[2026-02-08T10:09:25.263Z] Running test renaissance-movie-lens_0 ... [2026-02-08T10:09:25.263Z] =============================================== [2026-02-08T10:09:25.653Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 10:09:25 2026 Epoch Time (ms): 1770545365357 [2026-02-08T10:09:25.653Z] variation: NoOptions [2026-02-08T10:09:26.004Z] JVM_OPTIONS: [2026-02-08T10:09:26.004Z] { \ [2026-02-08T10:09:26.004Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T10:09:26.004Z] echo "Nothing to be done for setup."; \ [2026-02-08T10:09:26.004Z] mkdir -p "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705428298050\\renaissance-movie-lens_0"; \ [2026-02-08T10:09:26.004Z] cd "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705428298050\\renaissance-movie-lens_0"; \ [2026-02-08T10:09:26.004Z] echo ""; echo "TESTING:"; \ [2026-02-08T10:09:26.004Z] "c:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705428298050\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-08T10:09:26.004Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705428298050\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T10:09:26.004Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T10:09:26.004Z] echo "Nothing to be done for teardown."; \ [2026-02-08T10:09:26.004Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705428298050\\TestTargetResult"; [2026-02-08T10:09:26.419Z] [2026-02-08T10:09:26.419Z] TEST SETUP: [2026-02-08T10:09:26.419Z] Nothing to be done for setup. [2026-02-08T10:09:26.419Z] [2026-02-08T10:09:26.419Z] TESTING: [2026-02-08T10:10:00.067Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-08T10:10:11.391Z] 10:10:10.329 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. [2026-02-08T10:10:15.586Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T10:10:16.287Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T10:10:16.287Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T10:10:16.694Z] GC before operation: completed in 244.976 ms, heap usage 268.408 MB -> 76.702 MB. [2026-02-08T10:10:40.205Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:10:59.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:11:19.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:11:38.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:11:46.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:11:57.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:12:08.404Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:12:19.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:12:19.958Z] 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. [2026-02-08T10:12:19.958Z] The best model improves the baseline by 14.52%. [2026-02-08T10:12:20.928Z] Top recommended movies for user id 72: [2026-02-08T10:12:20.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:12:20.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:12:20.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:12:20.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:12:20.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:12:20.928Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (124378.982 ms) ====== [2026-02-08T10:12:20.928Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T10:12:20.928Z] GC before operation: completed in 259.655 ms, heap usage 726.685 MB -> 94.630 MB. [2026-02-08T10:12:40.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:12:53.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:13:13.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:13:29.400Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:13:38.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:13:47.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:13:58.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:14:07.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:14:09.210Z] 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. [2026-02-08T10:14:09.210Z] The best model improves the baseline by 14.52%. [2026-02-08T10:14:09.777Z] Top recommended movies for user id 72: [2026-02-08T10:14:09.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:14:09.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:14:09.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:14:09.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:14:09.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:14:09.778Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (108840.198 ms) ====== [2026-02-08T10:14:09.778Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T10:14:10.135Z] GC before operation: completed in 221.660 ms, heap usage 230.570 MB -> 91.645 MB. [2026-02-08T10:14:26.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:14:45.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:15:02.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:15:18.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:15:27.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:15:38.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:15:47.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:15:56.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:15:58.228Z] 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. [2026-02-08T10:15:58.228Z] The best model improves the baseline by 14.52%. [2026-02-08T10:15:59.109Z] Top recommended movies for user id 72: [2026-02-08T10:15:59.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:15:59.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:15:59.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:15:59.109Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:15:59.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:15:59.109Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (108940.015 ms) ====== [2026-02-08T10:15:59.109Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T10:15:59.109Z] GC before operation: completed in 220.384 ms, heap usage 267.421 MB -> 89.999 MB. [2026-02-08T10:16:15.336Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:16:34.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:16:50.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:17:07.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:17:16.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:17:27.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:17:36.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:17:42.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:17:44.050Z] 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. [2026-02-08T10:17:44.050Z] The best model improves the baseline by 14.52%. [2026-02-08T10:17:44.493Z] Top recommended movies for user id 72: [2026-02-08T10:17:44.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:17:44.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:17:44.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:17:44.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:17:44.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:17:44.493Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (105217.788 ms) ====== [2026-02-08T10:17:44.493Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T10:17:44.493Z] GC before operation: completed in 183.686 ms, heap usage 457.775 MB -> 90.587 MB. [2026-02-08T10:17:57.853Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:18:17.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:18:33.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:18:49.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:18:59.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:19:10.291Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:19:17.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:19:25.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:19:25.667Z] 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. [2026-02-08T10:19:25.667Z] The best model improves the baseline by 14.52%. [2026-02-08T10:19:26.064Z] Top recommended movies for user id 72: [2026-02-08T10:19:26.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:19:26.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:19:26.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:19:26.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:19:26.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:19:26.064Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (101579.415 ms) ====== [2026-02-08T10:19:26.064Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T10:19:26.064Z] GC before operation: completed in 148.553 ms, heap usage 127.546 MB -> 90.083 MB. [2026-02-08T10:19:39.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:19:52.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:20:08.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:20:25.184Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:20:34.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:20:43.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:20:54.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:21:03.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:21:05.234Z] 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. [2026-02-08T10:21:05.234Z] The best model improves the baseline by 14.52%. [2026-02-08T10:21:06.111Z] Top recommended movies for user id 72: [2026-02-08T10:21:06.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:21:06.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:21:06.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:21:06.