[2026-02-20T22:05:48.713Z] Running test renaissance-movie-lens_0 ... [2026-02-20T22:05:48.713Z] =============================================== [2026-02-20T22:05:48.713Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 22:05:44 2026 Epoch Time (ms): 1771625144800 [2026-02-20T22:05:48.713Z] variation: NoOptions [2026-02-20T22:05:48.713Z] JVM_OPTIONS: [2026-02-20T22:05:48.713Z] { \ [2026-02-20T22:05:48.713Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T22:05:48.713Z] echo "Nothing to be done for setup."; \ [2026-02-20T22:05:48.713Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17716229756027/renaissance-movie-lens_0"; \ [2026-02-20T22:05:48.713Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17716229756027/renaissance-movie-lens_0"; \ [2026-02-20T22:05:48.713Z] echo ""; echo "TESTING:"; \ [2026-02-20T22:05:48.713Z] "/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_17716229756027/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T22:05:48.713Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17716229756027/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T22:05:48.713Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T22:05:48.713Z] echo "Nothing to be done for teardown."; \ [2026-02-20T22:05:48.713Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17716229756027/TestTargetResult"; [2026-02-20T22:05:48.713Z] [2026-02-20T22:05:48.713Z] TEST SETUP: [2026-02-20T22:05:48.713Z] Nothing to be done for setup. [2026-02-20T22:05:48.713Z] [2026-02-20T22:05:48.713Z] TESTING: [2026-02-20T22:05:48.713Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-20T22:05:48.713Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17716229756027/renaissance-movie-lens_0/launcher-220545-7836406201521951209/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-20T22:05:48.713Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-20T22:05:48.713Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-20T22:06:08.080Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T22:06:41.766Z] 22:06:39.210 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. [2026-02-20T22:06:49.330Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T22:06:51.058Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T22:06:51.058Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T22:06:51.398Z] GC before operation: completed in 554.683 ms, heap usage 394.000 MB -> 76.115 MB. [2026-02-20T22:07:19.834Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:07:35.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:07:49.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:08:00.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:08:07.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:08:15.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:08:21.377Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:08:28.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:08:29.213Z] 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. [2026-02-20T22:08:29.556Z] The best model improves the baseline by 14.52%. [2026-02-20T22:08:30.298Z] Top recommended movies for user id 72: [2026-02-20T22:08:30.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:08:30.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:08:30.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:08:30.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:08:30.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:08:30.298Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (99180.183 ms) ====== [2026-02-20T22:08:30.298Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T22:08:31.534Z] GC before operation: completed in 852.448 ms, heap usage 401.922 MB -> 89.971 MB. [2026-02-20T22:08:42.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:08:53.539Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:09:04.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:09:13.729Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:09:19.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:09:25.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:09:31.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:09:39.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:09:39.525Z] 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. [2026-02-20T22:09:39.525Z] The best model improves the baseline by 14.52%. [2026-02-20T22:09:40.261Z] Top recommended movies for user id 72: [2026-02-20T22:09:40.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:09:40.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:09:40.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:09:40.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:09:40.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:09:40.261Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (69082.805 ms) ====== [2026-02-20T22:09:40.261Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T22:09:41.495Z] GC before operation: completed in 890.360 ms, heap usage 379.335 MB -> 89.017 MB. [2026-02-20T22:09:52.492Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:10:01.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:10:11.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:10:18.627Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:10:23.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:10:29.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:10:35.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:10:40.468Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:10:41.670Z] 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. [2026-02-20T22:10:41.670Z] The best model improves the baseline by 14.52%. [2026-02-20T22:10:42.433Z] Top recommended movies for user id 72: [2026-02-20T22:10:42.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:10:42.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:10:42.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:10:42.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:10:42.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:10:42.433Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (60999.005 ms) ====== [2026-02-20T22:10:42.433Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T22:10:43.205Z] GC before operation: completed in 958.591 ms, heap usage 299.922 MB -> 89.562 MB. [2026-02-20T22:10:52.249Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:11:01.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:11:10.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:11:19.539Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:11:25.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:11:31.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:11:36.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:11:42.648Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:11:42.648Z] 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. [2026-02-20T22:11:42.986Z] The best model improves the baseline by 14.52%. [2026-02-20T22:11:43.730Z] Top recommended movies for user id 72: [2026-02-20T22:11:43.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:11:43.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:11:43.