[2026-02-28T22:42:08.538Z] Running test renaissance-movie-lens_0 ... [2026-02-28T22:42:08.538Z] =============================================== [2026-02-28T22:42:08.538Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 22:42:08 2026 Epoch Time (ms): 1772318528366 [2026-02-28T22:42:08.538Z] variation: NoOptions [2026-02-28T22:42:08.538Z] JVM_OPTIONS: [2026-02-28T22:42:08.538Z] { \ [2026-02-28T22:42:08.538Z] echo ""; echo "TEST SETUP:"; \ [2026-02-28T22:42:08.538Z] echo "Nothing to be done for setup."; \ [2026-02-28T22:42:08.538Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17723177526291/renaissance-movie-lens_0"; \ [2026-02-28T22:42:08.538Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17723177526291/renaissance-movie-lens_0"; \ [2026-02-28T22:42:08.539Z] echo ""; echo "TESTING:"; \ [2026-02-28T22:42:08.539Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17723177526291/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-28T22:42:08.539Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17723177526291/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-28T22:42:08.539Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-28T22:42:08.539Z] echo "Nothing to be done for teardown."; \ [2026-02-28T22:42:08.539Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17723177526291/TestTargetResult"; [2026-02-28T22:42:08.539Z] [2026-02-28T22:42:08.539Z] TEST SETUP: [2026-02-28T22:42:08.539Z] Nothing to be done for setup. [2026-02-28T22:42:08.539Z] [2026-02-28T22:42:08.539Z] TESTING: [2026-02-28T22:42:08.878Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-28T22:42:08.878Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17723177526291/renaissance-movie-lens_0/launcher-224208-9005955457582142554/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-28T22:42:08.878Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-28T22:42:08.878Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-28T22:42:12.658Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-28T22:42:18.585Z] 22:42:18.511 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. [2026-02-28T22:42:20.834Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-28T22:42:21.540Z] Training: 60056, validation: 20285, test: 19854 [2026-02-28T22:42:21.540Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-28T22:42:21.540Z] GC before operation: completed in 117.564 ms, heap usage 246.621 MB -> 75.598 MB. [2026-02-28T22:42:28.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:42:31.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:42:34.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:42:37.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:42:38.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:42:40.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:42:42.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:42:43.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:42:43.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:42:43.801Z] The best model improves the baseline by 14.52%. [2026-02-28T22:42:44.135Z] Top recommended movies for user id 72: [2026-02-28T22:42:44.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:42:44.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:42:44.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:42:44.135Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:42:44.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:42:44.135Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22573.931 ms) ====== [2026-02-28T22:42:44.135Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-28T22:42:44.135Z] GC before operation: completed in 147.377 ms, heap usage 311.431 MB -> 86.272 MB. [2026-02-28T22:42:46.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:42:49.355Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:42:51.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:42:53.286Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:42:54.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:42:56.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:42:57.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:42:58.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:42:58.743Z] 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. [2026-02-28T22:42:58.743Z] The best model improves the baseline by 14.52%. [2026-02-28T22:42:58.743Z] Top recommended movies for user id 72: [2026-02-28T22:42:58.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:42:58.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:42:58.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:42:58.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:42:58.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:42:58.743Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14658.136 ms) ====== [2026-02-28T22:42:58.743Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-28T22:42:59.070Z] GC before operation: completed in 128.812 ms, heap usage 124.789 MB -> 88.988 MB. [2026-02-28T22:43:01.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:43:02.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:43:05.241Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:43:06.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:43:08.041Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:43:09.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:43:10.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:43:11.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:43:11.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:43:11.910Z] The best model improves the baseline by 14.52%. [2026-02-28T22:43:11.910Z] Top recommended movies for user id 72: [2026-02-28T22:43:11.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:43:11.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:43:11.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:43:11.910Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:43:11.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:43:11.910Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12962.805 ms) ====== [2026-02-28T22:43:11.910Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-28T22:43:12.239Z] GC before operation: completed in 137.389 ms, heap usage 261.039 MB -> 89.160 MB. [2026-02-28T22:43:13.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:43:15.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:43:17.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:43:19.597Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:43:20.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:43:21.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:43:23.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:43:24.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:43:24.509Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:43:24.509Z] The best model improves the baseline by 14.52%. [2026-02-28T22:43:24.509Z] Top recommended movies for user id 72: [2026-02-28T22:43:24.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:43:24.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:43:24.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:43:24.509Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:43:24.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:43:24.509Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12520.112 ms) ====== [2026-02-28T22:43:24.509Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-28T22:43:24.838Z] GC before operation: completed in 144.208 ms, heap usage 741.895 MB -> 93.207 MB. [2026-02-28T22:43:27.090Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:43:28.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:43:31.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:43:32.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:43:33.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:43:34.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:43:36.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:43:37.413Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:43:37.741Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:43:37.741Z] The best model improves the baseline by 14.52%. [2026-02-28T22:43:37.741Z] Top recommended movies for user id 72: [2026-02-28T22:43:37.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:43:37.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:43:37.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:43:37.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:43:37.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:43:37.741Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13140.092 ms) ====== [2026-02-28T22:43:37.741Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-28T22:43:38.070Z] GC before operation: completed in 129.065 ms, heap usage 192.349 MB -> 89.270 MB. [2026-02-28T22:43:40.325Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:43:41.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:43:44.239Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:43:45.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:43:47.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:43:48.697Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:43:49.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:43:50.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:43:51.