[2026-04-21T22:34:32.796Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:34:32.796Z] =============================================== [2026-04-21T22:34:32.796Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:34:32 2026 Epoch Time (ms): 1776810872654 [2026-04-21T22:34:32.796Z] variation: NoOptions [2026-04-21T22:34:32.796Z] JVM_OPTIONS: [2026-04-21T22:34:32.796Z] { \ [2026-04-21T22:34:32.796Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:34:32.796Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:34:32.796Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768097953281/renaissance-movie-lens_0"; \ [2026-04-21T22:34:32.796Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768097953281/renaissance-movie-lens_0"; \ [2026-04-21T22:34:32.796Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:34:32.796Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768097953281/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:34:32.796Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768097953281/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:34:32.796Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:34:32.796Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:34:32.796Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768097953281/TestTargetResult"; [2026-04-21T22:34:32.796Z] [2026-04-21T22:34:32.796Z] TEST SETUP: [2026-04-21T22:34:32.796Z] Nothing to be done for setup. [2026-04-21T22:34:32.796Z] [2026-04-21T22:34:32.796Z] TESTING: [2026-04-21T22:34:34.104Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-21T22:34:34.104Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17768097953281/renaissance-movie-lens_0/launcher-223432-8349117696482967243/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-21T22:34:34.104Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-21T22:34:34.104Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-21T22:34:37.875Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-21T22:34:42.662Z] 22:34:42.538 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-21T22:34:44.722Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:34:45.354Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:34:45.354Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:34:45.981Z] GC before operation: completed in 215.581 ms, heap usage 239.028 MB -> 75.698 MB. [2026-04-21T22:34:51.916Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:34:55.662Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:34:58.525Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:00.629Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:02.695Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:04.411Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:05.727Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:07.771Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:07.771Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:35:07.771Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:07.771Z] Top recommended movies for user id 72: [2026-04-21T22:35:07.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:07.771Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:07.771Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:07.771Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:07.771Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:07.771Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22031.108 ms) ====== [2026-04-21T22:35:07.771Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:35:08.405Z] GC before operation: completed in 205.323 ms, heap usage 217.181 MB -> 93.200 MB. [2026-04-21T22:35:11.268Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:35:13.305Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:35:16.158Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:18.215Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:19.528Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:20.825Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:22.887Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:24.220Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:24.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:35:24.220Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:24.846Z] Top recommended movies for user id 72: [2026-04-21T22:35:24.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:24.846Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:24.846Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:24.846Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:24.846Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:24.846Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16583.374 ms) ====== [2026-04-21T22:35:24.846Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:35:24.846Z] GC before operation: completed in 176.211 ms, heap usage 247.081 MB -> 88.005 MB. [2026-04-21T22:35:27.698Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:35:30.570Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:35:32.617Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:34.691Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:36.754Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:39.888Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:39.888Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:40.528Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:41.153Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:35:41.153Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:41.153Z] Top recommended movies for user id 72: [2026-04-21T22:35:41.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:41.153Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:41.153Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:41.153Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:41.153Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:41.153Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16242.577 ms) ====== [2026-04-21T22:35:41.153Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:35:41.153Z] GC before operation: completed in 186.540 ms, heap usage 160.941 MB -> 88.274 MB. [2026-04-21T22:35:43.579Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:35:46.431Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:35:49.375Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:51.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:52.919Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:55.018Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:57.079Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:59.134Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:59.134Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:35:59.134Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:59.134Z] Top recommended movies for user id 72: [2026-04-21T22:35:59.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:59.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:59.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:59.134Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:59.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:59.134Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18060.775 ms) ====== [2026-04-21T22:35:59.134Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:35:59.761Z] GC before operation: completed in 167.108 ms, heap usage 316.956 MB -> 88.964 MB. [2026-04-21T22:36:02.989Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:05.049Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:07.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:10.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:36:12.136Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:36:13.433Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:36:15.491Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:16.797Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:17.420Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:36:17.420Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:17.420Z] Top recommended movies for user id 72: [2026-04-21T22:36:17.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:17.420Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:17.420Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:17.420Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:17.420Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:17.420Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18053.594 ms) ====== [2026-04-21T22:36:17.420Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T22:36:17.420Z] GC before operation: completed in 147.885 ms, heap usage 439.014 MB -> 92.396 MB. [2026-04-21T22:36:20.364Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:22.810Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:25.724Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:27.791Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:36:29.852Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:36:31.160Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:36:32.465Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:33.779Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:34.412Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:36:34.412Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:34.412Z] Top recommended movies for user id 72: [2026-04-21T22:36:34.