[2026-02-14T08:45:58.949Z] Running test renaissance-movie-lens_0 ... [2026-02-14T08:45:58.949Z] =============================================== [2026-02-14T08:45:58.949Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 08:45:56 2026 Epoch Time (ms): 1771058756241 [2026-02-14T08:45:58.949Z] variation: NoOptions [2026-02-14T08:45:58.949Z] JVM_OPTIONS: [2026-02-14T08:45:58.949Z] { \ [2026-02-14T08:45:58.949Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T08:45:58.949Z] echo "Nothing to be done for setup."; \ [2026-02-14T08:45:58.949Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710565506285/renaissance-movie-lens_0"; \ [2026-02-14T08:45:58.949Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710565506285/renaissance-movie-lens_0"; \ [2026-02-14T08:45:58.949Z] echo ""; echo "TESTING:"; \ [2026-02-14T08:45:58.949Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710565506285/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T08:45:58.949Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710565506285/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T08:45:58.949Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T08:45:58.949Z] echo "Nothing to be done for teardown."; \ [2026-02-14T08:45:58.949Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710565506285/TestTargetResult"; [2026-02-14T08:45:58.949Z] [2026-02-14T08:45:58.949Z] TEST SETUP: [2026-02-14T08:45:58.949Z] Nothing to be done for setup. [2026-02-14T08:45:58.949Z] [2026-02-14T08:45:58.949Z] TESTING: [2026-02-14T08:45:58.949Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-14T08:45:58.949Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17710565506285/renaissance-movie-lens_0/launcher-084556-16110094006519285652/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-14T08:45:58.949Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-14T08:45:58.949Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-14T08:46:22.028Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-14T08:46:55.411Z] 08:46:50.137 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-14T08:46:59.212Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T08:47:02.188Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T08:47:02.188Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T08:47:02.188Z] GC before operation: completed in 590.962 ms, heap usage 293.952 MB -> 75.943 MB. [2026-02-14T08:47:30.250Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:47:41.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:47:54.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:48:05.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:48:11.459Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:48:17.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:48:23.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:48:29.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:48:29.991Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:48:30.324Z] The best model improves the baseline by 14.52%. [2026-02-14T08:48:31.499Z] Top recommended movies for user id 72: [2026-02-14T08:48:31.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:48:31.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:48:31.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:48:31.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:48:31.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:48:31.499Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (88985.101 ms) ====== [2026-02-14T08:48:31.499Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T08:48:32.248Z] GC before operation: completed in 1071.346 ms, heap usage 751.208 MB -> 93.788 MB. [2026-02-14T08:48:43.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:48:52.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:49:02.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:49:11.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:49:17.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:49:23.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:49:31.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:49:35.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:49:36.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:49:36.924Z] The best model improves the baseline by 14.52%. [2026-02-14T08:49:37.663Z] Top recommended movies for user id 72: [2026-02-14T08:49:37.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:49:37.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:49:37.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:49:37.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:49:37.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:49:37.663Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65155.347 ms) ====== [2026-02-14T08:49:37.663Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T08:49:38.396Z] GC before operation: completed in 762.090 ms, heap usage 116.920 MB -> 88.522 MB. [2026-02-14T08:49:49.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:49:58.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:50:07.587Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:50:18.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:50:22.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:50:28.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:50:34.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:50:38.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:50:39.675Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:50:40.017Z] The best model improves the baseline by 14.52%. [2026-02-14T08:50:40.736Z] Top recommended movies for user id 72: [2026-02-14T08:50:40.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:50:40.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:50:40.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:50:40.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:50:40.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:50:40.736Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62389.084 ms) ====== [2026-02-14T08:50:40.736Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T08:50:41.476Z] GC before operation: completed in 765.857 ms, heap usage 432.724 MB -> 89.566 MB. [2026-02-14T08:50:50.397Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:50:59.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:51:08.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:51:17.172Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:51:21.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:51:27.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:51:33.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:51:38.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:51:39.782Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:51:39.782Z] The best model improves the baseline by 14.52%. [2026-02-14T08:51:40.496Z] Top recommended movies for user id 72: [2026-02-14T08:51:40.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:51:40.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:51:40.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:51:40.