[2026-02-07T21:51:02.214Z] Running test renaissance-movie-lens_0 ... [2026-02-07T21:51:02.214Z] =============================================== [2026-02-07T21:51:02.690Z] renaissance-movie-lens_0 Start Time: Sat Feb 7 16:51:01 2026 Epoch Time (ms): 1770501061966 [2026-02-07T21:51:02.690Z] variation: NoOptions [2026-02-07T21:51:02.690Z] JVM_OPTIONS: [2026-02-07T21:51:02.690Z] { \ [2026-02-07T21:51:02.690Z] echo ""; echo "TEST SETUP:"; \ [2026-02-07T21:51:02.690Z] echo "Nothing to be done for setup."; \ [2026-02-07T21:51:02.690Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17704990272864/renaissance-movie-lens_0"; \ [2026-02-07T21:51:02.690Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17704990272864/renaissance-movie-lens_0"; \ [2026-02-07T21:51:02.690Z] echo ""; echo "TESTING:"; \ [2026-02-07T21:51:02.690Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/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_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17704990272864/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-07T21:51:02.690Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17704990272864/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-07T21:51:02.690Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-07T21:51:02.690Z] echo "Nothing to be done for teardown."; \ [2026-02-07T21:51:02.690Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17704990272864/TestTargetResult"; [2026-02-07T21:51:02.690Z] [2026-02-07T21:51:02.690Z] TEST SETUP: [2026-02-07T21:51:02.690Z] Nothing to be done for setup. [2026-02-07T21:51:02.690Z] [2026-02-07T21:51:02.690Z] TESTING: [2026-02-07T21:51:33.197Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-07T21:52:04.097Z] 16:52:00.998 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-07T21:52:10.704Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-07T21:52:13.268Z] Training: 60056, validation: 20285, test: 19854 [2026-02-07T21:52:13.268Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-07T21:52:13.924Z] GC before operation: completed in 511.043 ms, heap usage 361.326 MB -> 74.671 MB. [2026-02-07T21:52:58.554Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T21:53:25.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T21:53:51.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T21:54:07.355Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T21:54:21.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T21:54:32.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T21:54:42.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T21:54:51.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T21:54:53.582Z] 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. [2026-02-07T21:54:53.582Z] The best model improves the baseline by 14.52%. [2026-02-07T21:54:54.816Z] Top recommended movies for user id 72: [2026-02-07T21:54:54.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T21:54:54.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T21:54:54.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T21:54:54.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T21:54:54.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T21:54:54.816Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (160993.760 ms) ====== [2026-02-07T21:54:54.816Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-07T21:54:55.873Z] GC before operation: completed in 1392.127 ms, heap usage 480.845 MB -> 87.099 MB. [2026-02-07T21:55:18.645Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T21:55:37.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T21:55:56.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T21:56:13.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T21:56:20.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T21:56:27.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T21:56:38.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T21:56:48.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T21:56:48.657Z] 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. [2026-02-07T21:56:48.657Z] The best model improves the baseline by 14.52%. [2026-02-07T21:56:49.106Z] Top recommended movies for user id 72: [2026-02-07T21:56:49.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T21:56:49.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T21:56:49.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T21:56:49.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T21:56:49.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T21:56:49.106Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (113413.204 ms) ====== [2026-02-07T21:56:49.106Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-07T21:56:49.550Z] GC before operation: completed in 417.519 ms, heap usage 143.924 MB -> 89.608 MB. [2026-02-07T21:57:08.184Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T21:57:20.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T21:57:33.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T21:57:49.769Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T21:58:09.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T21:58:17.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T21:58:26.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T21:58:36.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T21:58:36.294Z] 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. [2026-02-07T21:58:36.294Z] The best model improves the baseline by 14.52%. [2026-02-07T21:58:37.973Z] Top recommended movies for user id 72: [2026-02-07T21:58:37.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T21:58:37.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T21:58:37.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T21:58:37.973Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T21:58:37.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T21:58:37.973Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (108027.482 ms) ====== [2026-02-07T21:58:37.973Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-07T21:58:37.973Z] GC before operation: completed in 401.284 ms, heap usage 453.317 MB -> 90.798 MB. [2026-02-07T21:59:04.682Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T21:59:17.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T21:59:30.654Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T21:59:43.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T21:59:51.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T21:59:59.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:00:08.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:00:15.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:00:17.852Z] 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. [2026-02-07T22:00:18.296Z] The best model improves the baseline by 14.52%. [2026-02-07T22:00:18.784Z] Top recommended movies for user id 72: [2026-02-07T22:00:18.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:00:18.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:00:18.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:00:18.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:00:18.