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:21:06.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:21:06.111Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (99673.694 ms) ====== [2026-02-08T10:21:06.111Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T10:21:06.111Z] GC before operation: completed in 196.525 ms, heap usage 226.655 MB -> 90.542 MB. [2026-02-08T10:21:22.287Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:21:41.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:22:01.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:22:14.636Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:22:25.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:22:34.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:22:44.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:22:51.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:22:52.042Z] 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. [2026-02-08T10:22:52.042Z] The best model improves the baseline by 14.52%. [2026-02-08T10:22:52.450Z] Top recommended movies for user id 72: [2026-02-08T10:22:52.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:22:52.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:22:52.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:22:52.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:22:52.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:22:52.450Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (106341.998 ms) ====== [2026-02-08T10:22:52.450Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T10:22:52.450Z] GC before operation: completed in 159.662 ms, heap usage 100.215 MB -> 90.322 MB. [2026-02-08T10:23:05.771Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:23:19.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:23:32.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:23:48.896Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:23:58.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:24:08.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:24:19.611Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:24:28.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:24:29.535Z] 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. [2026-02-08T10:24:29.535Z] The best model improves the baseline by 14.52%. [2026-02-08T10:24:29.985Z] Top recommended movies for user id 72: [2026-02-08T10:24:29.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:24:29.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:24:29.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:24:29.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:24:29.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:24:29.985Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (97320.098 ms) ====== [2026-02-08T10:24:29.985Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T10:24:29.985Z] GC before operation: completed in 196.896 ms, heap usage 222.838 MB -> 90.790 MB. [2026-02-08T10:24:46.167Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:25:05.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:25:22.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:25:41.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:25:46.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:25:53.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:26:02.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:26:09.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:26:09.583Z] 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. [2026-02-08T10:26:09.583Z] The best model improves the baseline by 14.52%. [2026-02-08T10:26:10.093Z] Top recommended movies for user id 72: [2026-02-08T10:26:10.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:26:10.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:26:10.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:26:10.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:26:10.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:26:10.093Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (100018.251 ms) ====== [2026-02-08T10:26:10.093Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T10:26:10.481Z] GC before operation: completed in 144.869 ms, heap usage 185.488 MB -> 90.537 MB. [2026-02-08T10:26:29.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:26:46.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:27:05.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:27:18.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:27:30.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:27:39.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:27:50.612Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:27:59.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:28:00.211Z] 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. [2026-02-08T10:28:00.627Z] The best model improves the baseline by 14.52%. [2026-02-08T10:28:01.072Z] Top recommended movies for user id 72: [2026-02-08T10:28:01.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:28:01.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:28:01.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:28:01.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:28:01.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:28:01.072Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (110730.309 ms) ====== [2026-02-08T10:28:01.072Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T10:28:01.072Z] GC before operation: completed in 199.521 ms, heap usage 165.339 MB -> 90.809 MB. [2026-02-08T10:28:17.266Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:28:36.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:28:56.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:29:09.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:29:18.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:29:26.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:29:37.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:29:46.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:29:47.229Z] 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. [2026-02-08T10:29:47.229Z] The best model improves the baseline by 14.52%. [2026-02-08T10:29:47.811Z] Top recommended movies for user id 72: [2026-02-08T10:29:47.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:29:47.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:29:47.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:29:47.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:29:47.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:29:47.811Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (106562.383 ms) ====== [2026-02-08T10:29:47.811Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T10:29:48.167Z] GC before operation: completed in 203.030 ms, heap usage 177.858 MB -> 90.462 MB. [2026-02-08T10:30:07.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:30:23.800Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:30:39.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:30:56.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:31:05.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:31:14.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:31:25.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:31:34.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:31:35.211Z] 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. [2026-02-08T10:31:35.211Z] The best model improves the baseline by 14.52%. [2026-02-08T10:31:36.121Z] Top recommended movies for user id 72: [2026-02-08T10:31:36.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:31:36.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:31:36.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:31:36.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:31:36.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:31:36.121Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (107805.406 ms) ====== [2026-02-08T10:31:36.121Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T10:31:36.121Z] GC before operation: completed in 197.756 ms, heap usage 121.408 MB -> 90.698 MB. [2026-02-08T10:31:52.340Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:32:11.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:32:28.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:32:47.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:32:55.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:33:06.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:33:15.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:33:24.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:33:26.000Z] 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. [2026-02-08T10:33:26.000Z] The best model improves the baseline by 14.52%. [2026-02-08T10:33:26.436Z] Top recommended movies for user id 72: [2026-02-08T10:33:26.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:33:26.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:33:26.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:33:26.436Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:33:26.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:33:26.436Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (110402.232 ms) ====== [2026-02-08T10:33:26.436Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T10:33:26.815Z] GC before operation: completed in 202.455 ms, heap usage 324.229 MB -> 90.965 MB. [2026-02-08T10:33:42.