[2026-02-26T15:35:11.292Z] Running test renaissance-movie-lens_0 ... [2026-02-26T15:35:11.292Z] =============================================== [2026-02-26T15:35:11.292Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 10:35:11 2026 Epoch Time (ms): 1772120111069 [2026-02-26T15:35:11.292Z] variation: NoOptions [2026-02-26T15:35:11.292Z] JVM_OPTIONS: [2026-02-26T15:35:11.292Z] { \ [2026-02-26T15:35:11.292Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T15:35:11.292Z] echo "Nothing to be done for setup."; \ [2026-02-26T15:35:11.292Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721166831220/renaissance-movie-lens_0"; \ [2026-02-26T15:35:11.292Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721166831220/renaissance-movie-lens_0"; \ [2026-02-26T15:35:11.292Z] echo ""; echo "TESTING:"; \ [2026-02-26T15:35:11.293Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721166831220/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T15:35:11.293Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721166831220/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T15:35:11.293Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T15:35:11.293Z] echo "Nothing to be done for teardown."; \ [2026-02-26T15:35:11.293Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721166831220/TestTargetResult"; [2026-02-26T15:35:11.293Z] [2026-02-26T15:35:11.293Z] TEST SETUP: [2026-02-26T15:35:11.293Z] Nothing to be done for setup. [2026-02-26T15:35:11.293Z] [2026-02-26T15:35:11.293Z] TESTING: [2026-02-26T15:35:37.287Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-26T15:35:59.513Z] 10:35:58.694 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-26T15:36:05.642Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T15:36:06.204Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T15:36:06.204Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T15:36:06.675Z] GC before operation: completed in 710.650 ms, heap usage 422.011 MB -> 74.730 MB. [2026-02-26T15:36:44.027Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:37:05.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:37:19.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:37:38.095Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:37:49.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:37:58.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:38:07.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:38:18.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:38:18.631Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:38:18.631Z] The best model improves the baseline by 14.52%. [2026-02-26T15:38:19.822Z] Top recommended movies for user id 72: [2026-02-26T15:38:19.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:38:19.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:38:19.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:38:19.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:38:19.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:38:19.822Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (133185.839 ms) ====== [2026-02-26T15:38:19.822Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T15:38:20.316Z] GC before operation: completed in 325.948 ms, heap usage 219.853 MB -> 87.264 MB. [2026-02-26T15:38:42.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:38:58.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:39:13.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:39:29.716Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:39:43.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:39:49.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:39:58.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:40:06.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:40:07.096Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:40:07.096Z] The best model improves the baseline by 14.52%. [2026-02-26T15:40:07.596Z] Top recommended movies for user id 72: [2026-02-26T15:40:07.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:40:07.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:40:07.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:40:07.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:40:07.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:40:07.596Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (107438.143 ms) ====== [2026-02-26T15:40:07.596Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T15:40:08.904Z] GC before operation: completed in 1034.950 ms, heap usage 739.457 MB -> 91.592 MB. [2026-02-26T15:40:25.453Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:40:38.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:40:54.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:41:07.306Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:41:13.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:41:22.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:41:36.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:41:42.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:41:43.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:41:43.880Z] The best model improves the baseline by 14.52%. [2026-02-26T15:41:44.409Z] Top recommended movies for user id 72: [2026-02-26T15:41:44.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:41:44.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:41:44.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:41:44.409Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:41:44.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:41:44.409Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (95447.819 ms) ====== [2026-02-26T15:41:44.409Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T15:41:44.409Z] GC before operation: completed in 393.344 ms, heap usage 1.054 GB -> 93.520 MB. [2026-02-26T15:42:03.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:42:16.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:42:32.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:42:45.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:42:50.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:42:59.973Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:43:06.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:43:13.245Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:43:15.182Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:43:15.182Z] The best model improves the baseline by 14.52%. [2026-02-26T15:43:15.648Z] Top recommended movies for user id 72: [2026-02-26T15:43:15.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:43:15.648Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:43:15.648Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:43:15.648Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:43:15.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:43:15.648Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (90897.950 ms) ====== [2026-02-26T15:43:15.648Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T15:43:15.648Z] GC before operation: completed in 331.788 ms, heap usage 498.600 MB -> 88.886 MB. [2026-02-26T15:43:35.193Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:43:54.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:44:05.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:44:22.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:44:31.458Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:44:40.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:44:48.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:44:57.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:44:57.167Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:44:57.167Z] The best model improves the baseline by 14.52%. [2026-02-26T15:44:57.729Z] Top recommended movies for user id 72: [2026-02-26T15:44:57.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:44:57.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:44:57.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:44:57.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:44:57.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:44:57.729Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (101846.263 ms) ====== [2026-02-26T15:44:57.729Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T15:44:58.879Z] GC before operation: completed in 1266.618 ms, heap usage 1.447 GB -> 94.447 MB. [2026-02-26T15:45:14.445Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:45:29.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:45:42.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:45:58.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:46:07.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:46:18.973Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:46:28.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:46:37.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:46:38.198Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:46:38.198Z] The best model improves the baseline by 14.52%. [2026-02-26T15:46:38.749Z] Top recommended movies for user id 72: [2026-02-26T15:46:38.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:46:38.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:46:38.