[2026-03-06T01:27:08.950Z] Running test renaissance-movie-lens_0 ... [2026-03-06T01:27:08.950Z] =============================================== [2026-03-06T01:27:08.950Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 01:27:08 2026 Epoch Time (ms): 1772760428707 [2026-03-06T01:27:08.950Z] variation: NoOptions [2026-03-06T01:27:08.950Z] JVM_OPTIONS: [2026-03-06T01:27:08.950Z] { \ [2026-03-06T01:27:08.950Z] echo ""; echo "TEST SETUP:"; \ [2026-03-06T01:27:08.950Z] echo "Nothing to be done for setup."; \ [2026-03-06T01:27:08.950Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727591674224/renaissance-movie-lens_0"; \ [2026-03-06T01:27:08.950Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727591674224/renaissance-movie-lens_0"; \ [2026-03-06T01:27:08.950Z] echo ""; echo "TESTING:"; \ [2026-03-06T01:27:08.950Z] "/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_17727591674224/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-06T01:27:08.950Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727591674224/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-06T01:27:08.950Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-06T01:27:08.950Z] echo "Nothing to be done for teardown."; \ [2026-03-06T01:27:08.950Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17727591674224/TestTargetResult"; [2026-03-06T01:27:08.950Z] [2026-03-06T01:27:08.950Z] TEST SETUP: [2026-03-06T01:27:08.950Z] Nothing to be done for setup. [2026-03-06T01:27:08.950Z] [2026-03-06T01:27:08.950Z] TESTING: [2026-03-06T01:27:09.728Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-06T01:27:09.728Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17727591674224/renaissance-movie-lens_0/launcher-012708-18206010160691548055/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-06T01:27:09.728Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-06T01:27:09.728Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-06T01:27:17.336Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-06T01:27:26.761Z] 01:27:26.197 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-06T01:27:29.300Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-06T01:27:30.099Z] Training: 60056, validation: 20285, test: 19854 [2026-03-06T01:27:30.099Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-06T01:27:30.099Z] GC before operation: completed in 135.367 ms, heap usage 185.475 MB -> 75.585 MB. [2026-03-06T01:27:39.600Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:27:42.862Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:27:47.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:27:52.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:27:53.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:27:56.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:27:59.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:28:00.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:28:01.284Z] 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. [2026-03-06T01:28:01.284Z] The best model improves the baseline by 14.52%. [2026-03-06T01:28:01.658Z] Top recommended movies for user id 72: [2026-03-06T01:28:01.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:28:01.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:28:01.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:28:01.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:28:01.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:28:01.658Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31543.948 ms) ====== [2026-03-06T01:28:01.658Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-06T01:28:02.027Z] GC before operation: completed in 155.322 ms, heap usage 217.445 MB -> 90.750 MB. [2026-03-06T01:28:06.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:28:09.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:28:13.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:28:16.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:28:18.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:28:21.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:28:23.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:28:25.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:28:25.539Z] 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. [2026-03-06T01:28:25.539Z] The best model improves the baseline by 14.52%. [2026-03-06T01:28:25.539Z] Top recommended movies for user id 72: [2026-03-06T01:28:25.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:28:25.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:28:25.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:28:25.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:28:25.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:28:25.539Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23722.410 ms) ====== [2026-03-06T01:28:25.539Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-06T01:28:25.907Z] GC before operation: completed in 137.088 ms, heap usage 391.641 MB -> 88.671 MB. [2026-03-06T01:28:29.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:28:32.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:28:36.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:28:38.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:28:41.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:28:43.303Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:28:45.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:28:46.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:28:47.367Z] 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. [2026-03-06T01:28:47.367Z] The best model improves the baseline by 14.52%. [2026-03-06T01:28:47.729Z] Top recommended movies for user id 72: [2026-03-06T01:28:47.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:28:47.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:28:47.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:28:47.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:28:47.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:28:47.729Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21933.003 ms) ====== [2026-03-06T01:28:47.729Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-06T01:28:47.729Z] GC before operation: completed in 134.187 ms, heap usage 371.957 MB -> 89.311 MB. [2026-03-06T01:28:51.000Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:28:54.239Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:28:56.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:28:59.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:29:01.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:29:04.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:29:06.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:29:08.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:29:08.032Z] 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. [2026-03-06T01:29:08.032Z] The best model improves the baseline by 14.52%. [2026-03-06T01:29:08.426Z] Top recommended movies for user id 72: [2026-03-06T01:29:08.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:29:08.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:29:08.