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:51:40.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:51:40.496Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59109.893 ms) ====== [2026-02-14T08:51:40.496Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T08:51:41.212Z] GC before operation: completed in 741.317 ms, heap usage 330.314 MB -> 89.658 MB. [2026-02-14T08:51:50.139Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:51:59.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:52:08.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:52:15.352Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:52:20.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:52:25.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:52:30.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:52:34.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:52:35.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:52:35.876Z] The best model improves the baseline by 14.52%. [2026-02-14T08:52:36.601Z] Top recommended movies for user id 72: [2026-02-14T08:52:36.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:52:36.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:52:36.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:52:36.601Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:52:36.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:52:36.601Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (55116.076 ms) ====== [2026-02-14T08:52:36.601Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T08:52:37.313Z] GC before operation: completed in 806.626 ms, heap usage 164.291 MB -> 89.429 MB. [2026-02-14T08:52:46.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:52:53.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:53:02.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:53:08.375Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:53:13.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:53:17.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:53:22.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:53:27.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:53:28.196Z] 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. [2026-02-14T08:53:28.196Z] The best model improves the baseline by 14.52%. [2026-02-14T08:53:28.932Z] Top recommended movies for user id 72: [2026-02-14T08:53:28.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:53:28.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:53:28.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:53:28.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:53:28.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:53:28.932Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51558.109 ms) ====== [2026-02-14T08:53:28.932Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T08:53:29.665Z] GC before operation: completed in 783.713 ms, heap usage 192.518 MB -> 89.775 MB. [2026-02-14T08:53:38.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:53:45.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:53:53.180Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:54:00.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:54:05.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:54:10.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:54:13.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:54:18.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:54:19.613Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:54:19.613Z] The best model improves the baseline by 14.52%. [2026-02-14T08:54:20.323Z] Top recommended movies for user id 72: [2026-02-14T08:54:20.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:54:20.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:54:20.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:54:20.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:54:20.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:54:20.323Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50733.299 ms) ====== [2026-02-14T08:54:20.323Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T08:54:21.046Z] GC before operation: completed in 813.150 ms, heap usage 528.321 MB -> 90.196 MB. [2026-02-14T08:54:29.967Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:54:38.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:54:46.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:54:52.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:54:56.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:55:01.654Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:55:06.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:55:11.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:55:11.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:55:11.521Z] The best model improves the baseline by 14.52%. [2026-02-14T08:55:12.233Z] Top recommended movies for user id 72: [2026-02-14T08:55:12.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:55:12.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:55:12.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:55:12.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:55:12.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:55:12.233Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51068.778 ms) ====== [2026-02-14T08:55:12.233Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T08:55:12.965Z] GC before operation: completed in 811.598 ms, heap usage 542.871 MB -> 93.641 MB. [2026-02-14T08:55:21.896Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:55:29.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:55:36.487Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:55:43.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:55:48.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:55:53.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:55:59.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:56:03.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:56:03.759Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:56:03.759Z] The best model improves the baseline by 14.52%. [2026-02-14T08:56:04.932Z] Top recommended movies for user id 72: [2026-02-14T08:56:04.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:56:04.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:56:04.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:56:04.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:56:04.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:56:04.932Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51748.309 ms) ====== [2026-02-14T08:56:04.932Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T08:56:05.660Z] GC before operation: completed in 786.244 ms, heap usage 219.716 MB -> 89.808 MB. [2026-02-14T08:56:14.645Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:56:22.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:56:31.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:56:38.522Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:56:43.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:56:48.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:56:52.