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:11:43.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:11:43.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:11:43.730Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (60321.473 ms) ====== [2026-02-20T22:11:43.730Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T22:11:44.484Z] GC before operation: completed in 894.977 ms, heap usage 297.659 MB -> 89.912 MB. [2026-02-20T22:11:55.447Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:12:02.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:12:13.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:12:23.025Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:12:28.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:12:34.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:12:40.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:12:45.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:12:46.186Z] 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. [2026-02-20T22:12:46.186Z] The best model improves the baseline by 14.52%. [2026-02-20T22:12:46.559Z] Top recommended movies for user id 72: [2026-02-20T22:12:46.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:12:46.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:12:46.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:12:46.559Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:12:46.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:12:46.559Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (62160.484 ms) ====== [2026-02-20T22:12:46.559Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T22:12:47.855Z] GC before operation: completed in 933.489 ms, heap usage 378.411 MB -> 90.000 MB. [2026-02-20T22:12:57.163Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:13:06.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:13:13.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:13:22.754Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:13:27.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:13:33.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:13:38.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:13:43.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:13:44.606Z] 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. [2026-02-20T22:13:44.606Z] The best model improves the baseline by 14.52%. [2026-02-20T22:13:45.336Z] Top recommended movies for user id 72: [2026-02-20T22:13:45.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:13:45.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:13:45.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:13:45.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:13:45.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:13:45.336Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57728.396 ms) ====== [2026-02-20T22:13:45.336Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T22:13:46.084Z] GC before operation: completed in 912.216 ms, heap usage 189.123 MB -> 89.994 MB. [2026-02-20T22:13:55.396Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:14:02.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:14:10.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:14:17.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:14:22.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:14:27.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:14:32.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:14:35.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:14:36.720Z] 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. [2026-02-20T22:14:37.062Z] The best model improves the baseline by 14.52%. [2026-02-20T22:14:37.806Z] Top recommended movies for user id 72: [2026-02-20T22:14:37.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:14:37.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:14:37.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:14:37.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:14:37.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:14:37.806Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51409.974 ms) ====== [2026-02-20T22:14:37.806Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T22:14:38.559Z] GC before operation: completed in 938.030 ms, heap usage 263.952 MB -> 90.018 MB. [2026-02-20T22:14:47.668Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:14:55.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:15:02.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:15:09.954Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:15:14.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:15:18.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:15:24.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:15:28.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:15:28.860Z] 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. [2026-02-20T22:15:29.200Z] The best model improves the baseline by 14.52%. [2026-02-20T22:15:29.539Z] Top recommended movies for user id 72: [2026-02-20T22:15:29.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:15:29.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:15:29.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:15:29.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:15:29.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:15:29.539Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51051.012 ms) ====== [2026-02-20T22:15:29.539Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T22:15:30.759Z] GC before operation: completed in 964.393 ms, heap usage 825.781 MB -> 94.260 MB. [2026-02-20T22:15:39.779Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:15:47.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:15:54.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:16:02.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:16:07.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:16:12.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:16:17.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:16:23.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:16:23.844Z] 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. [2026-02-20T22:16:23.844Z] The best model improves the baseline by 14.52%. [2026-02-20T22:16:24.595Z] Top recommended movies for user id 72: [2026-02-20T22:16:24.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:16:24.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:16:24.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:16:24.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:16:24.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:16:24.596Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54137.513 ms) ====== [2026-02-20T22:16:24.596Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T22:16:25.877Z] GC before operation: completed in 920.524 ms, heap usage 364.972 MB -> 90.203 MB. [2026-02-20T22:16:35.190Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:16:42.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:16:51.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:16:59.