[2026-02-21T01:06:38.095Z] Running test renaissance-movie-lens_0 ... [2026-02-21T01:06:38.413Z] =============================================== [2026-02-21T01:06:38.413Z] renaissance-movie-lens_0 Start Time: Sat Feb 21 01:06:38 2026 Epoch Time (ms): 1771635998236 [2026-02-21T01:06:38.413Z] variation: NoOptions [2026-02-21T01:06:38.807Z] JVM_OPTIONS: [2026-02-21T01:06:38.807Z] { \ [2026-02-21T01:06:38.807Z] echo ""; echo "TEST SETUP:"; \ [2026-02-21T01:06:38.807Z] echo "Nothing to be done for setup."; \ [2026-02-21T01:06:38.808Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17716338306774\\renaissance-movie-lens_0"; \ [2026-02-21T01:06:38.808Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17716338306774\\renaissance-movie-lens_0"; \ [2026-02-21T01:06:38.808Z] echo ""; echo "TESTING:"; \ [2026-02-21T01:06:38.808Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17716338306774\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-21T01:06:38.808Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17716338306774\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-21T01:06:38.808Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-21T01:06:38.808Z] echo "Nothing to be done for teardown."; \ [2026-02-21T01:06:38.808Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17716338306774\\TestTargetResult"; [2026-02-21T01:06:38.808Z] [2026-02-21T01:06:38.808Z] TEST SETUP: [2026-02-21T01:06:38.808Z] Nothing to be done for setup. [2026-02-21T01:06:38.808Z] [2026-02-21T01:06:38.808Z] TESTING: [2026-02-21T01:06:57.878Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-21T01:07:08.639Z] 01:07:07.524 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. [2026-02-21T01:07:12.653Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-21T01:07:14.226Z] Training: 60056, validation: 20285, test: 19854 [2026-02-21T01:07:14.226Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-21T01:07:14.226Z] GC before operation: completed in 291.582 ms, heap usage 224.462 MB -> 74.668 MB. [2026-02-21T01:07:31.983Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:07:40.643Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:07:50.142Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:07:57.944Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:08:02.223Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:08:07.350Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:08:12.560Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:08:17.402Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:08:17.807Z] 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. [2026-02-21T01:08:17.807Z] The best model improves the baseline by 14.34%. [2026-02-21T01:08:18.218Z] Top recommended movies for user id 72: [2026-02-21T01:08:18.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:08:18.218Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:08:18.218Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:08:18.218Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:08:18.218Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:08:18.218Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63790.452 ms) ====== [2026-02-21T01:08:18.218Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-21T01:08:19.065Z] GC before operation: completed in 275.671 ms, heap usage 368.736 MB -> 88.308 MB. [2026-02-21T01:08:29.389Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:08:38.672Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:08:48.010Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:08:57.644Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:09:04.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:09:09.950Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:09:18.305Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:09:22.809Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:09:23.960Z] 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. [2026-02-21T01:09:24.672Z] The best model improves the baseline by 14.34%. [2026-02-21T01:09:24.672Z] Top recommended movies for user id 72: [2026-02-21T01:09:24.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:09:24.672Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:09:24.672Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:09:24.672Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:09:24.672Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:09:24.672Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66218.783 ms) ====== [2026-02-21T01:09:24.672Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-21T01:09:25.105Z] GC before operation: completed in 252.927 ms, heap usage 116.405 MB -> 86.689 MB. [2026-02-21T01:09:34.123Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:09:43.290Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:09:54.813Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:10:04.327Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:10:08.762Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:10:14.953Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:10:21.301Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:10:27.941Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:10:27.941Z] 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. [2026-02-21T01:10:27.941Z] The best model improves the baseline by 14.34%. [2026-02-21T01:10:28.285Z] Top recommended movies for user id 72: [2026-02-21T01:10:28.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:10:28.285Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:10:28.285Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:10:28.285Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:10:28.285Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:10:28.285Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (63332.561 ms) ====== [2026-02-21T01:10:28.285Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-21T01:10:28.726Z] GC before operation: completed in 252.569 ms, heap usage 199.200 MB -> 87.365 MB. [2026-02-21T01:10:37.718Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:10:45.157Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:10:54.289Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:11:01.453Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:11:05.410Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:11:10.299Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:11:15.165Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:11:20.143Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:11:20.518Z] 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. [2026-02-21T01:11:20.985Z] The best model improves the baseline by 14.34%. [2026-02-21T01:11:20.985Z] Top recommended movies for user id 72: [2026-02-21T01:11:20.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:11:20.985Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:11:20.985Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:11:20.985Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:11:20.985Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:11:20.985Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (52525.744 ms) ====== [2026-02-21T01:11:20.985Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-21T01:11:21.466Z] GC before operation: completed in 239.841 ms, heap usage 409.156 MB -> 88.065 MB. [2026-02-21T01:11:30.923Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:11:40.496Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:11:50.642Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:12:00.102Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:12:05.373Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:12:11.