[2026-03-18T04:11:46.356Z] Running test renaissance-movie-lens_0 ... [2026-03-18T04:11:46.356Z] =============================================== [2026-03-18T04:11:46.356Z] renaissance-movie-lens_0 Start Time: Wed Mar 18 04:11:45 2026 Epoch Time (ms): 1773807105418 [2026-03-18T04:11:46.356Z] variation: NoOptions [2026-03-18T04:11:46.356Z] JVM_OPTIONS: [2026-03-18T04:11:46.356Z] { \ [2026-03-18T04:11:46.356Z] echo ""; echo "TEST SETUP:"; \ [2026-03-18T04:11:46.356Z] echo "Nothing to be done for setup."; \ [2026-03-18T04:11:46.356Z] mkdir -p "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17738064275686/renaissance-movie-lens_0"; \ [2026-03-18T04:11:46.356Z] cd "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17738064275686/renaissance-movie-lens_0"; \ [2026-03-18T04:11:46.356Z] echo ""; echo "TESTING:"; \ [2026-03-18T04:11:46.356Z] "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/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_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17738064275686/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-18T04:11:46.356Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17738064275686/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-18T04:11:46.356Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-18T04:11:46.356Z] echo "Nothing to be done for teardown."; \ [2026-03-18T04:11:46.356Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk26_hs_extended.perf_aarch64_alpine-linux_rerun/aqa-tests/TKG/../TKG/output_17738064275686/TestTargetResult"; [2026-03-18T04:11:46.356Z] [2026-03-18T04:11:46.356Z] TEST SETUP: [2026-03-18T04:11:46.356Z] Nothing to be done for setup. [2026-03-18T04:11:46.356Z] [2026-03-18T04:11:46.356Z] TESTING: [2026-03-18T04:11:46.356Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-18T04:11:46.356Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-18T04:11:46.356Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-18T04:11:46.356Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-18T04:11:55.700Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-18T04:12:06.132Z] 04:12:04.930 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-18T04:12:07.171Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-18T04:12:08.213Z] Training: 60056, validation: 20285, test: 19854 [2026-03-18T04:12:08.213Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-18T04:12:08.213Z] GC before operation: completed in 102.897 ms, heap usage 143.553 MB -> 76.998 MB. [2026-03-18T04:12:15.441Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:12:19.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:12:23.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:12:26.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:12:28.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:12:30.756Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:12:31.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:12:33.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:12:33.924Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:12:34.964Z] The best model improves the baseline by 14.52%. [2026-03-18T04:12:34.964Z] Top recommended movies for user id 72: [2026-03-18T04:12:34.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:12:34.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:12:34.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:12:34.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:12:34.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:12:34.965Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26621.862 ms) ====== [2026-03-18T04:12:34.965Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-18T04:12:34.965Z] GC before operation: completed in 170.360 ms, heap usage 277.919 MB -> 90.204 MB. [2026-03-18T04:12:38.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:12:41.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:12:43.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:12:46.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:12:47.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:12:50.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:12:51.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:12:53.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:12:53.271Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:12:53.271Z] The best model improves the baseline by 14.52%. [2026-03-18T04:12:53.271Z] Top recommended movies for user id 72: [2026-03-18T04:12:53.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:12:53.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:12:53.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:12:53.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:12:53.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:12:53.271Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18618.621 ms) ====== [2026-03-18T04:12:53.271Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-18T04:12:53.271Z] GC before operation: completed in 156.180 ms, heap usage 158.286 MB -> 90.014 MB. [2026-03-18T04:12:56.551Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:13:00.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:13:01.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:13:03.804Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:13:05.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:13:06.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:13:09.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:13:10.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:13:10.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:13:10.142Z] The best model improves the baseline by 14.52%. [2026-03-18T04:13:10.142Z] Top recommended movies for user id 72: [2026-03-18T04:13:10.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:13:10.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:13:10.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:13:10.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:13:10.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:13:10.142Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16822.652 ms) ====== [2026-03-18T04:13:10.142Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-18T04:13:10.142Z] GC before operation: completed in 134.615 ms, heap usage 742.516 MB -> 94.651 MB. [2026-03-18T04:13:13.419Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:13:15.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:13:18.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:13:20.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:13:21.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:13:24.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:13:25.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:13:27.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:13:27.297Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:13:27.297Z] The best model improves the baseline by 14.52%. [2026-03-18T04:13:27.297Z] Top recommended movies for user id 72: [2026-03-18T04:13:27.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:13:27.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:13:27.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:13:27.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:13:27.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:13:27.297Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16698.160 ms) ====== [2026-03-18T04:13:27.297Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-18T04:13:27.297Z] GC before operation: completed in 150.324 ms, heap usage 808.578 MB -> 95.229 MB. [2026-03-18T04:13:30.573Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:13:32.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:13:34.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:13:38.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:13:39.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:13:41.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:13:42.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:13:43.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:13:44.387Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:13:44.387Z] The best model improves the baseline by 14.52%. [2026-03-18T04:13:44.387Z] Top recommended movies for user id 72: [2026-03-18T04:13:44.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:13:44.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:13:44.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:13:44.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:13:44.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:13:44.387Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16733.539 ms) ====== [2026-03-18T04:13:44.387Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-18T04:13:44.387Z] GC before operation: completed in 145.990 ms, heap usage 132.017 MB -> 94.601 MB. [2026-03-18T04:13:47.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:13:49.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:13:51.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:13:54.065Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:13:56.196Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:13:57.236Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:13:58.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:14:01.