[2026-02-21T11:06:30.734Z] Running test renaissance-movie-lens_0 ... [2026-02-21T11:06:30.734Z] =============================================== [2026-02-21T11:06:30.734Z] renaissance-movie-lens_0 Start Time: Sat Feb 21 06:06:30 2026 Epoch Time (ms): 1771671990471 [2026-02-21T11:06:30.734Z] variation: NoOptions [2026-02-21T11:06:31.292Z] JVM_OPTIONS: [2026-02-21T11:06:31.292Z] { \ [2026-02-21T11:06:31.292Z] echo ""; echo "TEST SETUP:"; \ [2026-02-21T11:06:31.292Z] echo "Nothing to be done for setup."; \ [2026-02-21T11:06:31.292Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17716701106254/renaissance-movie-lens_0"; \ [2026-02-21T11:06:31.292Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17716701106254/renaissance-movie-lens_0"; \ [2026-02-21T11:06:31.292Z] echo ""; echo "TESTING:"; \ [2026-02-21T11:06:31.292Z] "/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_17716701106254/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-21T11:06:31.292Z] 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_17716701106254/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-21T11:06:31.292Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-21T11:06:31.292Z] echo "Nothing to be done for teardown."; \ [2026-02-21T11:06:31.292Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17716701106254/TestTargetResult"; [2026-02-21T11:06:31.292Z] [2026-02-21T11:06:31.292Z] TEST SETUP: [2026-02-21T11:06:31.292Z] Nothing to be done for setup. [2026-02-21T11:06:31.292Z] [2026-02-21T11:06:31.292Z] TESTING: [2026-02-21T11:07:02.387Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-21T11:07:32.528Z] 06:07:28.749 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. [2026-02-21T11:07:38.595Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-21T11:07:42.284Z] Training: 60056, validation: 20285, test: 19854 [2026-02-21T11:07:42.284Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-21T11:07:42.284Z] GC before operation: completed in 482.491 ms, heap usage 485.416 MB -> 74.767 MB. [2026-02-21T11:08:26.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:08:52.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:09:19.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:09:34.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:09:48.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:09:59.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:10:12.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:10:24.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:10:25.341Z] 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. [2026-02-21T11:10:25.828Z] The best model improves the baseline by 14.52%. [2026-02-21T11:10:27.164Z] Top recommended movies for user id 72: [2026-02-21T11:10:27.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:10:27.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:10:27.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:10:27.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:10:27.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:10:27.165Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (164712.719 ms) ====== [2026-02-21T11:10:27.165Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-21T11:10:27.779Z] GC before operation: completed in 613.451 ms, heap usage 524.793 MB -> 87.254 MB. [2026-02-21T11:10:49.753Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:11:11.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:11:26.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:11:43.553Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:11:54.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:12:03.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:12:11.742Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:12:20.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:12:21.889Z] 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. [2026-02-21T11:12:21.889Z] The best model improves the baseline by 14.52%. [2026-02-21T11:12:22.387Z] Top recommended movies for user id 72: [2026-02-21T11:12:22.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:12:22.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:12:22.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:12:22.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:12:22.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:12:22.387Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (114745.258 ms) ====== [2026-02-21T11:12:22.387Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-21T11:12:23.040Z] GC before operation: completed in 461.286 ms, heap usage 216.872 MB -> 87.626 MB. [2026-02-21T11:12:41.117Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:12:53.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:13:09.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:13:23.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:13:27.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:13:34.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:13:41.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:13:46.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:13:47.163Z] 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. [2026-02-21T11:13:47.631Z] The best model improves the baseline by 14.52%. [2026-02-21T11:13:48.056Z] Top recommended movies for user id 72: [2026-02-21T11:13:48.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:13:48.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:13:48.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:13:48.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:13:48.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:13:48.056Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (84995.792 ms) ====== [2026-02-21T11:13:48.056Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-21T11:13:48.056Z] GC before operation: completed in 332.542 ms, heap usage 334.167 MB -> 88.420 MB. [2026-02-21T11:14:03.275Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:14:14.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:14:23.602Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:14:33.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:14:38.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:14:45.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:14:54.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:14:59.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:14:59.106Z] 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. [2026-02-21T11:14:59.106Z] The best model improves the baseline by 14.52%. [2026-02-21T11:14:59.543Z] Top recommended movies for user id 72: [2026-02-21T11:14:59.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:14:59.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:14:59.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:14:59.543Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:14:59.