-01-03T14:21:15.672Z] The best model improves the baseline by 14.52%. [2026-01-03T14:21:15.672Z] Top recommended movies for user id 72: [2026-01-03T14:21:15.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:21:15.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:21:15.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:21:15.672Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:21:15.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:21:15.672Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20167.339 ms) ====== [2026-01-03T14:21:15.672Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T14:21:15.672Z] GC before operation: completed in 167.776 ms, heap usage 208.421 MB -> 89.969 MB. [2026-01-03T14:21:18.701Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:21:21.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:21:24.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:21:27.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:21:28.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:21:30.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:21:32.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:21:34.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:21:34.900Z] 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. [2026-01-03T14:21:34.900Z] The best model improves the baseline by 14.52%. [2026-01-03T14:21:34.900Z] Top recommended movies for user id 72: [2026-01-03T14:21:34.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:21:34.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:21:34.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:21:34.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:21:34.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:21:34.900Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19395.625 ms) ====== [2026-01-03T14:21:34.900Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T14:21:35.866Z] GC before operation: completed in 254.335 ms, heap usage 428.829 MB -> 90.545 MB. [2026-01-03T14:21:38.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:21:41.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:21:44.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:21:47.496Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:21:49.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:21:51.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:21:53.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:21:54.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:21:55.303Z] 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. [2026-01-03T14:21:55.303Z] The best model improves the baseline by 14.52%. [2026-01-03T14:21:55.303Z] Top recommended movies for user id 72: [2026-01-03T14:21:55.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:21:55.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:21:55.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:21:55.303Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:21:55.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:21:55.303Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19788.622 ms) ====== [2026-01-03T14:21:55.303Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T14:21:55.303Z] GC before operation: completed in 267.717 ms, heap usage 293.669 MB -> 90.140 MB. [2026-01-03T14:21:58.416Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:22:01.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:22:04.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:22:07.529Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:22:09.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:22:11.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:22:12.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:22:14.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:22:15.396Z] 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. [2026-01-03T14:22:15.396Z] The best model improves the baseline by 14.52%. [2026-01-03T14:22:15.396Z] Top recommended movies for user id 72: [2026-01-03T14:22:15.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:22:15.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:22:15.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:22:15.396Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:22:15.396Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:22:15.396Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19743.518 ms) ====== [2026-01-03T14:22:15.397Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T14:22:15.397Z] GC before operation: completed in 161.112 ms, heap usage 95.715 MB -> 90.563 MB. [2026-01-03T14:22:18.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:22:21.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:22:24.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:22:27.656Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:22:28.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:22:30.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:22:32.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:22:34.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:22:34.527Z] 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. [2026-01-03T14:22:34.527Z] The best model improves the baseline by 14.52%. [2026-01-03T14:22:34.527Z] Top recommended movies for user id 72: [2026-01-03T14:22:34.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:22:34.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:22:34.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:22:34.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:22:34.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:22:34.527Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19472.354 ms) ====== [2026-01-03T14:22:34.527Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T14:22:35.481Z] GC before operation: completed in 241.959 ms, heap usage 135.784 MB -> 91.670 MB. [2026-01-03T14:22:38.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:22:41.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:22:44.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:22:46.599Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:22:48.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:22:50.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:22:52.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:22:55.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:22:55.344Z] 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. [2026-01-03T14:22:55.344Z] The best model improves the baseline by 14.52%. [2026-01-03T14:22:55.344Z] Top recommended movies for user id 72: [2026-01-03T14:22:55.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:22:55.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:22:55.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:22:55.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:22:55.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:22:55.345Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19539.232 ms) ====== [2026-01-03T14:22:55.345Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T14:22:55.345Z] GC before operation: completed in 186.060 ms, heap usage 150.471 MB -> 90.081 MB. [2026-01-03T14:22:57.323Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:23:00.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:23:03.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:23:06.415Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:23:07.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:23:09.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:23:11.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:23:12.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:23:13.225Z] 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. [2026-01-03T14:23:13.225Z] The best model improves the baseline by 14.52%. [2026-01-03T14:23:13.225Z] Top recommended movies for user id 72: [2026-01-03T14:23:13.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:23:13.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:23:13.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:23:13.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:23:13.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:23:13.225Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18289.891 ms) ====== [2026-01-03T14:23:13.225Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T14:23:13.225Z] GC before operation: completed in 184.032 ms, heap usage 748.493 MB -> 94.225 MB. [2026-01-03T14:23:16.259Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:23:19.288Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:23:22.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:23:24.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:23:26.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:23:27.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:23:29.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:23:31.