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:29:08.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:29:08.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:29:08.426Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20435.315 ms) ====== [2026-03-06T01:29:08.426Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-06T01:29:08.426Z] GC before operation: completed in 138.162 ms, heap usage 367.463 MB -> 89.629 MB. [2026-03-06T01:29:11.609Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:29:14.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:29:18.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:29:21.382Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:29:23.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:29:25.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:29:27.515Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:29:29.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:29:29.780Z] 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. [2026-03-06T01:29:29.780Z] The best model improves the baseline by 14.52%. [2026-03-06T01:29:29.780Z] Top recommended movies for user id 72: [2026-03-06T01:29:29.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:29:29.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:29:29.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:29:29.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:29:29.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:29:29.780Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21460.717 ms) ====== [2026-03-06T01:29:29.780Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-06T01:29:30.147Z] GC before operation: completed in 139.195 ms, heap usage 145.516 MB -> 89.685 MB. [2026-03-06T01:29:33.385Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:29:36.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:29:39.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:29:43.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:29:44.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:29:46.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:29:48.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:29:50.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:29:50.841Z] 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. [2026-03-06T01:29:50.841Z] The best model improves the baseline by 14.52%. [2026-03-06T01:29:51.250Z] Top recommended movies for user id 72: [2026-03-06T01:29:51.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:29:51.250Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:29:51.250Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:29:51.250Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:29:51.250Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:29:51.250Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21000.950 ms) ====== [2026-03-06T01:29:51.250Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-06T01:29:51.250Z] GC before operation: completed in 140.103 ms, heap usage 289.121 MB -> 89.873 MB. [2026-03-06T01:29:54.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:29:56.947Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:30:00.167Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:30:03.685Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:30:05.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:30:07.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:30:09.164Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:30:11.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:30:11.027Z] 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. [2026-03-06T01:30:11.027Z] The best model improves the baseline by 14.52%. [2026-03-06T01:30:11.396Z] Top recommended movies for user id 72: [2026-03-06T01:30:11.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:30:11.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:30:11.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:30:11.396Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:30:11.396Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:30:11.396Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20130.866 ms) ====== [2026-03-06T01:30:11.396Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T01:30:11.396Z] GC before operation: completed in 143.921 ms, heap usage 289.959 MB -> 89.724 MB. [2026-03-06T01:30:14.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:30:17.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:30:20.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:30:23.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:30:25.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:30:27.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:30:28.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:30:30.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:30:31.175Z] 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. [2026-03-06T01:30:31.175Z] The best model improves the baseline by 14.52%. [2026-03-06T01:30:31.175Z] Top recommended movies for user id 72: [2026-03-06T01:30:31.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:30:31.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:30:31.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:30:31.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:30:31.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:30:31.175Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19861.642 ms) ====== [2026-03-06T01:30:31.175Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T01:30:31.543Z] GC before operation: completed in 147.322 ms, heap usage 288.286 MB -> 89.935 MB. [2026-03-06T01:30:34.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:30:37.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:30:40.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:30:43.700Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:30:45.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:30:47.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:30:48.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:30:50.575Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:30:50.938Z] 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. [2026-03-06T01:30:50.938Z] The best model improves the baseline by 14.52%. [2026-03-06T01:30:51.304Z] Top recommended movies for user id 72: [2026-03-06T01:30:51.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:30:51.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:30:51.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:30:51.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:30:51.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:30:51.304Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19858.901 ms) ====== [2026-03-06T01:30:51.304Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T01:30:51.304Z] GC before operation: completed in 146.009 ms, heap usage 475.336 MB -> 90.071 MB. [2026-03-06T01:30:54.513Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:30:57.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:31:00.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:31:03.