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:14:59.543Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (71454.836 ms) ====== [2026-02-21T11:14:59.544Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-21T11:14:59.928Z] GC before operation: completed in 425.629 ms, heap usage 467.054 MB -> 88.906 MB. [2026-02-21T11:15:18.243Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:15:31.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:15:47.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:16:00.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:16:07.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:16:13.079Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:16:20.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:16:25.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:16:26.504Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-21T11:16:26.504Z] The best model improves the baseline by 14.52%. [2026-02-21T11:16:26.947Z] Top recommended movies for user id 72: [2026-02-21T11:16:26.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:16:26.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:16:26.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:16:26.947Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:16:26.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:16:26.947Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (86963.948 ms) ====== [2026-02-21T11:16:26.947Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-21T11:16:27.392Z] GC before operation: completed in 377.305 ms, heap usage 214.879 MB -> 88.536 MB. [2026-02-21T11:16:42.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:16:53.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:17:01.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:17:10.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:17:18.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:17:22.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:17:27.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:17:32.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:17:32.219Z] 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. [2026-02-21T11:17:32.219Z] The best model improves the baseline by 14.52%. [2026-02-21T11:17:32.650Z] Top recommended movies for user id 72: [2026-02-21T11:17:32.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:17:32.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:17:32.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:17:32.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:17:32.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:17:32.650Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (65292.527 ms) ====== [2026-02-21T11:17:32.650Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-21T11:17:33.190Z] GC before operation: completed in 678.592 ms, heap usage 339.208 MB -> 88.972 MB. [2026-02-21T11:17:43.385Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:17:53.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:18:02.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:18:13.097Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:18:17.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:18:22.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:18:27.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:18:31.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:18:31.802Z] 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. [2026-02-21T11:18:32.376Z] The best model improves the baseline by 14.52%. [2026-02-21T11:18:32.376Z] Top recommended movies for user id 72: [2026-02-21T11:18:32.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:18:32.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:18:32.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:18:32.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:18:32.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:18:32.376Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (59005.091 ms) ====== [2026-02-21T11:18:32.376Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-21T11:18:32.850Z] GC before operation: completed in 637.185 ms, heap usage 122.333 MB -> 91.372 MB. [2026-02-21T11:18:43.259Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:18:52.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:19:03.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:19:11.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:19:16.857Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:19:21.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:19:27.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:19:32.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:19:33.139Z] 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. [2026-02-21T11:19:33.139Z] The best model improves the baseline by 14.52%. [2026-02-21T11:19:33.543Z] Top recommended movies for user id 72: [2026-02-21T11:19:33.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:19:33.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:19:33.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:19:33.543Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:19:33.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:19:33.543Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (60422.473 ms) ====== [2026-02-21T11:19:33.543Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-21T11:19:33.543Z] GC before operation: completed in 252.117 ms, heap usage 550.581 MB -> 89.432 MB. [2026-02-21T11:19:46.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:19:54.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:20:04.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:20:11.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:20:16.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:20:22.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:20:27.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:20:32.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:20:32.549Z] 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. [2026-02-21T11:20:32.549Z] The best model improves the baseline by 14.52%. [2026-02-21T11:20:33.492Z] Top recommended movies for user id 72: [2026-02-21T11:20:33.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:20:33.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:20:33.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:20:33.492Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:20:33.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:20:33.493Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (59641.851 ms) ====== [2026-02-21T11:20:33.493Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-21T11:20:33.493Z] GC before operation: completed in 323.973 ms, heap usage 746.062 MB -> 92.809 MB. [2026-02-21T11:20:46.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:20:56.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:21:05.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:21:16.090Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:21:21.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:21:27.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:21:32.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:21:38.