[2026-04-02T09:45:12.471Z] Running test renaissance-movie-lens_0 ... [2026-04-02T09:45:12.471Z] =============================================== [2026-04-02T09:45:12.471Z] renaissance-movie-lens_0 Start Time: Thu Apr 2 09:45:12 2026 Epoch Time (ms): 1775123112452 [2026-04-02T09:45:12.810Z] variation: NoOptions [2026-04-02T09:45:12.810Z] JVM_OPTIONS: [2026-04-02T09:45:12.810Z] { \ [2026-04-02T09:45:12.810Z] echo ""; echo "TEST SETUP:"; \ [2026-04-02T09:45:12.810Z] echo "Nothing to be done for setup."; \ [2026-04-02T09:45:12.810Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17751231119968/renaissance-movie-lens_0"; \ [2026-04-02T09:45:12.810Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17751231119968/renaissance-movie-lens_0"; \ [2026-04-02T09:45:12.810Z] echo ""; echo "TESTING:"; \ [2026-04-02T09:45:12.810Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1/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_openjdk17_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17751231119968/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-02T09:45:12.810Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17751231119968/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-02T09:45:12.810Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-02T09:45:12.810Z] echo "Nothing to be done for teardown."; \ [2026-04-02T09:45:12.810Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17751231119968/TestTargetResult"; [2026-04-02T09:45:12.810Z] [2026-04-02T09:45:12.810Z] TEST SETUP: [2026-04-02T09:45:12.810Z] Nothing to be done for setup. [2026-04-02T09:45:12.810Z] [2026-04-02T09:45:12.810Z] TESTING: [2026-04-02T09:45:36.035Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-02T09:46:09.596Z] 09:46:07.943 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-02T09:46:20.555Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-02T09:46:22.275Z] Training: 60056, validation: 20285, test: 19854 [2026-04-02T09:46:22.275Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-02T09:46:22.623Z] GC before operation: completed in 526.320 ms, heap usage 486.194 MB -> 77.304 MB. [2026-04-02T09:46:50.618Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:47:06.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:47:19.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:47:33.205Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:47:39.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:47:46.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:47:54.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:48:00.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:48:00.970Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:48:01.311Z] The best model improves the baseline by 14.52%. [2026-04-02T09:48:02.041Z] Top recommended movies for user id 72: [2026-04-02T09:48:02.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:48:02.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:48:02.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:48:02.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:48:02.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:48:02.041Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (99593.250 ms) ====== [2026-04-02T09:48:02.041Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-02T09:48:03.256Z] GC before operation: completed in 885.857 ms, heap usage 546.422 MB -> 92.193 MB. [2026-04-02T09:48:16.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:48:27.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:48:36.547Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:48:47.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:48:53.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:49:00.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:49:06.911Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:49:12.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:49:14.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:49:14.614Z] The best model improves the baseline by 14.52%. [2026-04-02T09:49:15.344Z] Top recommended movies for user id 72: [2026-04-02T09:49:15.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:49:15.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:49:15.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:49:15.344Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:49:15.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:49:15.344Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (72360.926 ms) ====== [2026-04-02T09:49:15.344Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-02T09:49:16.553Z] GC before operation: completed in 871.654 ms, heap usage 510.483 MB -> 92.374 MB. [2026-04-02T09:49:29.835Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:49:40.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:49:51.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:50:00.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:50:06.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:50:12.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:50:18.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:50:24.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:50:25.516Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:50:25.992Z] The best model improves the baseline by 14.52%. [2026-04-02T09:50:26.773Z] Top recommended movies for user id 72: [2026-04-02T09:50:26.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:50:26.773Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:50:26.773Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:50:26.773Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:50:26.773Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:50:26.773Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (70250.991 ms) ====== [2026-04-02T09:50:26.773Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-02T09:50:27.617Z] GC before operation: completed in 995.649 ms, heap usage 268.216 MB -> 96.223 MB. [2026-04-02T09:50:38.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:50:46.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:50:55.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:51:04.043Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:51:10.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:51:16.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:51:20.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:51:25.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:51:26.913Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:51:26.913Z] The best model improves the baseline by 14.52%. [2026-04-02T09:51:27.650Z] Top recommended movies for user id 72: [2026-04-02T09:51:27.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:51:27.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:51:27.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:51:27.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:51:27.