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:17:04.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:17:09.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:17:14.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:17:19.361Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:17:19.873Z] 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. [2026-02-20T22:17:19.873Z] The best model improves the baseline by 14.52%. [2026-02-20T22:17:20.635Z] Top recommended movies for user id 72: [2026-02-20T22:17:20.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:17:20.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:17:20.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:17:20.635Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:17:20.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:17:20.635Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54834.441 ms) ====== [2026-02-20T22:17:20.635Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T22:17:21.423Z] GC before operation: completed in 932.270 ms, heap usage 380.705 MB -> 90.497 MB. [2026-02-20T22:17:30.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:17:38.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:17:45.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:17:54.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:17:58.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:18:03.569Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:18:09.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:18:14.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:18:15.162Z] 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. [2026-02-20T22:18:15.162Z] The best model improves the baseline by 14.52%. [2026-02-20T22:18:15.893Z] Top recommended movies for user id 72: [2026-02-20T22:18:15.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:18:15.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:18:15.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:18:15.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:18:15.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:18:15.893Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54421.583 ms) ====== [2026-02-20T22:18:15.893Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T22:18:16.657Z] GC before operation: completed in 938.313 ms, heap usage 212.027 MB -> 90.000 MB. [2026-02-20T22:18:25.733Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:18:33.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:18:42.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:18:49.934Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:18:55.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:18:59.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:19:04.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:19:09.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:19:10.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:19:10.338Z] The best model improves the baseline by 14.52%. [2026-02-20T22:19:11.072Z] Top recommended movies for user id 72: [2026-02-20T22:19:11.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:19:11.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:19:11.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:19:11.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:19:11.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:19:11.072Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54339.475 ms) ====== [2026-02-20T22:19:11.072Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T22:19:12.282Z] GC before operation: completed in 948.032 ms, heap usage 203.934 MB -> 90.198 MB. [2026-02-20T22:19:21.510Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:19:28.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:19:36.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:19:45.399Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:19:50.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:19:56.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:20:01.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:20:06.120Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:20:07.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T22:20:07.667Z] The best model improves the baseline by 14.52%. [2026-02-20T22:20:08.007Z] Top recommended movies for user id 72: [2026-02-20T22:20:08.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:20:08.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:20:08.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:20:08.007Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:20:08.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:20:08.007Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56039.390 ms) ====== [2026-02-20T22:20:08.007Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T22:20:09.220Z] GC before operation: completed in 921.772 ms, heap usage 111.708 MB -> 91.515 MB. [2026-02-20T22:20:18.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:20:25.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:20:34.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:20:42.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:20:46.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:20:51.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:20:56.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:21:00.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:21:00.984Z] 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. [2026-02-20T22:21:01.330Z] The best model improves the baseline by 14.52%. [2026-02-20T22:21:01.680Z] Top recommended movies for user id 72: [2026-02-20T22:21:01.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:21:01.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:21:01.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:21:01.680Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:21:01.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:21:01.680Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (52688.172 ms) ====== [2026-02-20T22:21:01.680Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T22:21:02.894Z] GC before operation: completed in 989.649 ms, heap usage 768.591 MB -> 93.981 MB. [2026-02-20T22:21:12.063Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:21:19.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:21:25.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:21:33.428Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:21:38.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:21:42.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:21:47.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:21:51.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:21:52.120Z] 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. [2026-02-20T22:21:52.120Z] The best model improves the baseline by 14.52%. [2026-02-20T22:21:52.879Z] Top recommended movies for user id 72: [2026-02-20T22:21:52.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:21:52.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:21:52.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:21:52.880Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:21:52.