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:21:38.677Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-21T11:21:38.677Z] The best model improves the baseline by 14.52%. [2026-02-21T11:21:39.089Z] Top recommended movies for user id 72: [2026-02-21T11:21:39.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:21:39.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:21:39.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:21:39.089Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:21:39.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:21:39.089Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (65467.520 ms) ====== [2026-02-21T11:21:39.089Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-21T11:21:39.555Z] GC before operation: completed in 232.731 ms, heap usage 357.165 MB -> 89.192 MB. [2026-02-21T11:21:50.114Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:22:01.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:22:10.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:22:17.973Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:22:23.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:22:29.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:22:34.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:22:40.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:22:41.984Z] 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. [2026-02-21T11:22:41.984Z] The best model improves the baseline by 14.52%. [2026-02-21T11:22:41.984Z] Top recommended movies for user id 72: [2026-02-21T11:22:41.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:22:41.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:22:41.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:22:41.984Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:22:41.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:22:41.984Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (62625.696 ms) ====== [2026-02-21T11:22:41.984Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-21T11:22:42.406Z] GC before operation: completed in 364.888 ms, heap usage 424.501 MB -> 88.998 MB. [2026-02-21T11:22:52.667Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:23:03.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:23:11.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:23:18.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:23:23.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:23:28.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:23:34.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:23:38.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:23:39.728Z] 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. [2026-02-21T11:23:39.728Z] The best model improves the baseline by 14.52%. [2026-02-21T11:23:39.728Z] Top recommended movies for user id 72: [2026-02-21T11:23:39.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:23:39.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:23:39.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:23:39.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:23:39.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:23:39.728Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (57365.683 ms) ====== [2026-02-21T11:23:39.728Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-21T11:23:40.215Z] GC before operation: completed in 324.250 ms, heap usage 480.448 MB -> 89.324 MB. [2026-02-21T11:23:51.597Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:24:00.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:24:11.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:24:20.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:24:24.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:24:28.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:24:34.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:24:39.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:24:39.998Z] 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. [2026-02-21T11:24:39.998Z] The best model improves the baseline by 14.52%. [2026-02-21T11:24:40.657Z] Top recommended movies for user id 72: [2026-02-21T11:24:40.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:24:40.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:24:40.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:24:40.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:24:40.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:24:40.657Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (60537.204 ms) ====== [2026-02-21T11:24:40.657Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-21T11:24:41.628Z] GC before operation: completed in 838.209 ms, heap usage 425.309 MB -> 89.340 MB. [2026-02-21T11:24:51.889Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:25:02.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:25:13.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:25:22.246Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:25:28.017Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:25:32.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:25:37.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:25:43.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:25:43.058Z] 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. [2026-02-21T11:25:43.474Z] The best model improves the baseline by 14.52%. [2026-02-21T11:25:43.474Z] Top recommended movies for user id 72: [2026-02-21T11:25:43.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:25:43.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:25:43.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:25:43.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:25:43.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:25:43.474Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (62181.291 ms) ====== [2026-02-21T11:25:43.474Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-21T11:25:43.929Z] GC before operation: completed in 240.619 ms, heap usage 420.777 MB -> 89.152 MB. [2026-02-21T11:25:54.050Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:26:02.690Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:26:15.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:26:24.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:26:29.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:26:34.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:26:39.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:26:44.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:26:45.759Z] 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. [2026-02-21T11:26:45.759Z] The best model improves the baseline by 14.52%. [2026-02-21T11:26:45.759Z] Top recommended movies for user id 72: [2026-02-21T11:26:45.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:26:45.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:26:45.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:26:45.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:26:45.