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:51:27.650Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59951.701 ms) ====== [2026-04-02T09:51:27.650Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-02T09:51:28.398Z] GC before operation: completed in 958.838 ms, heap usage 444.581 MB -> 91.107 MB. [2026-04-02T09:51:39.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:51:46.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:51:57.704Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:52:05.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:52:09.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:52:15.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:52:20.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:52:25.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:52:26.752Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:52:26.752Z] The best model improves the baseline by 14.52%. [2026-04-02T09:52:27.500Z] Top recommended movies for user id 72: [2026-04-02T09:52:27.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:52:27.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:52:27.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:52:27.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:52:27.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:52:27.500Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58876.029 ms) ====== [2026-04-02T09:52:27.500Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-02T09:52:28.250Z] GC before operation: completed in 948.374 ms, heap usage 301.849 MB -> 90.895 MB. [2026-04-02T09:52:37.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:52:46.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:52:53.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:53:02.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:53:06.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:53:11.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:53:17.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:53:21.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:53:22.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:53:22.553Z] The best model improves the baseline by 14.52%. [2026-04-02T09:53:23.588Z] Top recommended movies for user id 72: [2026-04-02T09:53:23.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:53:23.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:53:23.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:53:23.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:53:23.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:53:23.588Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (54916.854 ms) ====== [2026-04-02T09:53:23.588Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-02T09:53:24.330Z] GC before operation: completed in 948.076 ms, heap usage 483.138 MB -> 91.485 MB. [2026-04-02T09:53:33.343Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:53:40.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:53:49.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:53:57.108Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:54:00.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:54:05.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:54:10.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:54:15.517Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:54:16.243Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:54:16.243Z] The best model improves the baseline by 14.52%. [2026-04-02T09:54:16.971Z] Top recommended movies for user id 72: [2026-04-02T09:54:16.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:54:16.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:54:16.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:54:16.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:54:16.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:54:16.971Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52763.321 ms) ====== [2026-04-02T09:54:16.971Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-02T09:54:17.717Z] GC before operation: completed in 934.945 ms, heap usage 529.825 MB -> 91.560 MB. [2026-04-02T09:54:26.724Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:54:34.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:54:43.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:54:50.496Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:54:55.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:55:00.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:55:06.334Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:55:10.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:55:11.379Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:55:11.379Z] The best model improves the baseline by 14.52%. [2026-04-02T09:55:12.117Z] Top recommended movies for user id 72: [2026-04-02T09:55:12.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:55:12.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:55:12.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:55:12.117Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:55:12.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:55:12.117Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54033.363 ms) ====== [2026-04-02T09:55:12.117Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-02T09:55:12.866Z] GC before operation: completed in 963.606 ms, heap usage 790.827 MB -> 95.261 MB. [2026-04-02T09:55:21.870Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:55:29.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:55:36.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:55:45.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:55:49.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:55:54.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:55:59.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:56:04.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:56:04.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:56:04.694Z] The best model improves the baseline by 14.52%. [2026-04-02T09:56:05.423Z] Top recommended movies for user id 72: [2026-04-02T09:56:05.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:56:05.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:56:05.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:56:05.423Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:56:05.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:56:05.423Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52479.842 ms) ====== [2026-04-02T09:56:05.423Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-02T09:56:06.172Z] GC before operation: completed in 970.997 ms, heap usage 699.733 MB -> 95.021 MB. [2026-04-02T09:56:15.184Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:56:22.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:56:31.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:56:38.939Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:56:43.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:56:48.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:56:53.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:56:58.