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:21:52.880Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50084.348 ms) ====== [2026-02-20T22:21:52.880Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T22:21:54.104Z] GC before operation: completed in 1023.481 ms, heap usage 1.252 GB -> 95.955 MB. [2026-02-20T22:22:01.579Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:22:10.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:22:17.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:22:25.444Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:22:29.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:22:33.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:22:39.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:22:43.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:22:44.133Z] 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. [2026-02-20T22:22:44.133Z] The best model improves the baseline by 14.52%. [2026-02-20T22:22:44.877Z] Top recommended movies for user id 72: [2026-02-20T22:22:44.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:22:44.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:22:44.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:22:44.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:22:44.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:22:44.877Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50841.544 ms) ====== [2026-02-20T22:22:44.877Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T22:22:45.621Z] GC before operation: completed in 984.570 ms, heap usage 379.027 MB -> 90.447 MB. [2026-02-20T22:22:54.838Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:23:00.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:23:08.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:23:16.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:23:20.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:23:24.799Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:23:29.735Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:23:34.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:23:35.470Z] 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. [2026-02-20T22:23:35.470Z] The best model improves the baseline by 14.52%. [2026-02-20T22:23:36.303Z] Top recommended movies for user id 72: [2026-02-20T22:23:36.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:23:36.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:23:36.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:23:36.303Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:23:36.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:23:36.303Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50465.077 ms) ====== [2026-02-20T22:23:36.303Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T22:23:37.054Z] GC before operation: completed in 978.255 ms, heap usage 455.878 MB -> 90.681 MB. [2026-02-20T22:23:44.845Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:23:53.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:23:59.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:24:07.408Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:24:12.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:24:17.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:24:21.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:24:26.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:24:26.790Z] 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. [2026-02-20T22:24:26.790Z] The best model improves the baseline by 14.52%. [2026-02-20T22:24:27.558Z] Top recommended movies for user id 72: [2026-02-20T22:24:27.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:24:27.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:24:27.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:24:27.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:24:27.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:24:27.558Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50393.643 ms) ====== [2026-02-20T22:24:27.558Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T22:24:28.338Z] GC before operation: completed in 961.892 ms, heap usage 273.624 MB -> 90.269 MB. [2026-02-20T22:24:37.361Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:24:44.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:24:52.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:24:58.271Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:25:03.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:25:07.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:25:11.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:25:16.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:25:17.565Z] 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. [2026-02-20T22:25:17.565Z] The best model improves the baseline by 14.52%. [2026-02-20T22:25:18.307Z] Top recommended movies for user id 72: [2026-02-20T22:25:18.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:25:18.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:25:18.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:25:18.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:25:18.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:25:18.307Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49736.832 ms) ====== [2026-02-20T22:25:18.307Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T22:25:19.090Z] GC before operation: completed in 958.613 ms, heap usage 209.042 MB -> 90.272 MB. [2026-02-20T22:25:28.180Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T22:25:35.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T22:25:43.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T22:25:49.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T22:25:54.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T22:25:58.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T22:26:02.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T22:26:07.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T22:26:08.016Z] 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. [2026-02-20T22:26:08.356Z] The best model improves the baseline by 14.52%. [2026-02-20T22:26:08.698Z] Top recommended movies for user id 72: [2026-02-20T22:26:08.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T22:26:08.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T22:26:08.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T22:26:08.698Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T22:26:08.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T22:26:08.698Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49682.227 ms) ====== [2026-02-20T22:26:11.911Z] ----------------------------------- [2026-02-20T22:26:11.911Z] renaissance-movie-lens_0_PASSED [2026-02-20T22:26:11.911Z] ----------------------------------- [2026-02-20T22:26:12.257Z] [2026-02-20T22:26:12.257Z] TEST TEARDOWN: [2026-02-20T22:26:12.257Z] Nothing to be done for teardown. [2026-02-20T22:26:12.257Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 22:26:12 2026 Epoch Time (ms): 1771626372077