[2026-01-18T21:35:15.562Z] Running test renaissance-movie-lens_0 ... [2026-01-18T21:35:15.562Z] =============================================== [2026-01-18T21:35:15.562Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 21:35:15 2026 Epoch Time (ms): 1768772115370 [2026-01-18T21:35:15.562Z] variation: NoOptions [2026-01-18T21:35:15.562Z] JVM_OPTIONS: [2026-01-18T21:35:15.562Z] { \ [2026-01-18T21:35:15.562Z] echo ""; echo "TEST SETUP:"; \ [2026-01-18T21:35:15.562Z] echo "Nothing to be done for setup."; \ [2026-01-18T21:35:15.562Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17687702843185/renaissance-movie-lens_0"; \ [2026-01-18T21:35:15.562Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17687702843185/renaissance-movie-lens_0"; \ [2026-01-18T21:35:15.562Z] echo ""; echo "TESTING:"; \ [2026-01-18T21:35:15.562Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17687702843185/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-18T21:35:15.562Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17687702843185/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-18T21:35:15.562Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-18T21:35:15.562Z] echo "Nothing to be done for teardown."; \ [2026-01-18T21:35:15.562Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17687702843185/TestTargetResult"; [2026-01-18T21:35:15.562Z] [2026-01-18T21:35:15.562Z] TEST SETUP: [2026-01-18T21:35:15.562Z] Nothing to be done for setup. [2026-01-18T21:35:15.562Z] [2026-01-18T21:35:15.562Z] TESTING: [2026-01-18T21:35:21.344Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-18T21:35:30.101Z] 21:35:29.800 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-18T21:35:33.811Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-18T21:35:34.495Z] Training: 60056, validation: 20285, test: 19854 [2026-01-18T21:35:34.495Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-18T21:35:34.814Z] GC before operation: completed in 212.014 ms, heap usage 262.214 MB -> 74.173 MB. [2026-01-18T21:35:45.550Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:35:50.226Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:35:56.030Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:35:59.729Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:36:02.607Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:36:05.493Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:36:08.362Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:36:09.988Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:36:10.304Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:36:10.304Z] The best model improves the baseline by 14.34%. [2026-01-18T21:36:10.616Z] Top recommended movies for user id 72: [2026-01-18T21:36:10.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:36:10.616Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:36:10.616Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:36:10.616Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:36:10.616Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:36:10.616Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35926.389 ms) ====== [2026-01-18T21:36:10.616Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-18T21:36:10.933Z] GC before operation: completed in 208.004 ms, heap usage 140.042 MB -> 84.556 MB. [2026-01-18T21:36:14.682Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:36:19.335Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:36:23.032Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:36:25.912Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:36:28.105Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:36:30.308Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:36:31.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:36:34.148Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:36:34.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:36:34.463Z] The best model improves the baseline by 14.34%. [2026-01-18T21:36:34.463Z] Top recommended movies for user id 72: [2026-01-18T21:36:34.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:36:34.463Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:36:34.463Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:36:34.463Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:36:34.463Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:36:34.463Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23812.601 ms) ====== [2026-01-18T21:36:34.463Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-18T21:36:34.782Z] GC before operation: completed in 167.711 ms, heap usage 111.382 MB -> 86.305 MB. [2026-01-18T21:36:38.476Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:36:41.420Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:36:44.333Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:36:48.038Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:36:49.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:36:50.787Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:36:53.003Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:36:54.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:36:54.922Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:36:54.922Z] The best model improves the baseline by 14.34%. [2026-01-18T21:36:55.236Z] Top recommended movies for user id 72: [2026-01-18T21:36:55.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:36:55.236Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:36:55.236Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:36:55.236Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:36:55.236Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:36:55.236Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20337.902 ms) ====== [2026-01-18T21:36:55.236Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-18T21:36:55.236Z] GC before operation: completed in 201.001 ms, heap usage 411.530 MB -> 87.367 MB. [2026-01-18T21:36:58.920Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:37:01.801Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:37:05.486Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:37:08.388Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:37:10.575Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:37:12.218Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:37:14.416Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:37:16.672Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:37:16.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:37:16.672Z] The best model improves the baseline by 14.34%. [2026-01-18T21:37:16.987Z] Top recommended movies for user id 72: [2026-01-18T21:37:16.