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:46:38.749Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:46:38.749Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:46:38.749Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (99810.252 ms) ====== [2026-02-26T15:46:38.749Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T15:46:39.934Z] GC before operation: completed in 1015.407 ms, heap usage 132.807 MB -> 88.643 MB. [2026-02-26T15:46:55.776Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:47:09.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:47:25.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:47:41.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:47:49.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:47:58.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:48:07.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:48:17.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:48:17.148Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:48:17.148Z] The best model improves the baseline by 14.52%. [2026-02-26T15:48:17.148Z] Top recommended movies for user id 72: [2026-02-26T15:48:17.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:48:17.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:48:17.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:48:17.148Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:48:17.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:48:17.148Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (97445.313 ms) ====== [2026-02-26T15:48:17.148Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T15:48:17.853Z] GC before operation: completed in 401.453 ms, heap usage 418.390 MB -> 89.024 MB. [2026-02-26T15:48:33.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:48:51.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:49:09.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:49:18.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:49:27.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:49:34.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:49:43.017Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:49:52.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:49:52.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:49:52.377Z] The best model improves the baseline by 14.52%. [2026-02-26T15:49:52.377Z] Top recommended movies for user id 72: [2026-02-26T15:49:52.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:49:52.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:49:52.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:49:52.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:49:52.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:49:52.377Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (94724.374 ms) ====== [2026-02-26T15:49:52.377Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T15:49:53.006Z] GC before operation: completed in 426.586 ms, heap usage 726.438 MB -> 92.863 MB. [2026-02-26T15:50:09.293Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:50:24.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:50:43.802Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:50:55.044Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:51:02.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:51:09.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:51:14.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:51:21.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:51:21.980Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:51:21.980Z] The best model improves the baseline by 14.52%. [2026-02-26T15:51:23.283Z] Top recommended movies for user id 72: [2026-02-26T15:51:23.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:51:23.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:51:23.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:51:23.283Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:51:23.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:51:23.283Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (90323.249 ms) ====== [2026-02-26T15:51:23.283Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T15:51:23.283Z] GC before operation: completed in 298.602 ms, heap usage 533.529 MB -> 90.511 MB. [2026-02-26T15:51:38.754Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:51:59.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:52:14.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:52:26.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:52:33.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:52:41.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:52:48.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:52:55.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:52:56.504Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:52:56.504Z] The best model improves the baseline by 14.52%. [2026-02-26T15:52:57.641Z] Top recommended movies for user id 72: [2026-02-26T15:52:57.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:52:57.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:52:57.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:52:57.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:52:57.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:52:57.641Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (94129.219 ms) ====== [2026-02-26T15:52:57.641Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T15:52:57.641Z] GC before operation: completed in 294.787 ms, heap usage 629.698 MB -> 92.785 MB. [2026-02-26T15:53:15.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:53:29.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:53:45.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:53:56.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:54:10.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:54:18.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:54:29.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:54:38.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:54:38.939Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:54:38.939Z] The best model improves the baseline by 14.52%. [2026-02-26T15:54:39.381Z] Top recommended movies for user id 72: [2026-02-26T15:54:39.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:54:39.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:54:39.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:54:39.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:54:39.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:54:39.381Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (101391.694 ms) ====== [2026-02-26T15:54:39.381Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T15:54:39.837Z] GC before operation: completed in 431.999 ms, heap usage 870.756 MB -> 94.208 MB. [2026-02-26T15:54:55.503Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:55:10.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:55:23.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:55:36.869Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:55:45.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:55:54.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:56:01.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:56:07.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:56:08.690Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:56:08.690Z] The best model improves the baseline by 14.52%. [2026-02-26T15:56:10.588Z] Top recommended movies for user id 72: [2026-02-26T15:56:10.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:56:10.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:56:10.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:56:10.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:56:10.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:56:10.588Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (90705.385 ms) ====== [2026-02-26T15:56:10.588Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T15:56:10.588Z] GC before operation: completed in 246.464 ms, heap usage 424.512 MB -> 89.307 MB. [2026-02-26T15:56:29.013Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:56:40.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:56:56.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:57:07.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:57:16.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:57:26.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:57:35.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:57:43.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:57:45.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:57:45.047Z] The best model improves the baseline by 14.52%. [2026-02-26T15:57:45.047Z] Top recommended movies for user id 72: [2026-02-26T15:57:45.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:57:45.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:57:45.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:57:45.047Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:57:45.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:57:45.047Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (94588.791 ms) ====== [2026-02-26T15:57:45.047Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T15:57:45.497Z] GC before operation: completed in 349.720 ms, heap usage 790.817 MB -> 93.265 MB. [2026-02-26T15:57:58.861Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:58:18.