[2026-01-21T12:07:36.478Z] Running test renaissance-movie-lens_0 ... [2026-01-21T12:07:36.478Z] =============================================== [2026-01-21T12:07:36.478Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 12:07:36 2026 Epoch Time (ms): 1768997256107 [2026-01-21T12:07:36.478Z] variation: NoOptions [2026-01-21T12:07:36.478Z] JVM_OPTIONS: [2026-01-21T12:07:36.478Z] { \ [2026-01-21T12:07:36.478Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T12:07:36.478Z] echo "Nothing to be done for setup."; \ [2026-01-21T12:07:36.478Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689963894637/renaissance-movie-lens_0"; \ [2026-01-21T12:07:36.478Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689963894637/renaissance-movie-lens_0"; \ [2026-01-21T12:07:36.478Z] echo ""; echo "TESTING:"; \ [2026-01-21T12:07:36.478Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689963894637/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T12:07:36.478Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689963894637/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T12:07:36.478Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T12:07:36.478Z] echo "Nothing to be done for teardown."; \ [2026-01-21T12:07:36.478Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689963894637/TestTargetResult"; [2026-01-21T12:07:36.478Z] [2026-01-21T12:07:36.478Z] TEST SETUP: [2026-01-21T12:07:36.478Z] Nothing to be done for setup. [2026-01-21T12:07:36.478Z] [2026-01-21T12:07:36.478Z] TESTING: [2026-01-21T12:07:37.449Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-21T12:07:37.449Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17689963894637/renaissance-movie-lens_0/launcher-120736-17068056456587748619/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-21T12:07:37.449Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-21T12:07:37.449Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-21T12:07:42.395Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T12:07:47.876Z] 12:07:47.515 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T12:07:49.863Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T12:07:50.832Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T12:07:50.832Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T12:07:50.832Z] GC before operation: completed in 122.357 ms, heap usage 235.128 MB -> 75.681 MB. [2026-01-21T12:07:55.055Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:07:58.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:08:01.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:08:03.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:08:05.239Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:08:07.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:08:08.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:08:10.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:08:10.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:08:10.210Z] The best model improves the baseline by 14.52%. [2026-01-21T12:08:10.210Z] Top recommended movies for user id 72: [2026-01-21T12:08:10.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:08:10.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:08:10.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:08:10.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:08:10.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:08:10.210Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20044.599 ms) ====== [2026-01-21T12:08:10.210Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T12:08:11.178Z] GC before operation: completed in 149.891 ms, heap usage 458.582 MB -> 95.627 MB. [2026-01-21T12:08:13.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:08:15.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:08:18.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:08:20.391Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:08:21.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:08:23.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:08:24.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:08:26.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:08:26.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:08:26.311Z] The best model improves the baseline by 14.52%. [2026-01-21T12:08:26.311Z] Top recommended movies for user id 72: [2026-01-21T12:08:26.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:08:26.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:08:26.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:08:26.311Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:08:26.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:08:26.311Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15707.585 ms) ====== [2026-01-21T12:08:26.311Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T12:08:26.311Z] GC before operation: completed in 120.196 ms, heap usage 235.323 MB -> 88.458 MB. [2026-01-21T12:08:28.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:08:31.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:08:33.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:08:35.424Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:08:36.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:08:38.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:08:39.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:08:41.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:08:41.439Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:08:41.439Z] The best model improves the baseline by 14.52%. [2026-01-21T12:08:41.439Z] Top recommended movies for user id 72: [2026-01-21T12:08:41.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:08:41.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:08:41.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:08:41.439Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:08:41.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:08:41.439Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14982.156 ms) ====== [2026-01-21T12:08:41.439Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T12:08:41.439Z] GC before operation: completed in 131.064 ms, heap usage 132.291 MB -> 89.000 MB. [2026-01-21T12:08:44.220Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:08:46.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:08:48.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:08:51.256Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:08:52.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:08:54.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:08:55.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:08:56.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:08:57.114Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:08:57.114Z] The best model improves the baseline by 14.52%. [2026-01-21T12:08:57.114Z] Top recommended movies for user id 72: [2026-01-21T12:08:57.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:08:57.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:08:57.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:08:57.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:08:57.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:08:57.114Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15322.171 ms) ====== [2026-01-21T12:08:57.114Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T12:08:57.114Z] GC before operation: completed in 106.212 ms, heap usage 181.162 MB -> 89.480 MB. [2026-01-21T12:08:59.148Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:09:02.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:09:04.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:09:06.185Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:09:08.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:09:09.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:09:11.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:09:12.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:09:12.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:09:12.102Z] The best model improves the baseline by 14.52%. [2026-01-21T12:09:12.102Z] Top recommended movies for user id 72: [2026-01-21T12:09:12.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:09:12.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:09:12.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:09:12.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:09:12.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:09:12.102Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15322.851 ms) ====== [2026-01-21T12:09:12.102Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T12:09:12.102Z] GC before operation: completed in 118.877 ms, heap usage 204.368 MB -> 89.383 MB. [2026-01-21T12:09:15.179Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:09:17.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:09:19.168Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:09:22.241Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:09:23.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:09:25.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:09:26.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:09:27.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:09:28.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:09:28.113Z] The best model improves the baseline by 14.52%. [2026-01-21T12:09:28.113Z] Top recommended movies for user id 72: [2026-01-21T12:09:28.