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:00:18.784Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (100371.178 ms) ====== [2026-02-07T22:00:18.784Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-07T22:00:19.359Z] GC before operation: completed in 564.197 ms, heap usage 630.687 MB -> 92.311 MB. [2026-02-07T22:00:38.903Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:00:54.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:01:10.729Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:01:29.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:01:36.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:01:46.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:01:55.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:02:05.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:02:05.348Z] 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. [2026-02-07T22:02:05.907Z] The best model improves the baseline by 14.52%. [2026-02-07T22:02:06.983Z] Top recommended movies for user id 72: [2026-02-07T22:02:06.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:02:06.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:02:06.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:02:06.984Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:02:06.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:02:06.984Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (107697.417 ms) ====== [2026-02-07T22:02:06.984Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-07T22:02:07.465Z] GC before operation: completed in 614.147 ms, heap usage 387.606 MB -> 88.701 MB. [2026-02-07T22:02:26.219Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:02:42.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:03:01.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:03:14.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:03:22.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:03:29.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:03:39.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:03:50.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:03:51.177Z] 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. [2026-02-07T22:03:51.177Z] The best model improves the baseline by 14.52%. [2026-02-07T22:03:51.651Z] Top recommended movies for user id 72: [2026-02-07T22:03:51.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:03:51.651Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:03:51.651Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:03:51.651Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:03:51.651Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:03:51.651Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (104151.107 ms) ====== [2026-02-07T22:03:51.651Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-07T22:03:52.102Z] GC before operation: completed in 475.644 ms, heap usage 328.797 MB -> 88.940 MB. [2026-02-07T22:04:11.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:04:30.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:04:43.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:04:59.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:05:06.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:05:15.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:05:25.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:05:34.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:05:34.401Z] 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. [2026-02-07T22:05:34.871Z] The best model improves the baseline by 14.52%. [2026-02-07T22:05:35.449Z] Top recommended movies for user id 72: [2026-02-07T22:05:35.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:05:35.449Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:05:35.449Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:05:35.449Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:05:35.449Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:05:35.449Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (103175.515 ms) ====== [2026-02-07T22:05:35.449Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-07T22:05:36.526Z] GC before operation: completed in 1198.837 ms, heap usage 133.289 MB -> 92.254 MB. [2026-02-07T22:05:58.886Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:06:10.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:06:23.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:06:37.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:06:48.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:06:55.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:07:01.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:07:09.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:07:11.127Z] 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. [2026-02-07T22:07:11.127Z] The best model improves the baseline by 14.52%. [2026-02-07T22:07:11.629Z] Top recommended movies for user id 72: [2026-02-07T22:07:11.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:07:11.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:07:11.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:07:11.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:07:11.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:07:11.630Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (94945.736 ms) ====== [2026-02-07T22:07:11.630Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-07T22:07:11.630Z] GC before operation: completed in 454.431 ms, heap usage 457.857 MB -> 89.275 MB. [2026-02-07T22:07:34.628Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:07:51.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:08:07.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:08:23.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:08:30.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:08:39.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:08:49.547Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:08:59.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:08:59.141Z] 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. [2026-02-07T22:08:59.141Z] The best model improves the baseline by 14.52%. [2026-02-07T22:09:01.073Z] Top recommended movies for user id 72: [2026-02-07T22:09:01.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:09:01.073Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:09:01.073Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:09:01.073Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:09:01.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:09:01.073Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (109250.004 ms) ====== [2026-02-07T22:09:01.073Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-07T22:09:01.611Z] GC before operation: completed in 457.063 ms, heap usage 408.105 MB -> 89.042 MB. [2026-02-07T22:09:21.038Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:09:36.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:09:50.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:10:06.495Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:10:15.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:10:27.