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:58:33.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T15:58:44.964Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T15:58:52.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T15:58:59.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T15:59:07.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T15:59:13.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T15:59:14.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T15:59:14.063Z] The best model improves the baseline by 14.52%. [2026-02-26T15:59:14.539Z] Top recommended movies for user id 72: [2026-02-26T15:59:14.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T15:59:14.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T15:59:14.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T15:59:14.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T15:59:14.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T15:59:14.539Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (88868.013 ms) ====== [2026-02-26T15:59:14.539Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T15:59:14.988Z] GC before operation: completed in 359.862 ms, heap usage 736.069 MB -> 92.870 MB. [2026-02-26T15:59:31.427Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T15:59:42.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T15:59:58.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:00:11.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:00:18.947Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:00:26.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:00:32.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:00:39.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:00:40.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T16:00:40.979Z] The best model improves the baseline by 14.52%. [2026-02-26T16:00:40.979Z] Top recommended movies for user id 72: [2026-02-26T16:00:40.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T16:00:40.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T16:00:40.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T16:00:40.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T16:00:40.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T16:00:40.979Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (86388.273 ms) ====== [2026-02-26T16:00:40.979Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T16:00:41.488Z] GC before operation: completed in 274.703 ms, heap usage 986.876 MB -> 94.174 MB. [2026-02-26T16:00:54.731Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:01:10.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:01:23.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:01:34.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:01:41.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:01:48.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:01:57.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:02:03.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:02:03.738Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T16:02:04.175Z] The best model improves the baseline by 14.52%. [2026-02-26T16:02:04.175Z] Top recommended movies for user id 72: [2026-02-26T16:02:04.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T16:02:04.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T16:02:04.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T16:02:04.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T16:02:04.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T16:02:04.175Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (82846.854 ms) ====== [2026-02-26T16:02:04.175Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T16:02:04.669Z] GC before operation: completed in 461.515 ms, heap usage 102.805 MB -> 89.134 MB. [2026-02-26T16:02:20.274Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:02:33.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:02:45.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:03:02.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:03:10.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:03:19.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:03:31.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:03:43.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:03:43.051Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T16:03:43.051Z] The best model improves the baseline by 14.52%. [2026-02-26T16:03:43.705Z] Top recommended movies for user id 72: [2026-02-26T16:03:43.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T16:03:43.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T16:03:43.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T16:03:43.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T16:03:43.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T16:03:43.705Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (98877.973 ms) ====== [2026-02-26T16:03:43.705Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T16:03:45.105Z] GC before operation: completed in 1007.765 ms, heap usage 183.151 MB -> 89.080 MB. [2026-02-26T16:04:03.568Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:04:18.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:04:31.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:04:47.449Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:04:54.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:05:03.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:05:10.108Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:05:19.077Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:05:20.091Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T16:05:20.607Z] The best model improves the baseline by 14.52%. [2026-02-26T16:05:21.053Z] Top recommended movies for user id 72: [2026-02-26T16:05:21.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T16:05:21.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T16:05:21.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T16:05:21.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T16:05:21.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T16:05:21.053Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (96459.341 ms) ====== [2026-02-26T16:05:21.053Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T16:05:21.564Z] GC before operation: completed in 300.722 ms, heap usage 172.554 MB -> 88.985 MB. [2026-02-26T16:05:37.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:05:56.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:06:12.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:06:27.725Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:06:31.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:06:39.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:06:48.911Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:06:57.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:06:57.140Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T16:06:57.945Z] The best model improves the baseline by 14.52%. [2026-02-26T16:06:58.658Z] Top recommended movies for user id 72: [2026-02-26T16:06:58.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T16:06:58.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T16:06:58.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T16:06:58.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T16:06:58.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T16:06:58.658Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (96838.953 ms) ====== [2026-02-26T16:06:58.658Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T16:06:59.101Z] GC before operation: completed in 931.536 ms, heap usage 1.254 GB -> 96.138 MB. [2026-02-26T16:07:14.431Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:07:29.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:07:46.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:08:01.835Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:08:08.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:08:17.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:08:25.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:08:31.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:08:32.319Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-26T16:08:32.803Z] The best model improves the baseline by 14.52%. [2026-02-26T16:08:33.251Z] Top recommended movies for user id 72: [2026-02-26T16:08:33.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T16:08:33.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T16:08:33.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T16:08:33.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T16:08:33.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T16:08:33.251Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (93888.227 ms) ====== [2026-02-26T16:08:40.514Z] ----------------------------------- [2026-02-26T16:08:40.514Z] renaissance-movie-lens_0_PASSED [2026-02-26T16:08:40.514Z] ----------------------------------- [2026-02-26T16:08:40.514Z] [2026-02-26T16:08:40.514Z] TEST TEARDOWN: [2026-02-26T16:08:40.514Z] Nothing to be done for teardown. [2026-02-26T16:08:40.948Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 11:08:40 2026 Epoch Time (ms): 1772122120601