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:23:31.290Z] 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. [2026-01-03T14:23:31.290Z] The best model improves the baseline by 14.52%. [2026-01-03T14:23:31.290Z] Top recommended movies for user id 72: [2026-01-03T14:23:31.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:23:31.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:23:31.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:23:31.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:23:31.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:23:31.290Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18060.667 ms) ====== [2026-01-03T14:23:31.290Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T14:23:31.290Z] GC before operation: completed in 178.735 ms, heap usage 753.253 MB -> 94.129 MB. [2026-01-03T14:23:34.328Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:23:37.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:23:39.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:23:42.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:23:44.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:23:46.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:23:48.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:23:49.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:23:50.161Z] 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. [2026-01-03T14:23:50.161Z] The best model improves the baseline by 14.52%. [2026-01-03T14:23:50.161Z] Top recommended movies for user id 72: [2026-01-03T14:23:50.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:23:50.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:23:50.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:23:50.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:23:50.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:23:50.161Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18561.202 ms) ====== [2026-01-03T14:23:50.161Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T14:23:50.161Z] GC before operation: completed in 313.819 ms, heap usage 290.980 MB -> 90.487 MB. [2026-01-03T14:23:53.195Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:23:56.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:23:59.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:24:02.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:24:04.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:24:05.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:24:07.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:24:09.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:24:09.852Z] 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. [2026-01-03T14:24:09.852Z] The best model improves the baseline by 14.52%. [2026-01-03T14:24:09.852Z] Top recommended movies for user id 72: [2026-01-03T14:24:09.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:24:09.852Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:24:09.852Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:24:09.852Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:24:09.852Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:24:09.852Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19491.664 ms) ====== [2026-01-03T14:24:09.852Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T14:24:09.852Z] GC before operation: completed in 203.664 ms, heap usage 449.699 MB -> 90.528 MB. [2026-01-03T14:24:12.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:24:15.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:24:18.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:24:21.966Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:24:23.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:24:25.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:24:27.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:24:28.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:24:29.919Z] 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. [2026-01-03T14:24:29.919Z] The best model improves the baseline by 14.52%. [2026-01-03T14:24:29.919Z] Top recommended movies for user id 72: [2026-01-03T14:24:29.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:24:29.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:24:29.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:24:29.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:24:29.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:24:29.919Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19632.813 ms) ====== [2026-01-03T14:24:29.919Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T14:24:29.919Z] GC before operation: completed in 177.274 ms, heap usage 261.051 MB -> 90.464 MB. [2026-01-03T14:24:32.946Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:24:35.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:24:37.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:24:40.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:24:42.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:24:44.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:24:46.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:24:47.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:24:48.743Z] 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. [2026-01-03T14:24:48.743Z] The best model improves the baseline by 14.52%. [2026-01-03T14:24:48.743Z] Top recommended movies for user id 72: [2026-01-03T14:24:48.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:24:48.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:24:48.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:24:48.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:24:48.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:24:48.743Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18772.278 ms) ====== [2026-01-03T14:24:48.743Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T14:24:48.743Z] GC before operation: completed in 186.256 ms, heap usage 290.166 MB -> 90.227 MB. [2026-01-03T14:24:51.767Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:24:54.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:24:57.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:24:59.816Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:25:01.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:25:03.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:25:05.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:25:07.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:25:07.671Z] 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. [2026-01-03T14:25:07.671Z] The best model improves the baseline by 14.52%. [2026-01-03T14:25:07.671Z] Top recommended movies for user id 72: [2026-01-03T14:25:07.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:25:07.671Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:25:07.671Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:25:07.671Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:25:07.671Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:25:07.671Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18715.009 ms) ====== [2026-01-03T14:25:07.671Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T14:25:07.671Z] GC before operation: completed in 202.164 ms, heap usage 412.631 MB -> 90.373 MB. [2026-01-03T14:25:10.708Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:25:13.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:25:16.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:25:19.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:25:21.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:25:22.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:25:24.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:25:26.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:25:26.270Z] 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. [2026-01-03T14:25:26.270Z] The best model improves the baseline by 14.52%. [2026-01-03T14:25:27.227Z] Top recommended movies for user id 72: [2026-01-03T14:25:27.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T14:25:27.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T14:25:27.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T14:25:27.228Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T14:25:27.228Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T14:25:27.228Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18891.635 ms) ====== [2026-01-03T14:25:28.181Z] ----------------------------------- [2026-01-03T14:25:28.181Z] renaissance-movie-lens_0_PASSED [2026-01-03T14:25:28.181Z] ----------------------------------- [2026-01-03T14:25:28.181Z] [2026-01-03T14:25:28.181Z] TEST TEARDOWN: [2026-01-03T14:25:28.181Z] Nothing to be done for teardown. [2026-01-03T14:25:28.181Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 14:25:27 2026 Epoch Time (ms): 1767450327258