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:09:28.113Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:09:28.113Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:09:28.113Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:09:28.113Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:09:28.113Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15561.285 ms) ====== [2026-01-21T12:09:28.113Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T12:09:28.113Z] GC before operation: completed in 181.129 ms, heap usage 368.473 MB -> 90.186 MB. [2026-01-21T12:09:30.102Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:09:32.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:09:35.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:09:37.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:09:38.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:09:39.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:09:40.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:09:42.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:09:42.996Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:09:42.996Z] The best model improves the baseline by 14.52%. [2026-01-21T12:09:42.996Z] Top recommended movies for user id 72: [2026-01-21T12:09:42.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:09:42.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:09:42.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:09:42.996Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:09:42.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:09:42.996Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14241.504 ms) ====== [2026-01-21T12:09:42.996Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T12:09:42.996Z] GC before operation: completed in 143.541 ms, heap usage 377.582 MB -> 89.918 MB. [2026-01-21T12:09:44.993Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:09:46.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:09:48.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:09:52.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:09:53.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:09:53.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:09:55.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:09:56.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:09:56.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:09:56.943Z] The best model improves the baseline by 14.52%. [2026-01-21T12:09:56.943Z] Top recommended movies for user id 72: [2026-01-21T12:09:56.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:09:56.943Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:09:56.943Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:09:56.943Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:09:56.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:09:56.943Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14637.704 ms) ====== [2026-01-21T12:09:56.943Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T12:09:56.943Z] GC before operation: completed in 111.163 ms, heap usage 180.119 MB -> 89.902 MB. [2026-01-21T12:10:00.019Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:10:02.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:10:04.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:10:06.011Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:10:07.998Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:10:08.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:10:10.956Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:10:11.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:10:11.924Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:10:11.924Z] The best model improves the baseline by 14.52%. [2026-01-21T12:10:11.924Z] Top recommended movies for user id 72: [2026-01-21T12:10:11.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:10:11.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:10:11.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:10:11.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:10:11.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:10:11.924Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14864.201 ms) ====== [2026-01-21T12:10:11.924Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T12:10:11.924Z] GC before operation: completed in 130.055 ms, heap usage 165.205 MB -> 89.690 MB. [2026-01-21T12:10:14.995Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:10:17.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:10:19.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:10:21.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:10:22.004Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:10:24.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:10:24.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:10:25.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:10:26.945Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:10:26.945Z] The best model improves the baseline by 14.52%. [2026-01-21T12:10:26.945Z] Top recommended movies for user id 72: [2026-01-21T12:10:26.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:10:26.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:10:26.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:10:26.945Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:10:26.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:10:26.945Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14303.317 ms) ====== [2026-01-21T12:10:26.945Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T12:10:26.945Z] GC before operation: completed in 111.029 ms, heap usage 370.233 MB -> 90.208 MB. [2026-01-21T12:10:28.962Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:10:31.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:10:33.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:10:35.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:10:37.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:10:38.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:10:40.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:10:41.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:10:41.801Z] 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. [2026-01-21T12:10:41.801Z] The best model improves the baseline by 14.52%. [2026-01-21T12:10:42.780Z] Top recommended movies for user id 72: [2026-01-21T12:10:42.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:10:42.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:10:42.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:10:42.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:10:42.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:10:42.780Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14920.799 ms) ====== [2026-01-21T12:10:42.780Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T12:10:42.780Z] GC before operation: completed in 126.539 ms, heap usage 119.126 MB -> 89.530 MB. [2026-01-21T12:10:43.749Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:10:46.818Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:10:48.810Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:10:50.799Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:10:51.768Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:10:52.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:10:54.725Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:10:55.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:10:56.664Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:10:56.664Z] The best model improves the baseline by 14.52%. [2026-01-21T12:10:56.664Z] Top recommended movies for user id 72: [2026-01-21T12:10:56.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:10:56.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:10:56.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:10:56.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:10:56.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:10:56.664Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14570.739 ms) ====== [2026-01-21T12:10:56.664Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T12:10:56.664Z] GC before operation: completed in 113.637 ms, heap usage 362.008 MB -> 90.142 MB. [2026-01-21T12:10:58.658Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:11:00.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:11:03.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:11:05.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:11:06.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:11:07.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:11:09.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:11:10.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:11:10.625Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:11:10.625Z] The best model improves the baseline by 14.52%. [2026-01-21T12:11:10.625Z] Top recommended movies for user id 72: [2026-01-21T12:11:10.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:11:10.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:11:10.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:11:10.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:11:10.