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:56:58.627Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:56:58.967Z] The best model improves the baseline by 14.52%. [2026-04-02T09:56:59.693Z] Top recommended movies for user id 72: [2026-04-02T09:56:59.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:56:59.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:56:59.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:56:59.693Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:56:59.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:56:59.693Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53340.131 ms) ====== [2026-04-02T09:56:59.693Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-02T09:57:01.005Z] GC before operation: completed in 971.295 ms, heap usage 803.692 MB -> 95.512 MB. [2026-04-02T09:57:10.108Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:57:17.477Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:57:24.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:57:32.227Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:57:38.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:57:43.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:57:47.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:57:52.739Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:57:53.079Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:57:53.079Z] The best model improves the baseline by 14.52%. [2026-04-02T09:57:53.815Z] Top recommended movies for user id 72: [2026-04-02T09:57:53.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:57:53.815Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:57:53.815Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:57:53.815Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:57:53.815Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:57:53.815Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (53136.292 ms) ====== [2026-04-02T09:57:53.815Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-02T09:57:55.014Z] GC before operation: completed in 981.698 ms, heap usage 284.622 MB -> 91.367 MB. [2026-04-02T09:58:04.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:58:11.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:58:18.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:58:26.163Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:58:30.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:58:35.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:58:40.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:58:45.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:58:46.680Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:58:46.680Z] The best model improves the baseline by 14.52%. [2026-04-02T09:58:47.017Z] Top recommended movies for user id 72: [2026-04-02T09:58:47.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:58:47.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:58:47.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:58:47.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:58:47.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:58:47.017Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (52404.902 ms) ====== [2026-04-02T09:58:47.017Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-02T09:58:48.235Z] GC before operation: completed in 950.094 ms, heap usage 444.138 MB -> 91.743 MB. [2026-04-02T09:58:57.248Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:59:05.035Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T09:59:12.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T09:59:19.823Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T09:59:24.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T09:59:30.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T09:59:35.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T09:59:40.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T09:59:40.685Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T09:59:40.685Z] The best model improves the baseline by 14.52%. [2026-04-02T09:59:41.426Z] Top recommended movies for user id 72: [2026-04-02T09:59:41.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T09:59:41.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T09:59:41.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T09:59:41.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T09:59:41.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T09:59:41.426Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53237.978 ms) ====== [2026-04-02T09:59:41.426Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-02T09:59:42.186Z] GC before operation: completed in 975.592 ms, heap usage 693.743 MB -> 95.399 MB. [2026-04-02T09:59:51.231Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T09:59:58.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T10:00:07.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T10:00:15.265Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T10:00:19.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T10:00:23.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T10:00:28.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T10:00:33.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T10:00:34.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T10:00:34.377Z] The best model improves the baseline by 14.52%. [2026-04-02T10:00:35.105Z] Top recommended movies for user id 72: [2026-04-02T10:00:35.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T10:00:35.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T10:00:35.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T10:00:35.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T10:00:35.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T10:00:35.105Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (52760.877 ms) ====== [2026-04-02T10:00:35.105Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-02T10:00:35.858Z] GC before operation: completed in 934.312 ms, heap usage 1.065 GB -> 96.524 MB. [2026-04-02T10:00:44.902Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T10:00:52.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T10:00:59.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T10:01:07.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T10:01:13.054Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T10:01:17.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T10:01:22.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T10:01:27.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T10:01:27.573Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T10:01:27.914Z] The best model improves the baseline by 14.52%. [2026-04-02T10:01:28.658Z] Top recommended movies for user id 72: [2026-04-02T10:01:28.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T10:01:28.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T10:01:28.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T10:01:28.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T10:01:28.