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:10:38.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:10:48.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:10:50.626Z] 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. [2026-02-07T22:10:50.626Z] The best model improves the baseline by 14.52%. [2026-02-07T22:10:51.151Z] Top recommended movies for user id 72: [2026-02-07T22:10:51.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:10:51.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:10:51.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:10:51.151Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:10:51.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:10:51.151Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (109496.553 ms) ====== [2026-02-07T22:10:51.151Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-07T22:10:51.718Z] GC before operation: completed in 742.627 ms, heap usage 348.070 MB -> 89.152 MB. [2026-02-07T22:11:19.223Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:11:35.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:11:51.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:12:04.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:12:12.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:12:24.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:12:33.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:12:41.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:12:42.885Z] 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. [2026-02-07T22:12:42.885Z] The best model improves the baseline by 14.52%. [2026-02-07T22:12:43.426Z] Top recommended movies for user id 72: [2026-02-07T22:12:43.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:12:43.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:12:43.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:12:43.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:12:43.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:12:43.426Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (111446.708 ms) ====== [2026-02-07T22:12:43.426Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-07T22:12:44.655Z] GC before operation: completed in 1436.814 ms, heap usage 244.839 MB -> 88.830 MB. [2026-02-07T22:13:03.317Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:13:22.520Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:13:35.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:13:48.532Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:13:57.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:14:03.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:14:12.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:14:21.876Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:14:22.550Z] 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. [2026-02-07T22:14:22.550Z] The best model improves the baseline by 14.52%. [2026-02-07T22:14:24.397Z] Top recommended movies for user id 72: [2026-02-07T22:14:24.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:14:24.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:14:24.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:14:24.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:14:24.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:14:24.397Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (99490.354 ms) ====== [2026-02-07T22:14:24.397Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-07T22:14:24.877Z] GC before operation: completed in 657.266 ms, heap usage 178.302 MB -> 88.930 MB. [2026-02-07T22:14:43.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:15:02.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:15:22.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:15:35.335Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:15:43.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:15:54.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:16:02.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:16:09.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:16:10.055Z] 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. [2026-02-07T22:16:10.055Z] The best model improves the baseline by 14.52%. [2026-02-07T22:16:10.746Z] Top recommended movies for user id 72: [2026-02-07T22:16:10.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:16:10.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:16:10.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:16:10.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:16:10.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:16:10.747Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (105505.182 ms) ====== [2026-02-07T22:16:10.747Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-07T22:16:11.732Z] GC before operation: completed in 1154.272 ms, heap usage 585.497 MB -> 92.733 MB. [2026-02-07T22:16:30.182Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:16:49.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:17:05.661Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:17:18.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:17:26.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:17:35.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:17:43.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:17:54.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:17:54.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T22:17:54.548Z] The best model improves the baseline by 14.52%. [2026-02-07T22:17:55.118Z] Top recommended movies for user id 72: [2026-02-07T22:17:55.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:17:55.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:17:55.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:17:55.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:17:55.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:17:55.118Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (103484.695 ms) ====== [2026-02-07T22:17:55.118Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-07T22:17:55.525Z] GC before operation: completed in 475.385 ms, heap usage 221.240 MB -> 88.875 MB. [2026-02-07T22:18:18.040Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:18:30.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:18:49.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:19:03.746Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:19:14.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:19:22.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:19:32.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:19:40.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:19:41.426Z] 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. [2026-02-07T22:19:41.426Z] The best model improves the baseline by 14.52%. [2026-02-07T22:19:41.934Z] Top recommended movies for user id 72: [2026-02-07T22:19:41.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:19:41.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:19:41.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:19:41.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:19:41.