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:12:16.544Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:12:21.560Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:12:22.626Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-21T01:12:23.155Z] The best model improves the baseline by 14.34%. [2026-02-21T01:12:23.155Z] Top recommended movies for user id 72: [2026-02-21T01:12:23.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:12:23.155Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:12:23.156Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:12:23.156Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:12:23.156Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:12:23.156Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (61904.703 ms) ====== [2026-02-21T01:12:23.156Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-21T01:12:23.561Z] GC before operation: completed in 258.426 ms, heap usage 115.587 MB -> 87.486 MB. [2026-02-21T01:12:33.157Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:12:40.614Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:12:48.166Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:12:57.095Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:13:00.272Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:13:05.571Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:13:10.376Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:13:15.104Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:13:15.639Z] 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. [2026-02-21T01:13:15.639Z] The best model improves the baseline by 14.34%. [2026-02-21T01:13:15.639Z] Top recommended movies for user id 72: [2026-02-21T01:13:15.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:13:15.639Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:13:15.639Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:13:15.639Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:13:15.639Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:13:15.639Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52250.701 ms) ====== [2026-02-21T01:13:15.639Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-21T01:13:16.121Z] GC before operation: completed in 240.662 ms, heap usage 353.794 MB -> 88.163 MB. [2026-02-21T01:13:25.231Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:13:34.639Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:13:44.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:13:53.349Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:13:59.808Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:14:05.134Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:14:12.423Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:14:17.722Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:14:18.340Z] 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. [2026-02-21T01:14:18.340Z] The best model improves the baseline by 14.34%. [2026-02-21T01:14:18.887Z] Top recommended movies for user id 72: [2026-02-21T01:14:18.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:14:18.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:14:18.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:14:18.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:14:18.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:14:18.887Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (62660.518 ms) ====== [2026-02-21T01:14:18.887Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-21T01:14:18.887Z] GC before operation: completed in 252.519 ms, heap usage 160.598 MB -> 87.850 MB. [2026-02-21T01:14:27.844Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:14:35.384Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:14:42.901Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:14:50.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:14:55.329Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:15:00.322Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:15:05.052Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:15:10.003Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:15:10.003Z] 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. [2026-02-21T01:15:10.003Z] The best model improves the baseline by 14.34%. [2026-02-21T01:15:10.003Z] Top recommended movies for user id 72: [2026-02-21T01:15:10.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:15:10.003Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:15:10.003Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:15:10.003Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:15:10.003Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:15:10.003Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51209.620 ms) ====== [2026-02-21T01:15:10.003Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-21T01:15:10.439Z] GC before operation: completed in 248.213 ms, heap usage 194.077 MB -> 88.088 MB. [2026-02-21T01:15:19.668Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:15:29.033Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:15:38.419Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:15:48.055Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:15:53.174Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:15:58.764Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:16:04.573Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:16:09.989Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:16:10.574Z] 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. [2026-02-21T01:16:10.997Z] The best model improves the baseline by 14.34%. [2026-02-21T01:16:10.997Z] Top recommended movies for user id 72: [2026-02-21T01:16:10.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:16:10.997Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:16:10.997Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:16:10.997Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:16:10.997Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:16:10.997Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (60679.365 ms) ====== [2026-02-21T01:16:10.997Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-21T01:16:10.997Z] GC before operation: completed in 232.052 ms, heap usage 185.896 MB -> 87.947 MB. [2026-02-21T01:16:20.984Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:16:29.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:16:39.178Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:16:48.305Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:16:53.390Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:16:59.677Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:17:05.873Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:17:11.110Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:17:11.470Z] 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. [2026-02-21T01:17:11.852Z] The best model improves the baseline by 14.34%. [2026-02-21T01:17:11.852Z] Top recommended movies for user id 72: [2026-02-21T01:17:11.