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:31:05.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:31:07.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:31:08.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:31:11.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:31:11.448Z] 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. [2026-03-06T01:31:11.448Z] The best model improves the baseline by 14.52%. [2026-03-06T01:31:11.448Z] Top recommended movies for user id 72: [2026-03-06T01:31:11.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:31:11.448Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:31:11.448Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:31:11.448Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:31:11.448Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:31:11.448Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20023.753 ms) ====== [2026-03-06T01:31:11.448Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T01:31:11.809Z] GC before operation: completed in 140.866 ms, heap usage 541.052 MB -> 93.548 MB. [2026-03-06T01:31:15.099Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:31:17.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:31:20.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:31:23.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:31:25.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:31:27.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:31:28.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:31:30.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:31:30.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:31:31.255Z] The best model improves the baseline by 14.52%. [2026-03-06T01:31:31.255Z] Top recommended movies for user id 72: [2026-03-06T01:31:31.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:31:31.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:31:31.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:31:31.255Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:31:31.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:31:31.255Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19659.335 ms) ====== [2026-03-06T01:31:31.255Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T01:31:31.624Z] GC before operation: completed in 145.486 ms, heap usage 289.716 MB -> 89.745 MB. [2026-03-06T01:31:34.831Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:31:37.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:31:40.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:31:42.907Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:31:44.736Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:31:46.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:31:48.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:31:50.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:31:50.614Z] 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. [2026-03-06T01:31:50.614Z] The best model improves the baseline by 14.52%. [2026-03-06T01:31:50.978Z] Top recommended movies for user id 72: [2026-03-06T01:31:50.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:31:50.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:31:50.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:31:50.978Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:31:50.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:31:50.978Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19555.936 ms) ====== [2026-03-06T01:31:50.978Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T01:31:50.978Z] GC before operation: completed in 136.093 ms, heap usage 356.722 MB -> 90.116 MB. [2026-03-06T01:31:54.186Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:31:56.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:31:59.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:32:02.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:32:04.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:32:06.595Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:32:08.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:32:10.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:32:10.327Z] 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. [2026-03-06T01:32:10.328Z] The best model improves the baseline by 14.52%. [2026-03-06T01:32:10.701Z] Top recommended movies for user id 72: [2026-03-06T01:32:10.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:32:10.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:32:10.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:32:10.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:32:10.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:32:10.701Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19372.706 ms) ====== [2026-03-06T01:32:10.701Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T01:32:10.701Z] GC before operation: completed in 137.114 ms, heap usage 299.872 MB -> 90.157 MB. [2026-03-06T01:32:13.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:32:16.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:32:19.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:32:22.831Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:32:24.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:32:26.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:32:28.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:32:30.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:32:30.480Z] 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. [2026-03-06T01:32:30.480Z] The best model improves the baseline by 14.52%. [2026-03-06T01:32:30.480Z] Top recommended movies for user id 72: [2026-03-06T01:32:30.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:32:30.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:32:30.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:32:30.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:32:30.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:32:30.480Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19961.127 ms) ====== [2026-03-06T01:32:30.480Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T01:32:30.858Z] GC before operation: completed in 138.725 ms, heap usage 289.272 MB -> 89.968 MB. [2026-03-06T01:32:34.092Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:32:36.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:32:39.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:32:43.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:32:44.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:32:46.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:32:47.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:32:49.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:32:50.184Z] 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. [2026-03-06T01:32:50.184Z] The best model improves the baseline by 14.52%. [2026-03-06T01:32:50.548Z] Top recommended movies for user id 72: [2026-03-06T01:32:50.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:32:50.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:32:50.