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:19:41.934Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (106683.885 ms) ====== [2026-02-07T22:19:41.934Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-07T22:19:42.956Z] GC before operation: completed in 526.962 ms, heap usage 341.131 MB -> 89.257 MB. [2026-02-07T22:20:01.491Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:20:16.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:20:33.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:20:49.483Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:20:57.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:21:07.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:21:17.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:21:24.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:21:26.775Z] 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. [2026-02-07T22:21:27.273Z] The best model improves the baseline by 14.52%. [2026-02-07T22:21:27.785Z] Top recommended movies for user id 72: [2026-02-07T22:21:27.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:21:27.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:21:27.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:21:27.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:21:27.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:21:27.785Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (105015.367 ms) ====== [2026-02-07T22:21:27.785Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-07T22:21:28.348Z] GC before operation: completed in 458.279 ms, heap usage 358.615 MB -> 89.104 MB. [2026-02-07T22:21:50.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:22:03.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:22:18.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:22:34.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:22:43.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:22:52.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:23:02.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:23:11.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:23:11.898Z] 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. [2026-02-07T22:23:11.898Z] The best model improves the baseline by 14.52%. [2026-02-07T22:23:12.411Z] Top recommended movies for user id 72: [2026-02-07T22:23:12.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:23:12.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:23:12.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:23:12.411Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:23:12.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:23:12.412Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (104089.607 ms) ====== [2026-02-07T22:23:12.412Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-07T22:23:13.551Z] GC before operation: completed in 1178.981 ms, heap usage 626.070 MB -> 92.813 MB. [2026-02-07T22:23:32.757Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:23:51.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:24:08.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:24:27.493Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:24:32.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:24:42.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:24:51.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:25:01.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:25:01.510Z] 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. [2026-02-07T22:25:01.510Z] The best model improves the baseline by 14.52%. [2026-02-07T22:25:02.105Z] Top recommended movies for user id 72: [2026-02-07T22:25:02.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:25:02.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:25:02.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:25:02.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:25:02.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:25:02.105Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (108698.746 ms) ====== [2026-02-07T22:25:02.105Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-07T22:25:03.189Z] GC before operation: completed in 1255.197 ms, heap usage 358.594 MB -> 89.133 MB. [2026-02-07T22:25:21.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:25:40.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:25:57.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:26:10.777Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:26:22.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:26:30.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:26:41.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:26:50.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:26:50.349Z] 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. [2026-02-07T22:26:50.839Z] The best model improves the baseline by 14.52%. [2026-02-07T22:26:51.279Z] Top recommended movies for user id 72: [2026-02-07T22:26:51.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:26:51.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:26:51.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:26:51.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:26:51.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:26:51.279Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (107778.465 ms) ====== [2026-02-07T22:26:51.279Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-07T22:26:51.844Z] GC before operation: completed in 563.441 ms, heap usage 585.541 MB -> 94.478 MB. [2026-02-07T22:27:10.280Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T22:27:28.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T22:27:44.207Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T22:27:57.156Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T22:28:03.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T22:28:12.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T22:28:22.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T22:28:31.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T22:28:32.341Z] 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. [2026-02-07T22:28:32.341Z] The best model improves the baseline by 14.52%. [2026-02-07T22:28:32.999Z] Top recommended movies for user id 72: [2026-02-07T22:28:32.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T22:28:32.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T22:28:32.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T22:28:32.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T22:28:32.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T22:28:32.999Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (101290.671 ms) ====== [2026-02-07T22:28:38.831Z] ----------------------------------- [2026-02-07T22:28:38.832Z] renaissance-movie-lens_0_PASSED [2026-02-07T22:28:38.832Z] ----------------------------------- [2026-02-07T22:28:38.832Z] [2026-02-07T22:28:38.832Z] TEST TEARDOWN: [2026-02-07T22:28:38.832Z] Nothing to be done for teardown. [2026-02-07T22:28:39.341Z] renaissance-movie-lens_0 Finish Time: Sat Feb 7 17:28:39 2026 Epoch Time (ms): 1770503319127