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:34.412Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:34.412Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:34.412Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:34.412Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:34.412Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16657.617 ms) ====== [2026-04-21T22:36:34.412Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T22:36:34.412Z] GC before operation: completed in 161.548 ms, heap usage 150.456 MB -> 88.927 MB. [2026-04-21T22:36:37.335Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:39.574Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:41.617Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:43.682Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:36:45.726Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:36:47.026Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:36:48.332Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:49.677Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:49.677Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:36:49.677Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:49.677Z] Top recommended movies for user id 72: [2026-04-21T22:36:49.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:49.677Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:49.677Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:49.677Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:49.677Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:49.677Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15396.231 ms) ====== [2026-04-21T22:36:49.677Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T22:36:50.311Z] GC before operation: completed in 170.578 ms, heap usage 150.420 MB -> 88.869 MB. [2026-04-21T22:36:52.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:55.230Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:57.655Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:59.724Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:01.059Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:02.369Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:03.673Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:04.976Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:05.612Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:37:05.612Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:05.612Z] Top recommended movies for user id 72: [2026-04-21T22:37:05.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:05.612Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:05.612Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:05.612Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:05.612Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:05.612Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15374.757 ms) ====== [2026-04-21T22:37:05.612Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T22:37:05.612Z] GC before operation: completed in 210.137 ms, heap usage 224.592 MB -> 89.262 MB. [2026-04-21T22:37:07.665Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:10.526Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:37:13.409Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:37:15.482Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:16.803Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:18.104Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:19.414Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:21.474Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:21.474Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:37:21.474Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:21.474Z] Top recommended movies for user id 72: [2026-04-21T22:37:21.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:21.474Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:21.474Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:21.474Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:21.474Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:21.474Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15938.371 ms) ====== [2026-04-21T22:37:21.474Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T22:37:21.474Z] GC before operation: completed in 165.648 ms, heap usage 216.600 MB -> 89.056 MB. [2026-04-21T22:37:24.338Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:26.396Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:37:29.281Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:37:31.333Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:32.642Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:34.339Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:35.651Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:36.960Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:36.961Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:37:36.961Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:36.961Z] Top recommended movies for user id 72: [2026-04-21T22:37:36.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:36.961Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:36.961Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:36.961Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:36.961Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:36.961Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15461.376 ms) ====== [2026-04-21T22:37:36.961Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T22:37:37.586Z] GC before operation: completed in 160.563 ms, heap usage 224.810 MB -> 89.345 MB. [2026-04-21T22:37:39.680Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:42.554Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:37:44.606Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:37:46.650Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:47.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:49.279Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:51.329Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:52.639Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:52.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:37:52.639Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:53.275Z] Top recommended movies for user id 72: [2026-04-21T22:37:53.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:53.275Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:53.275Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:53.275Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:53.275Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:53.275Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15573.339 ms) ====== [2026-04-21T22:37:53.275Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T22:37:53.275Z] GC before operation: completed in 158.320 ms, heap usage 222.016 MB -> 89.086 MB. [2026-04-21T22:37:55.334Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:58.194Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:00.249Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:02.306Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:03.612Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:04.920Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:06.986Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:08.659Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:08.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:38:08.659Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:08.659Z] Top recommended movies for user id 72: [2026-04-21T22:38:08.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:08.659Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:08.659Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:08.659Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:08.659Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:08.659Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15366.120 ms) ====== [2026-04-21T22:38:08.659Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T22:38:08.659Z] GC before operation: completed in 133.115 ms, heap usage 155.675 MB -> 92.699 MB. [2026-04-21T22:38:10.731Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:12.791Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:15.707Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:17.023Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:19.076Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:19.706Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:21.016Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:22.334Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:22.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:38:22.967Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:22.967Z] Top recommended movies for user id 72: [2026-04-21T22:38:22.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:22.967Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:22.967Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:22.967Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:22.967Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:22.967Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14258.462 ms) ====== [2026-04-21T22:38:22.967Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T22:38:22.967Z] GC before operation: completed in 143.390 ms, heap usage 142.761 MB -> 89.304 MB. [2026-04-21T22:38:25.835Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:27.