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:32:50.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:32:50.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:32:50.548Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19797.918 ms) ====== [2026-03-06T01:32:50.548Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T01:32:50.548Z] GC before operation: completed in 138.253 ms, heap usage 144.223 MB -> 93.215 MB. [2026-03-06T01:32:53.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:32:56.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:32:59.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:33:02.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:33:04.515Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:33:05.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:33:08.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:33:09.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:33:10.040Z] 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. [2026-03-06T01:33:10.040Z] The best model improves the baseline by 14.52%. [2026-03-06T01:33:10.431Z] Top recommended movies for user id 72: [2026-03-06T01:33:10.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:33:10.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:33:10.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:33:10.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:33:10.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:33:10.431Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19661.569 ms) ====== [2026-03-06T01:33:10.431Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T01:33:10.431Z] GC before operation: completed in 132.555 ms, heap usage 388.700 MB -> 90.162 MB. [2026-03-06T01:33:13.602Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:33:16.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:33:19.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:33:22.513Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:33:24.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:33:25.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:33:28.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:33:29.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:33:29.776Z] 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. [2026-03-06T01:33:29.776Z] The best model improves the baseline by 14.52%. [2026-03-06T01:33:30.154Z] Top recommended movies for user id 72: [2026-03-06T01:33:30.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:33:30.154Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:33:30.154Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:33:30.154Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:33:30.154Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:33:30.154Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19595.782 ms) ====== [2026-03-06T01:33:30.154Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T01:33:30.154Z] GC before operation: completed in 137.572 ms, heap usage 289.579 MB -> 90.144 MB. [2026-03-06T01:33:33.393Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:33:36.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:33:39.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:33:42.409Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:33:44.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:33:45.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:33:48.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:33:49.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:33:49.685Z] 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. [2026-03-06T01:33:50.077Z] The best model improves the baseline by 14.52%. [2026-03-06T01:33:50.077Z] Top recommended movies for user id 72: [2026-03-06T01:33:50.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:33:50.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:33:50.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:33:50.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:33:50.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:33:50.077Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19913.414 ms) ====== [2026-03-06T01:33:50.077Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T01:33:50.463Z] GC before operation: completed in 140.886 ms, heap usage 361.986 MB -> 89.988 MB. [2026-03-06T01:33:53.657Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:33:56.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:33:58.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:34:01.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:34:02.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:34:04.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:34:06.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:34:07.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:34:08.196Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:34:08.196Z] The best model improves the baseline by 14.52%. [2026-03-06T01:34:08.567Z] Top recommended movies for user id 72: [2026-03-06T01:34:08.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:34:08.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:34:08.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:34:08.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:34:08.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:34:08.567Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18183.689 ms) ====== [2026-03-06T01:34:08.567Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T01:34:08.567Z] GC before operation: completed in 146.865 ms, heap usage 421.132 MB -> 90.274 MB. [2026-03-06T01:34:11.780Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:34:14.213Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:34:17.432Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:34:19.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:34:21.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:34:23.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:34:24.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:34:26.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:34:26.798Z] 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. [2026-03-06T01:34:26.798Z] The best model improves the baseline by 14.52%. [2026-03-06T01:34:27.175Z] Top recommended movies for user id 72: [2026-03-06T01:34:27.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:34:27.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:34:27.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:34:27.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:34:27.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:34:27.175Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18454.300 ms) ====== [2026-03-06T01:34:27.573Z] ----------------------------------- [2026-03-06T01:34:27.573Z] renaissance-movie-lens_0_PASSED [2026-03-06T01:34:27.573Z] ----------------------------------- [2026-03-06T01:34:27.573Z] [2026-03-06T01:34:27.573Z] TEST TEARDOWN: [2026-03-06T01:34:27.573Z] Nothing to be done for teardown. [2026-03-06T01:34:27.573Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 01:34:27 2026 Epoch Time (ms): 1772760867507