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:14:01.208Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:14:01.208Z] The best model improves the baseline by 14.52%. [2026-03-18T04:14:01.208Z] Top recommended movies for user id 72: [2026-03-18T04:14:01.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:14:01.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:14:01.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:14:01.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:14:01.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:14:01.208Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16093.640 ms) ====== [2026-03-18T04:14:01.208Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-18T04:14:01.208Z] GC before operation: completed in 155.342 ms, heap usage 906.711 MB -> 96.023 MB. [2026-03-18T04:14:03.336Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:14:05.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:14:07.591Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:14:09.723Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:14:11.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:14:12.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:14:13.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:14:16.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:14:16.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:14:16.066Z] The best model improves the baseline by 14.52%. [2026-03-18T04:14:16.066Z] Top recommended movies for user id 72: [2026-03-18T04:14:16.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:14:16.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:14:16.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:14:16.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:14:16.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:14:16.066Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15378.216 ms) ====== [2026-03-18T04:14:16.066Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-18T04:14:16.066Z] GC before operation: completed in 143.196 ms, heap usage 907.217 MB -> 95.848 MB. [2026-03-18T04:14:18.195Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:14:21.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:14:23.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:14:25.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:14:26.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:14:27.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:14:29.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:14:30.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:14:30.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:14:30.977Z] The best model improves the baseline by 14.52%. [2026-03-18T04:14:30.977Z] Top recommended movies for user id 72: [2026-03-18T04:14:30.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:14:30.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:14:30.977Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:14:30.977Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:14:30.977Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:14:30.977Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14994.749 ms) ====== [2026-03-18T04:14:30.977Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-18T04:14:30.977Z] GC before operation: completed in 140.271 ms, heap usage 492.578 MB -> 91.842 MB. [2026-03-18T04:14:34.262Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:14:36.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:14:38.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:14:40.650Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:14:42.780Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:14:43.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:14:44.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:14:45.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:14:46.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:14:46.937Z] The best model improves the baseline by 14.52%. [2026-03-18T04:14:46.937Z] Top recommended movies for user id 72: [2026-03-18T04:14:46.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:14:46.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:14:46.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:14:46.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:14:46.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:14:46.937Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15453.727 ms) ====== [2026-03-18T04:14:46.937Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-18T04:14:46.937Z] GC before operation: completed in 165.006 ms, heap usage 112.808 MB -> 95.938 MB. [2026-03-18T04:14:49.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:14:52.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:14:54.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:14:56.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:14:57.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:14:59.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:15:01.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:15:01.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:15:02.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:15:02.716Z] The best model improves the baseline by 14.52%. [2026-03-18T04:15:02.716Z] Top recommended movies for user id 72: [2026-03-18T04:15:02.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:15:02.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:15:02.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:15:02.716Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:15:02.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:15:02.716Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15455.622 ms) ====== [2026-03-18T04:15:02.716Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-18T04:15:02.716Z] GC before operation: completed in 162.882 ms, heap usage 765.608 MB -> 95.533 MB. [2026-03-18T04:15:04.844Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:15:06.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:15:10.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:15:12.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:15:13.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:15:14.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:15:15.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:15:17.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:15:17.624Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:15:17.624Z] The best model improves the baseline by 14.52%. [2026-03-18T04:15:17.624Z] Top recommended movies for user id 72: [2026-03-18T04:15:17.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:15:17.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:15:17.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:15:17.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:15:17.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:15:17.624Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15147.964 ms) ====== [2026-03-18T04:15:17.624Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-18T04:15:17.624Z] GC before operation: completed in 157.271 ms, heap usage 183.825 MB -> 91.492 MB. [2026-03-18T04:15:20.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:15:23.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:15:25.164Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:15:27.291Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:15:28.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:15:29.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:15:31.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:15:32.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:15:32.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:15:32.757Z] The best model improves the baseline by 14.52%. [2026-03-18T04:15:32.757Z] Top recommended movies for user id 72: [2026-03-18T04:15:32.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:15:32.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:15:32.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:15:32.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:15:32.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:15:32.757Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15028.233 ms) ====== [2026-03-18T04:15:32.757Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-18T04:15:32.757Z] GC before operation: completed in 132.155 ms, heap usage 342.009 MB -> 91.702 MB. [2026-03-18T04:15:36.031Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:15:38.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:15:40.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:15:42.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:15:43.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:15:45.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:15:46.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:15:47.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:15:47.675Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:15:47.675Z] The best model improves the baseline by 14.52%. [2026-03-18T04:15:48.710Z] Top recommended movies for user id 72: [2026-03-18T04:15:48.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:15:48.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:15:48.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:15:48.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:15:48.