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:29.965Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:32.829Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:34.134Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:34.762Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:36.826Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:38.137Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:38.137Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:38:38.137Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:38.763Z] Top recommended movies for user id 72: [2026-04-21T22:38:38.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:38.763Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:38.763Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:38.763Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:38.763Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:38.763Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15510.246 ms) ====== [2026-04-21T22:38:38.763Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T22:38:38.763Z] GC before operation: completed in 223.925 ms, heap usage 187.332 MB -> 89.135 MB. [2026-04-21T22:38:41.726Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:44.258Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:46.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:48.374Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:48.999Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:50.312Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:51.614Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:52.917Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:53.576Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:38:53.576Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:53.576Z] Top recommended movies for user id 72: [2026-04-21T22:38:53.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:53.576Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:53.576Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:53.576Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:53.576Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:53.576Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14819.245 ms) ====== [2026-04-21T22:38:53.576Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T22:38:53.576Z] GC before operation: completed in 159.413 ms, heap usage 221.777 MB -> 89.426 MB. [2026-04-21T22:38:56.438Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:58.498Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:00.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:02.601Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:03.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:05.206Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:09.548Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:09.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:09.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:39:09.548Z] The best model improves the baseline by 14.34%. [2026-04-21T22:39:09.548Z] Top recommended movies for user id 72: [2026-04-21T22:39:09.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:39:09.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:39:09.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:39:09.548Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:39:09.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:39:09.548Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15034.489 ms) ====== [2026-04-21T22:39:09.548Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T22:39:09.548Z] GC before operation: completed in 167.787 ms, heap usage 149.978 MB -> 89.284 MB. [2026-04-21T22:39:11.631Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:13.726Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:15.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:17.860Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:19.191Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:20.517Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:21.827Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:25.689Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:25.689Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:39:26.316Z] The best model improves the baseline by 14.34%. [2026-04-21T22:39:26.316Z] Top recommended movies for user id 72: [2026-04-21T22:39:26.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:39:26.316Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:39:26.316Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:39:26.316Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:39:26.316Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:39:26.316Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14721.401 ms) ====== [2026-04-21T22:39:26.316Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T22:39:26.316Z] GC before operation: completed in 125.684 ms, heap usage 151.612 MB -> 89.318 MB. [2026-04-21T22:39:26.316Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:29.758Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:30.386Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:32.451Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:33.770Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:34.416Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:36.504Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:39.585Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:39.585Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:39:39.585Z] The best model improves the baseline by 14.34%. [2026-04-21T22:39:39.585Z] Top recommended movies for user id 72: [2026-04-21T22:39:39.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:39:39.585Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:39:39.585Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:39:39.585Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:39:39.585Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:39:39.585Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13983.828 ms) ====== [2026-04-21T22:39:39.585Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T22:39:39.585Z] GC before operation: completed in 175.618 ms, heap usage 140.240 MB -> 89.197 MB. [2026-04-21T22:39:40.215Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:42.258Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:44.375Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:52.499Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:52.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:52.499Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:52.499Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:52.499Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:52.499Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:39:52.499Z] The best model improves the baseline by 14.34%. [2026-04-21T22:39:52.499Z] Top recommended movies for user id 72: [2026-04-21T22:39:52.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:39:52.499Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:39:52.499Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:39:52.499Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:39:52.499Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:39:52.499Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14073.982 ms) ====== [2026-04-21T22:39:52.499Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T22:39:52.499Z] GC before operation: completed in 141.077 ms, heap usage 109.123 MB -> 89.128 MB. [2026-04-21T22:40:02.814Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:40:02.814Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:40:02.814Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:40:02.814Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:40:02.814Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:40:02.814Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:40:13.307Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:40:13.307Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:40:13.307Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:40:13.307Z] The best model improves the baseline by 14.34%. [2026-04-21T22:40:13.307Z] Top recommended movies for user id 72: [2026-04-21T22:40:13.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:40:13.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:40:13.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:40:13.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:40:13.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:40:13.307Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13974.751 ms) ====== [2026-04-21T22:40:13.307Z] ----------------------------------- [2026-04-21T22:40:13.307Z] renaissance-movie-lens_0_PASSED [2026-04-21T22:40:13.307Z] ----------------------------------- [2026-04-21T22:40:13.307Z] [2026-04-21T22:40:13.307Z] TEST TEARDOWN: [2026-04-21T22:40:13.307Z] Nothing to be done for teardown. [2026-04-21T22:40:13.307Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 22:40:06 2026 Epoch Time (ms): 1776811206259