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:33:59.149Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:34:18.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:34:32.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:34:41.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:34:50.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:35:01.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:35:10.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:35:10.708Z] 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. [2026-02-08T10:35:10.708Z] The best model improves the baseline by 14.52%. [2026-02-08T10:35:11.431Z] Top recommended movies for user id 72: [2026-02-08T10:35:11.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:35:11.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:35:11.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:35:11.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:35:11.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:35:11.431Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (104602.742 ms) ====== [2026-02-08T10:35:11.431Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T10:35:11.781Z] GC before operation: completed in 210.117 ms, heap usage 772.283 MB -> 94.573 MB. [2026-02-08T10:35:27.954Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:35:44.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:36:03.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:36:19.823Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:36:27.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:36:36.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:36:47.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:36:56.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:36:57.490Z] 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. [2026-02-08T10:36:57.490Z] The best model improves the baseline by 14.52%. [2026-02-08T10:36:58.323Z] Top recommended movies for user id 72: [2026-02-08T10:36:58.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:36:58.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:36:58.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:36:58.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:36:58.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:36:58.323Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (106745.640 ms) ====== [2026-02-08T10:36:58.323Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T10:36:58.323Z] GC before operation: completed in 194.401 ms, heap usage 348.435 MB -> 91.078 MB. [2026-02-08T10:37:14.564Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:37:34.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:37:50.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:38:06.471Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:38:15.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:38:24.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:38:35.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:38:45.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:38:45.474Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:38:45.474Z] The best model improves the baseline by 14.52%. [2026-02-08T10:38:45.993Z] Top recommended movies for user id 72: [2026-02-08T10:38:45.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:38:45.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:38:45.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:38:45.994Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:38:45.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:38:45.994Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (107599.366 ms) ====== [2026-02-08T10:38:45.994Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T10:38:46.432Z] GC before operation: completed in 197.658 ms, heap usage 351.059 MB -> 90.870 MB. [2026-02-08T10:39:02.660Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:39:18.862Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:39:38.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:39:54.558Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:40:02.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:40:13.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:40:22.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:40:31.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:40:31.997Z] 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. [2026-02-08T10:40:31.997Z] The best model improves the baseline by 14.52%. [2026-02-08T10:40:32.872Z] Top recommended movies for user id 72: [2026-02-08T10:40:32.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:40:32.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:40:32.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:40:32.872Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:40:32.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:40:32.872Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (106480.949 ms) ====== [2026-02-08T10:40:32.872Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T10:40:32.872Z] GC before operation: completed in 204.635 ms, heap usage 308.779 MB -> 93.300 MB. [2026-02-08T10:40:49.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:41:05.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:41:24.722Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:41:38.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:41:47.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:41:56.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:42:07.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:42:17.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:42:17.462Z] 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. [2026-02-08T10:42:17.805Z] The best model improves the baseline by 14.52%. [2026-02-08T10:42:18.230Z] Top recommended movies for user id 72: [2026-02-08T10:42:18.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:42:18.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:42:18.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:42:18.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:42:18.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:42:18.230Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (105319.076 ms) ====== [2026-02-08T10:42:18.230Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T10:42:18.230Z] GC before operation: completed in 196.534 ms, heap usage 374.769 MB -> 90.902 MB. [2026-02-08T10:42:34.486Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:42:53.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:43:10.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:43:26.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:43:35.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:43:44.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:43:55.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:44:04.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:44:04.931Z] 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. [2026-02-08T10:44:04.931Z] The best model improves the baseline by 14.52%. [2026-02-08T10:44:05.548Z] Top recommended movies for user id 72: [2026-02-08T10:44:05.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:44:05.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:44:05.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:44:05.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:44:05.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:44:05.548Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (107163.598 ms) ====== [2026-02-08T10:44:05.548Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T10:44:05.998Z] GC before operation: completed in 211.535 ms, heap usage 121.475 MB -> 90.652 MB. [2026-02-08T10:44:22.207Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:44:38.392Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:44:51.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:45:08.124Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:45:17.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:45:26.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:45:37.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:45:46.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:45:47.141Z] 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. [2026-02-08T10:45:47.141Z] The best model improves the baseline by 14.52%. [2026-02-08T10:45:47.578Z] Top recommended movies for user id 72: [2026-02-08T10:45:47.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:45:47.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:45:47.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:45:47.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:45:47.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:45:47.578Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (101897.375 ms) ====== [2026-02-08T10:45:48.854Z] ----------------------------------- [2026-02-08T10:45:48.854Z] renaissance-movie-lens_0_PASSED [2026-02-08T10:45:48.854Z] ----------------------------------- [2026-02-08T10:45:50.045Z] [2026-02-08T10:45:50.045Z] TEST TEARDOWN: [2026-02-08T10:45:50.045Z] Nothing to be done for teardown. [2026-02-08T10:45:50.045Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 10:45:49 2026 Epoch Time (ms): 1770547549890