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T10:01:28.658Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (52461.078 ms) ====== [2026-04-02T10:01:28.658Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-02T10:01:29.406Z] GC before operation: completed in 921.090 ms, heap usage 252.031 MB -> 91.586 MB. [2026-04-02T10:01:38.434Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T10:01:45.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T10:01:53.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T10:02:00.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T10:02:05.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T10:02:10.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T10:02:16.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T10:02:20.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T10:02:20.857Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T10:02:21.203Z] The best model improves the baseline by 14.52%. [2026-04-02T10:02:21.939Z] Top recommended movies for user id 72: [2026-04-02T10:02:21.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T10:02:21.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T10:02:21.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T10:02:21.940Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T10:02:21.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T10:02:21.940Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52402.392 ms) ====== [2026-04-02T10:02:21.940Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-02T10:02:22.681Z] GC before operation: completed in 933.389 ms, heap usage 245.494 MB -> 91.435 MB. [2026-04-02T10:02:30.095Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T10:02:39.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T10:02:46.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T10:02:53.907Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T10:02:58.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T10:03:03.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T10:03:07.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T10:03:12.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T10:03:13.147Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T10:03:13.486Z] The best model improves the baseline by 14.52%. [2026-04-02T10:03:14.230Z] Top recommended movies for user id 72: [2026-04-02T10:03:14.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T10:03:14.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T10:03:14.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T10:03:14.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T10:03:14.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T10:03:14.231Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51266.851 ms) ====== [2026-04-02T10:03:14.231Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-02T10:03:14.988Z] GC before operation: completed in 950.289 ms, heap usage 928.424 MB -> 96.275 MB. [2026-04-02T10:03:23.995Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T10:03:31.477Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T10:03:38.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T10:03:46.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T10:03:51.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T10:03:55.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T10:04:00.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T10:04:05.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T10:04:06.351Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T10:04:06.351Z] The best model improves the baseline by 14.52%. [2026-04-02T10:04:07.093Z] Top recommended movies for user id 72: [2026-04-02T10:04:07.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T10:04:07.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T10:04:07.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T10:04:07.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T10:04:07.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T10:04:07.093Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (52014.471 ms) ====== [2026-04-02T10:04:07.093Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-02T10:04:07.845Z] GC before operation: completed in 943.268 ms, heap usage 273.448 MB -> 91.452 MB. [2026-04-02T10:04:17.008Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T10:04:24.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T10:04:31.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T10:04:39.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T10:04:43.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T10:04:48.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T10:04:53.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T10:04:58.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T10:04:58.822Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T10:04:59.159Z] The best model improves the baseline by 14.52%. [2026-04-02T10:04:59.494Z] Top recommended movies for user id 72: [2026-04-02T10:04:59.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T10:04:59.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T10:04:59.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T10:04:59.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T10:04:59.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T10:04:59.494Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51708.364 ms) ====== [2026-04-02T10:04:59.495Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-02T10:05:00.702Z] GC before operation: completed in 945.570 ms, heap usage 494.347 MB -> 91.879 MB. [2026-04-02T10:05:09.674Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T10:05:17.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T10:05:26.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T10:05:35.051Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T10:05:38.907Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T10:05:43.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T10:05:48.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T10:05:53.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T10:05:54.166Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-02T10:05:54.167Z] The best model improves the baseline by 14.52%. [2026-04-02T10:05:54.906Z] Top recommended movies for user id 72: [2026-04-02T10:05:54.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-02T10:05:54.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-02T10:05:54.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-02T10:05:54.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-02T10:05:54.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-02T10:05:54.906Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (54284.013 ms) ====== [2026-04-02T10:05:58.772Z] ----------------------------------- [2026-04-02T10:05:58.772Z] renaissance-movie-lens_0_PASSED [2026-04-02T10:05:58.772Z] ----------------------------------- [2026-04-02T10:05:58.772Z] [2026-04-02T10:05:58.772Z] TEST TEARDOWN: [2026-04-02T10:05:58.772Z] Nothing to be done for teardown. [2026-04-02T10:05:58.772Z] renaissance-movie-lens_0 Finish Time: Thu Apr 2 10:05:57 2026 Epoch Time (ms): 1775124357975