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:17:11.852Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:17:11.852Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:17:11.852Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:17:11.852Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:17:11.852Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (60877.658 ms) ====== [2026-02-21T01:17:11.852Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-21T01:17:12.188Z] GC before operation: completed in 278.161 ms, heap usage 124.574 MB -> 88.040 MB. [2026-02-21T01:17:21.175Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:17:28.611Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:17:38.162Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:17:45.982Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:17:50.222Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:17:55.109Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:18:00.150Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:18:04.964Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:18:05.438Z] 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. [2026-02-21T01:18:05.438Z] The best model improves the baseline by 14.34%. [2026-02-21T01:18:05.438Z] Top recommended movies for user id 72: [2026-02-21T01:18:05.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:18:05.438Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:18:05.438Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:18:05.438Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:18:05.438Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:18:05.438Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (53111.301 ms) ====== [2026-02-21T01:18:05.438Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-21T01:18:05.909Z] GC before operation: completed in 233.581 ms, heap usage 267.047 MB -> 88.049 MB. [2026-02-21T01:18:15.543Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:18:23.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:18:32.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:18:42.524Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:18:49.841Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:18:52.773Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:18:58.964Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:19:05.366Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:19:05.366Z] 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. [2026-02-21T01:19:05.951Z] The best model improves the baseline by 14.34%. [2026-02-21T01:19:05.951Z] Top recommended movies for user id 72: [2026-02-21T01:19:05.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:19:05.951Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:19:05.951Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:19:05.951Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:19:05.951Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:19:05.951Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (60249.017 ms) ====== [2026-02-21T01:19:05.951Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-21T01:19:06.786Z] GC before operation: completed in 249.547 ms, heap usage 115.857 MB -> 87.998 MB. [2026-02-21T01:19:14.401Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:19:23.479Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:19:30.868Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:19:38.190Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:19:42.133Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:19:46.546Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:19:51.628Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:19:55.549Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:19:56.527Z] 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. [2026-02-21T01:19:56.527Z] The best model improves the baseline by 14.34%. [2026-02-21T01:19:56.527Z] Top recommended movies for user id 72: [2026-02-21T01:19:56.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:19:56.527Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:19:56.527Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:19:56.527Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:19:56.527Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:19:56.527Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50352.511 ms) ====== [2026-02-21T01:19:56.527Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-21T01:19:56.962Z] GC before operation: completed in 250.713 ms, heap usage 334.177 MB -> 88.439 MB. [2026-02-21T01:20:06.572Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:20:16.027Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:20:25.597Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:20:33.789Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:20:40.056Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:20:45.622Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:20:51.235Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:20:56.111Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:20:57.339Z] 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. [2026-02-21T01:20:57.339Z] The best model improves the baseline by 14.34%. [2026-02-21T01:20:57.667Z] Top recommended movies for user id 72: [2026-02-21T01:20:57.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:20:57.667Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:20:57.667Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:20:57.667Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:20:57.667Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:20:57.667Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (60756.646 ms) ====== [2026-02-21T01:20:57.667Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-21T01:20:57.667Z] GC before operation: completed in 275.788 ms, heap usage 117.970 MB -> 87.917 MB. [2026-02-21T01:21:07.020Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:21:13.020Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:21:22.046Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:21:29.345Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:21:33.138Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:21:37.123Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:21:41.911Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:21:46.773Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:21:47.123Z] 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. [2026-02-21T01:21:47.123Z] The best model improves the baseline by 14.34%. [2026-02-21T01:21:47.505Z] Top recommended movies for user id 72: [2026-02-21T01:21:47.