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:37:16.987Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:37:16.987Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:37:16.987Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:37:16.987Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:37:16.987Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21570.483 ms) ====== [2026-01-18T21:37:16.987Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-18T21:37:16.987Z] GC before operation: completed in 162.678 ms, heap usage 206.833 MB -> 87.277 MB. [2026-01-18T21:37:19.874Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:37:22.740Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:37:26.421Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:37:28.615Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:37:30.269Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:37:31.931Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:37:34.126Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:37:35.800Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:37:35.800Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:37:36.117Z] The best model improves the baseline by 14.34%. [2026-01-18T21:37:36.117Z] Top recommended movies for user id 72: [2026-01-18T21:37:36.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:37:36.117Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:37:36.117Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:37:36.117Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:37:36.117Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:37:36.117Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19039.233 ms) ====== [2026-01-18T21:37:36.117Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-18T21:37:36.434Z] GC before operation: completed in 184.476 ms, heap usage 371.959 MB -> 87.555 MB. [2026-01-18T21:37:40.109Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:37:43.791Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:37:46.659Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:37:50.336Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:37:51.935Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:37:53.540Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:37:55.787Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:37:57.421Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:37:57.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:37:57.736Z] The best model improves the baseline by 14.34%. [2026-01-18T21:37:58.051Z] Top recommended movies for user id 72: [2026-01-18T21:37:58.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:37:58.051Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:37:58.051Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:37:58.051Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:37:58.051Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:37:58.051Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21821.781 ms) ====== [2026-01-18T21:37:58.051Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-18T21:37:58.365Z] GC before operation: completed in 168.312 ms, heap usage 147.057 MB -> 87.470 MB. [2026-01-18T21:38:01.234Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:38:04.101Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:38:07.805Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:38:10.681Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:38:12.868Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:38:14.478Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:38:16.112Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:38:18.291Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:38:18.291Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:38:18.291Z] The best model improves the baseline by 14.34%. [2026-01-18T21:38:18.608Z] Top recommended movies for user id 72: [2026-01-18T21:38:18.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:38:18.608Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:38:18.608Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:38:18.608Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:38:18.608Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:38:18.608Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20197.543 ms) ====== [2026-01-18T21:38:18.608Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-18T21:38:18.608Z] GC before operation: completed in 182.516 ms, heap usage 385.631 MB -> 87.780 MB. [2026-01-18T21:38:22.370Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:38:26.051Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:38:29.733Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:38:32.602Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:38:34.205Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:38:35.834Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:38:38.020Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:38:40.240Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:38:40.240Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:38:40.240Z] The best model improves the baseline by 14.34%. [2026-01-18T21:38:40.558Z] Top recommended movies for user id 72: [2026-01-18T21:38:40.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:38:40.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:38:40.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:38:40.558Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:38:40.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:38:40.558Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21836.635 ms) ====== [2026-01-18T21:38:40.558Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-18T21:38:40.558Z] GC before operation: completed in 163.593 ms, heap usage 206.694 MB -> 87.700 MB. [2026-01-18T21:38:47.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:38:47.759Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:38:48.878Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:38:51.145Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:38:53.328Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:38:54.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:38:56.625Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:38:58.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:38:58.230Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:38:58.230Z] The best model improves the baseline by 14.34%. [2026-01-18T21:38:58.546Z] Top recommended movies for user id 72: [2026-01-18T21:38:58.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:38:58.546Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:38:58.546Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:38:58.546Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:38:58.546Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:38:58.546Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17769.586 ms) ====== [2026-01-18T21:38:58.546Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-18T21:38:58.546Z] GC before operation: completed in 186.770 ms, heap usage 212.646 MB -> 87.585 MB. [2026-01-18T21:39:02.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:39:05.076Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:39:08.752Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:39:10.928Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:39:13.110Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:39:14.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:39:16.