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:56:58.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:56:58.742Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:56:58.742Z] The best model improves the baseline by 14.52%. [2026-02-14T08:56:59.455Z] Top recommended movies for user id 72: [2026-02-14T08:56:59.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:56:59.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:56:59.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:56:59.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:56:59.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:56:59.455Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53912.112 ms) ====== [2026-02-14T08:56:59.455Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-14T08:57:00.189Z] GC before operation: completed in 770.025 ms, heap usage 398.834 MB -> 90.272 MB. [2026-02-14T08:57:09.099Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:57:18.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:57:25.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:57:32.622Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:57:37.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:57:43.324Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:57:48.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:57:52.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:57:53.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:57:53.320Z] The best model improves the baseline by 14.52%. [2026-02-14T08:57:54.034Z] Top recommended movies for user id 72: [2026-02-14T08:57:54.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:57:54.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:57:54.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:57:54.034Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:57:54.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:57:54.034Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (53868.517 ms) ====== [2026-02-14T08:57:54.034Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-14T08:57:54.769Z] GC before operation: completed in 781.052 ms, heap usage 179.328 MB -> 89.757 MB. [2026-02-14T08:58:03.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:58:10.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:58:19.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:58:27.175Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:58:31.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:58:36.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:58:42.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:58:47.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:58:48.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:58:48.214Z] The best model improves the baseline by 14.52%. [2026-02-14T08:58:48.938Z] Top recommended movies for user id 72: [2026-02-14T08:58:48.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:58:48.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:58:48.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:58:48.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:58:48.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:58:48.938Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54001.109 ms) ====== [2026-02-14T08:58:48.938Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-14T08:58:49.701Z] GC before operation: completed in 775.625 ms, heap usage 384.839 MB -> 90.232 MB. [2026-02-14T08:58:58.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:59:05.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T08:59:13.219Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T08:59:22.217Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T08:59:26.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T08:59:31.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T08:59:36.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T08:59:40.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T08:59:41.705Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T08:59:41.705Z] The best model improves the baseline by 14.52%. [2026-02-14T08:59:42.431Z] Top recommended movies for user id 72: [2026-02-14T08:59:42.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T08:59:42.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T08:59:42.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T08:59:42.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T08:59:42.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T08:59:42.431Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52760.740 ms) ====== [2026-02-14T08:59:42.431Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-14T08:59:43.165Z] GC before operation: completed in 796.961 ms, heap usage 165.545 MB -> 90.081 MB. [2026-02-14T08:59:52.089Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T08:59:59.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T09:00:06.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T09:00:14.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T09:00:18.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T09:00:22.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T09:00:27.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T09:00:32.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T09:00:32.589Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T09:00:32.590Z] The best model improves the baseline by 14.52%. [2026-02-14T09:00:33.305Z] Top recommended movies for user id 72: [2026-02-14T09:00:33.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T09:00:33.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T09:00:33.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T09:00:33.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T09:00:33.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T09:00:33.305Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50048.903 ms) ====== [2026-02-14T09:00:33.305Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-14T09:00:34.036Z] GC before operation: completed in 801.396 ms, heap usage 269.517 MB -> 90.032 MB. [2026-02-14T09:00:43.058Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T09:00:50.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T09:00:57.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T09:01:03.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T09:01:08.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T09:01:12.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T09:01:16.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T09:01:21.805Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T09:01:22.139Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T09:01:22.139Z] The best model improves the baseline by 14.52%. [2026-02-14T09:01:22.854Z] Top recommended movies for user id 72: [2026-02-14T09:01:22.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T09:01:22.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T09:01:22.