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:11:10.625Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14572.134 ms) ====== [2026-01-21T12:11:10.625Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T12:11:11.596Z] GC before operation: completed in 111.845 ms, heap usage 119.666 MB -> 89.889 MB. [2026-01-21T12:11:13.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:11:15.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:11:17.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:11:19.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:11:21.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:11:22.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:11:23.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:11:25.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:11:25.490Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:11:25.490Z] The best model improves the baseline by 14.52%. [2026-01-21T12:11:25.490Z] Top recommended movies for user id 72: [2026-01-21T12:11:25.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:11:25.490Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:11:25.490Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:11:25.490Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:11:25.490Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:11:25.490Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14333.795 ms) ====== [2026-01-21T12:11:25.490Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T12:11:25.490Z] GC before operation: completed in 110.185 ms, heap usage 372.317 MB -> 90.098 MB. [2026-01-21T12:11:27.475Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:11:30.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:11:32.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:11:34.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:11:35.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:11:36.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:11:38.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:11:39.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:11:39.435Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:11:39.435Z] The best model improves the baseline by 14.52%. [2026-01-21T12:11:40.878Z] Top recommended movies for user id 72: [2026-01-21T12:11:40.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:11:40.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:11:40.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:11:40.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:11:40.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:11:40.878Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14397.199 ms) ====== [2026-01-21T12:11:40.878Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T12:11:40.878Z] GC before operation: completed in 127.461 ms, heap usage 125.485 MB -> 89.981 MB. [2026-01-21T12:11:41.874Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:11:43.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:11:45.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:11:47.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:11:48.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:11:50.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:11:51.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:11:52.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:11:52.752Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:11:52.752Z] The best model improves the baseline by 14.52%. [2026-01-21T12:11:53.720Z] Top recommended movies for user id 72: [2026-01-21T12:11:53.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:11:53.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:11:53.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:11:53.720Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:11:53.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:11:53.720Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13106.512 ms) ====== [2026-01-21T12:11:53.720Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T12:11:53.720Z] GC before operation: completed in 120.165 ms, heap usage 277.031 MB -> 90.085 MB. [2026-01-21T12:11:55.708Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:11:57.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:11:59.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:12:00.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:12:02.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:12:03.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:12:04.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:12:05.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:12:05.584Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:12:05.584Z] The best model improves the baseline by 14.52%. [2026-01-21T12:12:05.584Z] Top recommended movies for user id 72: [2026-01-21T12:12:05.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:12:05.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:12:05.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:12:05.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:12:05.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:12:05.584Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12659.390 ms) ====== [2026-01-21T12:12:05.584Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T12:12:06.552Z] GC before operation: completed in 128.174 ms, heap usage 699.149 MB -> 93.991 MB. [2026-01-21T12:12:08.541Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:12:10.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:12:12.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:12:14.513Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:12:15.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:12:16.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:12:17.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:12:19.415Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:12:19.415Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:12:19.415Z] The best model improves the baseline by 14.52%. [2026-01-21T12:12:19.415Z] Top recommended movies for user id 72: [2026-01-21T12:12:19.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:12:19.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:12:19.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:12:19.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:12:19.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:12:19.415Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13187.933 ms) ====== [2026-01-21T12:12:19.415Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T12:12:19.415Z] GC before operation: completed in 112.598 ms, heap usage 494.173 MB -> 90.295 MB. [2026-01-21T12:12:21.408Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:12:24.477Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:12:25.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:12:27.443Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:12:28.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:12:30.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:12:31.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:12:32.345Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:12:32.345Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:12:32.345Z] The best model improves the baseline by 14.52%. [2026-01-21T12:12:32.345Z] Top recommended movies for user id 72: [2026-01-21T12:12:32.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:12:32.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:12:32.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:12:32.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:12:32.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:12:32.345Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13274.169 ms) ====== [2026-01-21T12:12:32.345Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T12:12:33.314Z] GC before operation: completed in 115.698 ms, heap usage 370.195 MB -> 90.268 MB. [2026-01-21T12:12:34.284Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:12:36.288Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:12:39.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:12:40.032Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:12:42.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:12:42.998Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:12:43.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:12:44.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:12:45.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T12:12:45.914Z] The best model improves the baseline by 14.52%. [2026-01-21T12:12:45.914Z] Top recommended movies for user id 72: [2026-01-21T12:12:45.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T12:12:45.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T12:12:45.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T12:12:45.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T12:12:45.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T12:12:45.914Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12728.600 ms) ====== [2026-01-21T12:12:45.914Z] ----------------------------------- [2026-01-21T12:12:45.914Z] renaissance-movie-lens_0_PASSED [2026-01-21T12:12:45.914Z] ----------------------------------- [2026-01-21T12:12:45.914Z] [2026-01-21T12:12:45.914Z] TEST TEARDOWN: [2026-01-21T12:12:45.914Z] Nothing to be done for teardown. [2026-01-21T12:12:45.914Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 12:12:45 2026 Epoch Time (ms): 1768997565514