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:39:18.560Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:39:18.875Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:39:18.875Z] The best model improves the baseline by 14.34%. [2026-01-18T21:39:18.875Z] Top recommended movies for user id 72: [2026-01-18T21:39:18.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:39:18.875Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:39:18.875Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:39:18.875Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:39:18.875Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:39:18.875Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20367.456 ms) ====== [2026-01-18T21:39:18.875Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-18T21:39:19.199Z] GC before operation: completed in 163.300 ms, heap usage 262.504 MB -> 87.881 MB. [2026-01-18T21:39:22.061Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:39:25.737Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:39:28.599Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:39:31.466Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:39:33.073Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:39:34.669Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:39:36.847Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:39:38.449Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:39:38.860Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:39:38.860Z] The best model improves the baseline by 14.34%. [2026-01-18T21:39:38.860Z] Top recommended movies for user id 72: [2026-01-18T21:39:38.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:39:38.860Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:39:38.860Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:39:38.860Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:39:38.860Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:39:38.860Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19778.359 ms) ====== [2026-01-18T21:39:38.860Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-18T21:39:39.176Z] GC before operation: completed in 163.098 ms, heap usage 183.297 MB -> 87.472 MB. [2026-01-18T21:39:42.104Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:39:44.963Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:39:48.654Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:39:50.829Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:39:53.009Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:39:54.709Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:39:56.903Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:39:58.510Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:39:58.825Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:39:58.825Z] The best model improves the baseline by 14.34%. [2026-01-18T21:39:58.825Z] Top recommended movies for user id 72: [2026-01-18T21:39:58.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:39:58.825Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:39:58.825Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:39:58.825Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:39:58.825Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:39:58.825Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19820.045 ms) ====== [2026-01-18T21:39:58.825Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-18T21:39:59.140Z] GC before operation: completed in 164.385 ms, heap usage 203.835 MB -> 87.689 MB. [2026-01-18T21:40:02.013Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:40:04.906Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:40:07.092Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:40:09.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:40:11.558Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:40:13.740Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:40:15.343Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:40:16.941Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:40:17.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:40:17.254Z] The best model improves the baseline by 14.34%. [2026-01-18T21:40:17.254Z] Top recommended movies for user id 72: [2026-01-18T21:40:17.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:40:17.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:40:17.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:40:17.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:40:17.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:40:17.254Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18184.682 ms) ====== [2026-01-18T21:40:17.254Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-18T21:40:17.581Z] GC before operation: completed in 186.005 ms, heap usage 288.264 MB -> 87.996 MB. [2026-01-18T21:40:21.266Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:40:24.135Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:40:27.009Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:40:29.881Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:40:31.550Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:40:33.746Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:40:35.360Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:40:37.558Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:40:37.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:40:37.558Z] The best model improves the baseline by 14.34%. [2026-01-18T21:40:37.872Z] Top recommended movies for user id 72: [2026-01-18T21:40:37.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:40:37.872Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:40:37.872Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:40:37.872Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:40:37.872Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:40:37.872Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20393.416 ms) ====== [2026-01-18T21:40:37.872Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-18T21:40:37.872Z] GC before operation: completed in 159.944 ms, heap usage 211.319 MB -> 87.664 MB. [2026-01-18T21:40:40.748Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:40:42.944Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:40:46.640Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:40:48.826Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:40:50.432Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:40:52.034Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:40:53.704Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:40:54.810Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:40:55.486Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:40:55.486Z] The best model improves the baseline by 14.34%. [2026-01-18T21:40:55.486Z] Top recommended movies for user id 72: [2026-01-18T21:40:55.