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:21:47.505Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:21:47.505Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:21:47.505Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:21:47.505Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:21:47.505Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49671.570 ms) ====== [2026-02-21T01:21:47.505Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-21T01:21:47.952Z] GC before operation: completed in 237.786 ms, heap usage 324.709 MB -> 88.481 MB. [2026-02-21T01:21:57.045Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:22:06.368Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:22:14.211Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:22:23.545Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:22:28.645Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:22:34.194Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:22:39.507Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:22:44.732Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:22:44.732Z] 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. [2026-02-21T01:22:44.732Z] The best model improves the baseline by 14.34%. [2026-02-21T01:22:45.079Z] Top recommended movies for user id 72: [2026-02-21T01:22:45.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:22:45.079Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:22:45.079Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:22:45.079Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:22:45.079Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:22:45.079Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (57271.275 ms) ====== [2026-02-21T01:22:45.079Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-21T01:22:45.868Z] GC before operation: completed in 243.292 ms, heap usage 198.893 MB -> 90.260 MB. [2026-02-21T01:22:53.616Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:23:03.160Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:23:11.935Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:23:21.408Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:23:26.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:23:30.643Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:23:35.423Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:23:39.422Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:23:39.760Z] 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. [2026-02-21T01:23:39.760Z] The best model improves the baseline by 14.34%. [2026-02-21T01:23:40.137Z] Top recommended movies for user id 72: [2026-02-21T01:23:40.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:23:40.137Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:23:40.137Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:23:40.137Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:23:40.137Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:23:40.137Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54871.894 ms) ====== [2026-02-21T01:23:40.137Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-21T01:23:40.482Z] GC before operation: completed in 238.939 ms, heap usage 136.665 MB -> 88.085 MB. [2026-02-21T01:23:48.107Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:23:55.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:24:03.416Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:24:10.867Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:24:15.838Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:24:20.573Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:24:24.525Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:24:29.450Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:24:30.334Z] 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. [2026-02-21T01:24:30.334Z] The best model improves the baseline by 14.34%. [2026-02-21T01:24:30.334Z] Top recommended movies for user id 72: [2026-02-21T01:24:30.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:24:30.334Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:24:30.334Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:24:30.334Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:24:30.334Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:24:30.334Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49968.293 ms) ====== [2026-02-21T01:24:30.334Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-21T01:24:30.782Z] GC before operation: completed in 251.518 ms, heap usage 145.810 MB -> 88.019 MB. [2026-02-21T01:24:38.252Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:24:45.743Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:24:53.328Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:25:00.804Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:25:04.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:25:09.440Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:25:13.325Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:25:18.335Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:25:18.335Z] 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. [2026-02-21T01:25:18.335Z] The best model improves the baseline by 14.34%. [2026-02-21T01:25:19.208Z] Top recommended movies for user id 72: [2026-02-21T01:25:19.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:25:19.208Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:25:19.208Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:25:19.208Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:25:19.208Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:25:19.208Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48322.744 ms) ====== [2026-02-21T01:25:19.208Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-21T01:25:19.208Z] GC before operation: completed in 273.737 ms, heap usage 155.468 MB -> 88.110 MB. [2026-02-21T01:25:27.120Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-21T01:25:36.358Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-21T01:25:42.809Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-21T01:25:50.850Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-21T01:25:55.188Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-21T01:25:59.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-21T01:26:03.746Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-21T01:26:08.712Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-21T01:26:08.712Z] 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. [2026-02-21T01:26:08.712Z] The best model improves the baseline by 14.34%. [2026-02-21T01:26:09.068Z] Top recommended movies for user id 72: [2026-02-21T01:26:09.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-21T01:26:09.068Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-21T01:26:09.068Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-21T01:26:09.068Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-21T01:26:09.068Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-21T01:26:09.068Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49982.196 ms) ====== [2026-02-21T01:26:09.802Z] ----------------------------------- [2026-02-21T01:26:09.802Z] renaissance-movie-lens_0_PASSED [2026-02-21T01:26:09.802Z] ----------------------------------- [2026-02-21T01:26:10.140Z] [2026-02-21T01:26:10.140Z] TEST TEARDOWN: [2026-02-21T01:26:10.140Z] Nothing to be done for teardown. [2026-02-21T01:26:10.478Z] renaissance-movie-lens_0 Finish Time: Sat Feb 21 01:26:10 2026 Epoch Time (ms): 1771637170217