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:43:51.322Z] The best model improves the baseline by 14.52%. [2026-02-28T22:43:51.322Z] Top recommended movies for user id 72: [2026-02-28T22:43:51.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:43:51.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:43:51.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:43:51.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:43:51.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:43:51.322Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13320.258 ms) ====== [2026-02-28T22:43:51.322Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-28T22:43:51.322Z] GC before operation: completed in 133.734 ms, heap usage 438.891 MB -> 89.918 MB. [2026-02-28T22:43:53.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:43:55.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:43:57.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:43:59.145Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:44:00.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:44:01.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:44:03.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:44:04.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:44:04.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:44:04.338Z] The best model improves the baseline by 14.52%. [2026-02-28T22:44:04.679Z] Top recommended movies for user id 72: [2026-02-28T22:44:04.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:44:04.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:44:04.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:44:04.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:44:04.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:44:04.679Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13137.360 ms) ====== [2026-02-28T22:44:04.679Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-28T22:44:04.679Z] GC before operation: completed in 187.855 ms, heap usage 168.471 MB -> 89.579 MB. [2026-02-28T22:44:06.953Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:44:08.614Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:44:10.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:44:12.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:44:13.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:44:14.852Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:44:16.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:44:17.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:44:17.671Z] 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. [2026-02-28T22:44:17.671Z] The best model improves the baseline by 14.52%. [2026-02-28T22:44:17.999Z] Top recommended movies for user id 72: [2026-02-28T22:44:17.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:44:17.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:44:17.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:44:17.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:44:17.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:44:17.999Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13146.087 ms) ====== [2026-02-28T22:44:17.999Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-28T22:44:17.999Z] GC before operation: completed in 160.076 ms, heap usage 177.402 MB -> 89.860 MB. [2026-02-28T22:44:20.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:44:21.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:44:24.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:44:25.811Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:44:26.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:44:28.616Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:44:29.876Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:44:30.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:44:30.913Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:44:30.913Z] The best model improves the baseline by 14.52%. [2026-02-28T22:44:31.243Z] Top recommended movies for user id 72: [2026-02-28T22:44:31.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:44:31.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:44:31.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:44:31.243Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:44:31.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:44:31.243Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13065.339 ms) ====== [2026-02-28T22:44:31.243Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-28T22:44:31.243Z] GC before operation: completed in 153.796 ms, heap usage 191.082 MB -> 89.769 MB. [2026-02-28T22:44:33.497Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:44:35.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:44:37.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:44:39.057Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:44:40.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:44:41.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:44:43.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:44:44.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:44:44.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:44:44.220Z] The best model improves the baseline by 14.52%. [2026-02-28T22:44:44.575Z] Top recommended movies for user id 72: [2026-02-28T22:44:44.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:44:44.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:44:44.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:44:44.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:44:44.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:44:44.575Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13086.409 ms) ====== [2026-02-28T22:44:44.575Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-28T22:44:44.575Z] GC before operation: completed in 155.012 ms, heap usage 178.576 MB -> 89.969 MB. [2026-02-28T22:44:46.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:44:48.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:44:50.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:44:52.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:44:53.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:44:54.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:44:56.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:44:57.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:44:57.434Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:44:57.434Z] The best model improves the baseline by 14.52%. [2026-02-28T22:44:57.434Z] Top recommended movies for user id 72: [2026-02-28T22:44:57.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:44:57.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:44:57.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:44:57.434Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:44:57.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:44:57.434Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13005.236 ms) ====== [2026-02-28T22:44:57.434Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-28T22:44:57.763Z] GC before operation: completed in 131.229 ms, heap usage 104.585 MB -> 93.465 MB. [2026-02-28T22:45:00.050Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:45:01.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:45:03.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:45:05.051Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:45:06.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:45:07.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:45:08.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:45:09.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:45:09.626Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:45:09.626Z] The best model improves the baseline by 14.52%. [2026-02-28T22:45:09.626Z] Top recommended movies for user id 72: [2026-02-28T22:45:09.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:45:09.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:45:09.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:45:09.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:45:09.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:45:09.627Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12036.955 ms) ====== [2026-02-28T22:45:09.627Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-28T22:45:09.963Z] GC before operation: completed in 141.694 ms, heap usage 1008.677 MB -> 95.092 MB. [2026-02-28T22:45:12.222Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:45:13.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:45:16.144Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:45:17.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:45:18.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:45:20.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:45:21.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:45:22.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:45:22.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:45:22.407Z] The best model improves the baseline by 14.52%. [2026-02-28T22:45:22.737Z] Top recommended movies for user id 72: [2026-02-28T22:45:22.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:45:22.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:45:22.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:45:22.737Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:45:22.