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:40:55.486Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:40:55.486Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:40:55.486Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:40:55.486Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:40:55.486Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17460.960 ms) ====== [2026-01-18T21:40:55.486Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-18T21:40:55.486Z] GC before operation: completed in 181.397 ms, heap usage 434.130 MB -> 88.293 MB. [2026-01-18T21:40:59.175Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:41:02.052Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:41:04.927Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:41:07.798Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:41:09.407Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:41:11.013Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:41:13.216Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:41:14.819Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:41:14.819Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:41:15.134Z] The best model improves the baseline by 14.34%. [2026-01-18T21:41:15.134Z] Top recommended movies for user id 72: [2026-01-18T21:41:15.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:41:15.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:41:15.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:41:15.134Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:41:15.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:41:15.134Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19480.343 ms) ====== [2026-01-18T21:41:15.134Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-18T21:41:15.134Z] GC before operation: completed in 164.926 ms, heap usage 222.425 MB -> 87.830 MB. [2026-01-18T21:41:18.899Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:41:21.120Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:41:24.802Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:41:26.997Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:41:28.602Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:41:30.793Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:41:32.401Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:41:34.592Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:41:34.592Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:41:34.592Z] The best model improves the baseline by 14.34%. [2026-01-18T21:41:34.592Z] Top recommended movies for user id 72: [2026-01-18T21:41:34.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:41:34.592Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:41:34.592Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:41:34.592Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:41:34.592Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:41:34.592Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19288.633 ms) ====== [2026-01-18T21:41:34.592Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-18T21:41:34.592Z] GC before operation: completed in 166.250 ms, heap usage 273.352 MB -> 87.966 MB. [2026-01-18T21:41:38.285Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:41:39.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:41:42.766Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:41:44.992Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:41:46.598Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:41:48.201Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:41:49.807Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:41:51.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:41:51.721Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:41:51.721Z] The best model improves the baseline by 14.34%. [2026-01-18T21:41:51.721Z] Top recommended movies for user id 72: [2026-01-18T21:41:51.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:41:51.721Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:41:51.721Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:41:51.721Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:41:51.721Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:41:51.721Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17041.902 ms) ====== [2026-01-18T21:41:51.721Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-18T21:41:52.040Z] GC before operation: completed in 192.560 ms, heap usage 212.671 MB -> 87.711 MB. [2026-01-18T21:41:54.916Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:41:58.613Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:42:01.490Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:42:03.680Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:42:05.867Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:42:07.491Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:42:09.103Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:42:11.294Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:42:11.294Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:42:11.294Z] The best model improves the baseline by 14.34%. [2026-01-18T21:42:11.294Z] Top recommended movies for user id 72: [2026-01-18T21:42:11.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:42:11.294Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:42:11.294Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:42:11.294Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:42:11.294Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:42:11.294Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19363.677 ms) ====== [2026-01-18T21:42:11.294Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-18T21:42:11.611Z] GC before operation: completed in 163.448 ms, heap usage 259.604 MB -> 87.881 MB. [2026-01-18T21:42:14.480Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T21:42:16.669Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T21:42:19.661Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T21:42:21.843Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T21:42:23.447Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T21:42:25.049Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T21:42:26.649Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T21:42:27.759Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T21:42:28.440Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T21:42:28.440Z] The best model improves the baseline by 14.34%. [2026-01-18T21:42:28.440Z] Top recommended movies for user id 72: [2026-01-18T21:42:28.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T21:42:28.440Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T21:42:28.440Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T21:42:28.440Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T21:42:28.440Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T21:42:28.440Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16941.079 ms) ====== [2026-01-18T21:42:29.125Z] ----------------------------------- [2026-01-18T21:42:29.125Z] renaissance-movie-lens_0_PASSED [2026-01-18T21:42:29.125Z] ----------------------------------- [2026-01-18T21:42:29.125Z] [2026-01-18T21:42:29.125Z] TEST TEARDOWN: [2026-01-18T21:42:29.125Z] Nothing to be done for teardown. [2026-01-18T21:42:29.125Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 21:42:28 2026 Epoch Time (ms): 1768772548916