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:26:45.759Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (62036.212 ms) ====== [2026-02-21T11:26:45.759Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-21T11:26:46.365Z] GC before operation: completed in 247.268 ms, heap usage 492.978 MB -> 89.479 MB. [2026-02-21T11:26:56.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:27:05.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:27:14.408Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:27:22.878Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:27:26.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:27:31.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:27:35.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:27:43.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:27:43.234Z] 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. [2026-02-21T11:27:43.234Z] The best model improves the baseline by 14.52%. [2026-02-21T11:27:43.234Z] Top recommended movies for user id 72: [2026-02-21T11:27:43.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:27:43.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:27:43.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:27:43.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:27:43.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:27:43.234Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (57332.131 ms) ====== [2026-02-21T11:27:43.234Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-21T11:27:43.641Z] GC before operation: completed in 330.696 ms, heap usage 804.899 MB -> 92.938 MB. [2026-02-21T11:27:56.294Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:28:06.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:28:13.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:28:22.310Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:28:25.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:28:29.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:28:34.334Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:28:40.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:28:40.832Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-21T11:28:40.832Z] The best model improves the baseline by 14.52%. [2026-02-21T11:28:40.832Z] Top recommended movies for user id 72: [2026-02-21T11:28:40.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:28:40.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:28:40.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:28:40.832Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:28:40.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:28:40.832Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (57100.228 ms) ====== [2026-02-21T11:28:40.832Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-21T11:28:41.254Z] GC before operation: completed in 325.876 ms, heap usage 367.056 MB -> 89.209 MB. [2026-02-21T11:28:52.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:29:02.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:29:11.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:29:19.062Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:29:23.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:29:28.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:29:33.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:29:39.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:29:39.268Z] 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. [2026-02-21T11:29:39.268Z] The best model improves the baseline by 14.52%. [2026-02-21T11:29:39.664Z] Top recommended movies for user id 72: [2026-02-21T11:29:39.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:29:39.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:29:39.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:29:39.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:29:39.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:29:39.664Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (58430.636 ms) ====== [2026-02-21T11:29:39.664Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-21T11:29:39.664Z] GC before operation: completed in 211.629 ms, heap usage 163.818 MB -> 91.859 MB. [2026-02-21T11:29:52.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:30:00.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:30:09.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:30:20.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:30:24.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:30:29.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:30:35.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:30:40.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:30:41.084Z] 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. [2026-02-21T11:30:41.501Z] The best model improves the baseline by 14.52%. [2026-02-21T11:30:41.501Z] Top recommended movies for user id 72: [2026-02-21T11:30:41.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:30:41.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:30:41.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:30:41.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:30:41.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:30:41.502Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (61702.769 ms) ====== [2026-02-21T11:30:41.502Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-21T11:30:42.535Z] GC before operation: completed in 820.483 ms, heap usage 522.524 MB -> 89.429 MB. [2026-02-21T11:30:53.036Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T11:31:01.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T11:31:10.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T11:31:17.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T11:31:23.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T11:31:27.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T11:31:34.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T11:31:39.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T11:31:40.308Z] 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. [2026-02-21T11:31:40.308Z] The best model improves the baseline by 14.52%. [2026-02-21T11:31:40.795Z] Top recommended movies for user id 72: [2026-02-21T11:31:40.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-21T11:31:40.796Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-21T11:31:40.796Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-21T11:31:40.796Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-21T11:31:40.796Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-21T11:31:40.796Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (58570.319 ms) ====== [2026-02-21T11:31:43.588Z] ----------------------------------- [2026-02-21T11:31:43.588Z] renaissance-movie-lens_0_PASSED [2026-02-21T11:31:43.588Z] ----------------------------------- [2026-02-21T11:31:44.031Z] [2026-02-21T11:31:44.031Z] TEST TEARDOWN: [2026-02-21T11:31:44.031Z] Nothing to be done for teardown. [2026-02-21T11:31:44.418Z] renaissance-movie-lens_0 Finish Time: Sat Feb 21 06:31:44 2026 Epoch Time (ms): 1771673504115