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:45:22.737Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12738.932 ms) ====== [2026-02-28T22:45:22.737Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-28T22:45:22.737Z] GC before operation: completed in 175.938 ms, heap usage 264.474 MB -> 90.237 MB. [2026-02-28T22:45:25.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:45:26.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:45:28.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:45:30.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:45:31.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:45:32.371Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:45:33.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:45:34.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:45:35.003Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:45:35.003Z] The best model improves the baseline by 14.52%. [2026-02-28T22:45:35.003Z] Top recommended movies for user id 72: [2026-02-28T22:45:35.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:45:35.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:45:35.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:45:35.003Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:45:35.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:45:35.003Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12176.167 ms) ====== [2026-02-28T22:45:35.003Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-28T22:45:35.003Z] GC before operation: completed in 165.691 ms, heap usage 301.763 MB -> 90.039 MB. [2026-02-28T22:45:37.263Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:45:38.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:45:40.592Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:45:42.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:45:43.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:45:44.543Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:45:45.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:45:46.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:45:46.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:45:46.737Z] The best model improves the baseline by 14.52%. [2026-02-28T22:45:47.066Z] Top recommended movies for user id 72: [2026-02-28T22:45:47.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:45:47.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:45:47.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:45:47.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:45:47.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:45:47.066Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11808.616 ms) ====== [2026-02-28T22:45:47.066Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-28T22:45:47.066Z] GC before operation: completed in 144.304 ms, heap usage 303.308 MB -> 90.298 MB. [2026-02-28T22:45:49.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:45:51.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:45:52.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:45:55.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:45:55.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:45:56.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:45:58.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:45:59.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:45:59.691Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:45:59.691Z] The best model improves the baseline by 14.52%. [2026-02-28T22:46:00.019Z] Top recommended movies for user id 72: [2026-02-28T22:46:00.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:46:00.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:46:00.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:46:00.019Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:46:00.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:46:00.019Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12865.025 ms) ====== [2026-02-28T22:46:00.019Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-28T22:46:00.019Z] GC before operation: completed in 146.597 ms, heap usage 294.684 MB -> 90.196 MB. [2026-02-28T22:46:02.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:46:03.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:46:06.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:46:07.866Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:46:09.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:46:10.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:46:11.318Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:46:12.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:46:12.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:46:12.801Z] The best model improves the baseline by 14.52%. [2026-02-28T22:46:12.801Z] Top recommended movies for user id 72: [2026-02-28T22:46:12.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:46:12.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:46:12.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:46:12.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:46:12.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:46:12.801Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12750.844 ms) ====== [2026-02-28T22:46:12.801Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-28T22:46:13.130Z] GC before operation: completed in 130.626 ms, heap usage 357.410 MB -> 90.342 MB. [2026-02-28T22:46:14.788Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:46:17.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:46:18.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:46:20.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:46:21.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:46:22.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:46:23.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:46:24.566Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:46:24.894Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:46:24.894Z] The best model improves the baseline by 14.52%. [2026-02-28T22:46:24.894Z] Top recommended movies for user id 72: [2026-02-28T22:46:24.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:46:24.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:46:24.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:46:24.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:46:24.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:46:24.894Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12042.142 ms) ====== [2026-02-28T22:46:24.894Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-28T22:46:25.224Z] GC before operation: completed in 136.330 ms, heap usage 760.387 MB -> 93.986 MB. [2026-02-28T22:46:26.887Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:46:29.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:46:30.811Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:46:32.473Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:46:33.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:46:34.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:46:35.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:46:37.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:46:37.409Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:46:37.409Z] The best model improves the baseline by 14.52%. [2026-02-28T22:46:37.409Z] Top recommended movies for user id 72: [2026-02-28T22:46:37.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:46:37.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:46:37.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:46:37.409Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:46:37.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:46:37.409Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12222.929 ms) ====== [2026-02-28T22:46:37.409Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-28T22:46:37.409Z] GC before operation: completed in 120.686 ms, heap usage 363.499 MB -> 90.387 MB. [2026-02-28T22:46:39.668Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T22:46:41.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T22:46:43.613Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T22:46:45.351Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T22:46:46.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T22:46:47.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T22:46:48.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T22:46:49.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T22:46:50.292Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T22:46:50.292Z] The best model improves the baseline by 14.52%. [2026-02-28T22:46:50.292Z] Top recommended movies for user id 72: [2026-02-28T22:46:50.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T22:46:50.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T22:46:50.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T22:46:50.292Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T22:46:50.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T22:46:50.292Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12934.412 ms) ====== [2026-02-28T22:46:51.440Z] ----------------------------------- [2026-02-28T22:46:51.440Z] renaissance-movie-lens_0_PASSED [2026-02-28T22:46:51.440Z] ----------------------------------- [2026-02-28T22:46:51.440Z] [2026-02-28T22:46:51.440Z] TEST TEARDOWN: [2026-02-28T22:46:51.440Z] Nothing to be done for teardown. [2026-02-28T22:46:51.440Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 22:46:51 2026 Epoch Time (ms): 1772318811097