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T09:01:22.854Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T09:01:22.854Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T09:01:22.854Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48741.964 ms) ====== [2026-02-14T09:01:22.854Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-14T09:01:23.579Z] GC before operation: completed in 832.181 ms, heap usage 683.969 MB -> 94.019 MB. [2026-02-14T09:01:32.507Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T09:01:39.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T09:01:47.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T09:01:54.409Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T09:01:58.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T09:02:02.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T09:02:07.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T09:02:12.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T09:02:12.934Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T09:02:12.934Z] The best model improves the baseline by 14.52%. [2026-02-14T09:02:13.656Z] Top recommended movies for user id 72: [2026-02-14T09:02:13.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T09:02:13.656Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T09:02:13.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T09:02:13.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T09:02:13.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T09:02:13.657Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (49948.470 ms) ====== [2026-02-14T09:02:13.657Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-14T09:02:14.396Z] GC before operation: completed in 836.662 ms, heap usage 746.858 MB -> 93.945 MB. [2026-02-14T09:02:23.324Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T09:02:29.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T09:02:36.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T09:02:43.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T09:02:48.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T09:02:52.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T09:02:57.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T09:03:02.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T09:03:02.550Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T09:03:02.879Z] The best model improves the baseline by 14.52%. [2026-02-14T09:03:03.207Z] Top recommended movies for user id 72: [2026-02-14T09:03:03.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T09:03:03.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T09:03:03.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T09:03:03.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T09:03:03.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T09:03:03.207Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48897.883 ms) ====== [2026-02-14T09:03:03.207Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-14T09:03:03.987Z] GC before operation: completed in 814.429 ms, heap usage 442.908 MB -> 90.429 MB. [2026-02-14T09:03:12.882Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T09:03:20.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T09:03:27.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T09:03:33.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T09:03:38.153Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T09:03:42.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T09:03:47.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T09:03:52.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T09:03:53.633Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T09:03:53.633Z] The best model improves the baseline by 14.52%. [2026-02-14T09:03:54.346Z] Top recommended movies for user id 72: [2026-02-14T09:03:54.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T09:03:54.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T09:03:54.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T09:03:54.346Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T09:03:54.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T09:03:54.346Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50034.654 ms) ====== [2026-02-14T09:03:54.346Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-14T09:03:55.063Z] GC before operation: completed in 820.244 ms, heap usage 543.960 MB -> 93.617 MB. [2026-02-14T09:04:03.991Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T09:04:11.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T09:04:18.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T09:04:27.914Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T09:04:30.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T09:04:36.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T09:04:41.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T09:04:46.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T09:04:47.114Z] 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. [2026-02-14T09:04:47.114Z] The best model improves the baseline by 14.52%. [2026-02-14T09:04:47.830Z] Top recommended movies for user id 72: [2026-02-14T09:04:47.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T09:04:47.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T09:04:47.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T09:04:47.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T09:04:47.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T09:04:47.830Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52732.001 ms) ====== [2026-02-14T09:04:47.830Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-14T09:04:48.563Z] GC before operation: completed in 810.959 ms, heap usage 303.673 MB -> 90.177 MB. [2026-02-14T09:04:57.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T09:05:04.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T09:05:12.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T09:05:21.068Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T09:05:24.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T09:05:29.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T09:05:34.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T09:05:38.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T09:05:39.509Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-14T09:05:39.509Z] The best model improves the baseline by 14.52%. [2026-02-14T09:05:40.241Z] Top recommended movies for user id 72: [2026-02-14T09:05:40.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T09:05:40.241Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T09:05:40.241Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T09:05:40.241Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T09:05:40.241Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T09:05:40.241Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51501.285 ms) ====== [2026-02-14T09:05:44.043Z] ----------------------------------- [2026-02-14T09:05:44.043Z] renaissance-movie-lens_0_PASSED [2026-02-14T09:05:44.043Z] ----------------------------------- [2026-02-14T09:05:44.043Z] [2026-02-14T09:05:44.043Z] TEST TEARDOWN: [2026-02-14T09:05:44.043Z] Nothing to be done for teardown. [2026-02-14T09:05:44.043Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 09:05:43 2026 Epoch Time (ms): 1771059943270