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:15:48.710Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15255.040 ms) ====== [2026-03-18T04:15:48.710Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-18T04:15:48.710Z] GC before operation: completed in 151.515 ms, heap usage 535.094 MB -> 95.301 MB. [2026-03-18T04:15:50.841Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:15:52.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:15:55.104Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:15:57.239Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:15:59.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:16:00.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:16:02.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:16:03.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:16:03.283Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:16:03.283Z] The best model improves the baseline by 14.52%. [2026-03-18T04:16:03.283Z] Top recommended movies for user id 72: [2026-03-18T04:16:03.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:16:03.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:16:03.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:16:03.283Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:16:03.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:16:03.283Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14904.924 ms) ====== [2026-03-18T04:16:03.283Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-18T04:16:03.283Z] GC before operation: completed in 145.603 ms, heap usage 1.168 GB -> 97.089 MB. [2026-03-18T04:16:06.563Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:16:08.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:16:10.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:16:12.949Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:16:13.985Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:16:15.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:16:17.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:16:18.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:16:18.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:16:18.199Z] The best model improves the baseline by 14.52%. [2026-03-18T04:16:18.199Z] Top recommended movies for user id 72: [2026-03-18T04:16:18.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:16:18.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:16:18.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:16:18.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:16:18.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:16:18.199Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14988.526 ms) ====== [2026-03-18T04:16:18.199Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-18T04:16:18.199Z] GC before operation: completed in 142.452 ms, heap usage 367.931 MB -> 91.897 MB. [2026-03-18T04:16:21.476Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:16:23.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:16:25.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:16:27.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:16:28.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:16:29.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:16:32.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:16:33.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:16:33.115Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:16:33.115Z] The best model improves the baseline by 14.52%. [2026-03-18T04:16:33.115Z] Top recommended movies for user id 72: [2026-03-18T04:16:33.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:16:33.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:16:33.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:16:33.115Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:16:33.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:16:33.115Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14917.175 ms) ====== [2026-03-18T04:16:33.115Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-18T04:16:34.154Z] GC before operation: completed in 154.738 ms, heap usage 808.419 MB -> 95.781 MB. [2026-03-18T04:16:36.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:16:38.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:16:40.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:16:42.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:16:43.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:16:44.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:16:46.883Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:16:47.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:16:47.923Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:16:47.923Z] The best model improves the baseline by 14.52%. [2026-03-18T04:16:47.923Z] Top recommended movies for user id 72: [2026-03-18T04:16:47.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:16:47.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:16:47.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:16:47.923Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:16:47.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:16:47.923Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14492.597 ms) ====== [2026-03-18T04:16:47.923Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-18T04:16:47.923Z] GC before operation: completed in 141.250 ms, heap usage 286.521 MB -> 91.740 MB. [2026-03-18T04:16:51.213Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:16:53.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:16:55.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:16:57.764Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:16:58.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:17:00.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:17:02.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:17:03.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:17:03.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:17:03.548Z] The best model improves the baseline by 14.52%. [2026-03-18T04:17:03.548Z] Top recommended movies for user id 72: [2026-03-18T04:17:03.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:17:03.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:17:03.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:17:03.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:17:03.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:17:03.548Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15213.700 ms) ====== [2026-03-18T04:17:03.548Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-18T04:17:03.548Z] GC before operation: completed in 171.203 ms, heap usage 1004.850 MB -> 96.428 MB. [2026-03-18T04:17:06.820Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:17:09.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:17:11.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:17:13.334Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:17:15.461Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:17:16.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:17:17.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:17:18.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:17:19.832Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:17:19.832Z] The best model improves the baseline by 14.52%. [2026-03-18T04:17:19.832Z] Top recommended movies for user id 72: [2026-03-18T04:17:19.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:17:19.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:17:19.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:17:19.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:17:19.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:17:19.833Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15990.158 ms) ====== [2026-03-18T04:17:19.833Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-18T04:17:19.833Z] GC before operation: completed in 154.047 ms, heap usage 616.546 MB -> 95.336 MB. [2026-03-18T04:17:23.110Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T04:17:25.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T04:17:27.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T04:17:29.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T04:17:30.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T04:17:33.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T04:17:34.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T04:17:35.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T04:17:36.212Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T04:17:36.212Z] The best model improves the baseline by 14.52%. [2026-03-18T04:17:36.212Z] Top recommended movies for user id 72: [2026-03-18T04:17:36.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T04:17:36.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T04:17:36.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T04:17:36.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T04:17:36.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T04:17:36.212Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16080.481 ms) ====== [2026-03-18T04:17:37.248Z] ----------------------------------- [2026-03-18T04:17:37.248Z] renaissance-movie-lens_0_PASSED [2026-03-18T04:17:37.248Z] ----------------------------------- [2026-03-18T04:17:37.248Z] [2026-03-18T04:17:37.248Z] TEST TEARDOWN: [2026-03-18T04:17:37.248Z] Nothing to be done for teardown. [2026-03-18T04:17:37.248Z] renaissance-movie-lens_0 Finish Time: Wed Mar 18 04:17:36 2026 Epoch Time (ms): 1773807456531