[2026-03-05T15:10:39.875Z] Running test renaissance-movie-lens_0 ... [2026-03-05T15:10:39.875Z] =============================================== [2026-03-05T15:10:39.875Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 15:10:34 2026 Epoch Time (ms): 1772723434930 [2026-03-05T15:10:39.875Z] variation: NoOptions [2026-03-05T15:10:39.875Z] JVM_OPTIONS: [2026-03-05T15:10:39.875Z] { \ [2026-03-05T15:10:39.875Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T15:10:39.875Z] echo "Nothing to be done for setup."; \ [2026-03-05T15:10:39.875Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17727198976841/renaissance-movie-lens_0"; \ [2026-03-05T15:10:39.875Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17727198976841/renaissance-movie-lens_0"; \ [2026-03-05T15:10:39.875Z] echo ""; echo "TESTING:"; \ [2026-03-05T15:10:39.875Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17727198976841/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T15:10:39.875Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17727198976841/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T15:10:39.875Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T15:10:39.875Z] echo "Nothing to be done for teardown."; \ [2026-03-05T15:10:39.875Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17727198976841/TestTargetResult"; [2026-03-05T15:10:39.875Z] [2026-03-05T15:10:39.875Z] TEST SETUP: [2026-03-05T15:10:39.875Z] Nothing to be done for setup. [2026-03-05T15:10:39.875Z] [2026-03-05T15:10:39.875Z] TESTING: [2026-03-05T15:10:59.221Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T15:11:32.870Z] 15:11:29.307 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. [2026-03-05T15:11:40.266Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T15:11:42.583Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T15:11:42.583Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T15:11:43.326Z] GC before operation: completed in 671.540 ms, heap usage 413.981 MB -> 76.410 MB. [2026-03-05T15:12:11.302Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:12:27.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:12:40.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:12:54.050Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:13:00.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:13:07.485Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:13:14.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:13:20.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:13:22.176Z] 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. [2026-03-05T15:13:22.526Z] The best model improves the baseline by 14.52%. [2026-03-05T15:13:23.707Z] Top recommended movies for user id 72: [2026-03-05T15:13:23.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:13:23.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:13:23.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:13:23.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:13:23.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:13:23.707Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (100328.376 ms) ====== [2026-03-05T15:13:23.707Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T15:13:24.921Z] GC before operation: completed in 1083.685 ms, heap usage 259.749 MB -> 88.341 MB. [2026-03-05T15:13:38.215Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:13:47.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:13:58.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:14:09.392Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:14:14.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:14:20.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:14:26.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:14:32.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:14:33.065Z] 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. [2026-03-05T15:14:33.408Z] The best model improves the baseline by 14.52%. [2026-03-05T15:14:34.156Z] Top recommended movies for user id 72: [2026-03-05T15:14:34.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:14:34.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:14:34.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:14:34.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:14:34.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:14:34.157Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (69127.688 ms) ====== [2026-03-05T15:14:34.157Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T15:14:34.918Z] GC before operation: completed in 924.627 ms, heap usage 617.522 MB -> 92.943 MB. [2026-03-05T15:14:46.033Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:14:55.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:15:06.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:15:15.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:15:19.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:15:26.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:15:31.019Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:15:37.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:15:37.789Z] 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. [2026-03-05T15:15:37.789Z] The best model improves the baseline by 14.52%. [2026-03-05T15:15:38.526Z] Top recommended movies for user id 72: [2026-03-05T15:15:38.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:15:38.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:15:38.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:15:38.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:15:38.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:15:38.526Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (63762.292 ms) ====== [2026-03-05T15:15:38.526Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T15:15:39.755Z] GC before operation: completed in 913.821 ms, heap usage 799.564 MB -> 93.992 MB. [2026-03-05T15:15:48.800Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:15:57.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:16:06.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:16:17.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:16:22.793Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:16:28.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:16:33.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:16:39.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:16:40.933Z] 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. [2026-03-05T15:16:40.933Z] The best model improves the baseline by 14.52%. [2026-03-05T15:16:41.685Z] Top recommended movies for user id 72: [2026-03-05T15:16:41.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:16:41.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:16:41.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:16:41.685Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:16:41.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:16:41.685Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (62209.697 ms) ====== [2026-03-05T15:16:41.685Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T15:16:42.436Z] GC before operation: completed in 694.321 ms, heap usage 266.694 MB -> 90.243 MB. [2026-03-05T15:16:53.420Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:17:02.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:17:13.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:17:22.520Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:17:27.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:17:33.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:17:39.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:17:44.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:17:45.795Z] 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. [2026-03-05T15:17:45.795Z] The best model improves the baseline by 14.52%. [2026-03-05T15:17:46.528Z] Top recommended movies for user id 72: [2026-03-05T15:17:46.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:17:46.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:17:46.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:17:46.528Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:17:46.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:17:46.528Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (64077.273 ms) ====== [2026-03-05T15:17:46.528Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T15:17:47.281Z] GC before operation: completed in 722.548 ms, heap usage 123.740 MB -> 89.990 MB. [2026-03-05T15:17:58.266Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:18:05.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:18:14.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:18:25.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:18:29.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:18:35.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:18:41.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:18:46.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:18:48.390Z] 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. [2026-03-05T15:18:48.390Z] The best model improves the baseline by 14.52%. [2026-03-05T15:18:49.145Z] Top recommended movies for user id 72: [2026-03-05T15:18:49.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:18:49.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:18:49.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:18:49.145Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:18:49.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:18:49.145Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (61668.274 ms) ====== [2026-03-05T15:18:49.145Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T15:18:49.492Z] GC before operation: completed in 724.346 ms, heap usage 102.372 MB -> 90.297 MB. [2026-03-05T15:19:00.502Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:19:07.912Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:19:16.963Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:19:26.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:19:30.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:19:37.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:19:41.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:19:47.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:19:48.300Z] 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. [2026-03-05T15:19:48.300Z] The best model improves the baseline by 14.52%. [2026-03-05T15:19:49.036Z] Top recommended movies for user id 72: [2026-03-05T15:19:49.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:19:49.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:19:49.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:19:49.036Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:19:49.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:19:49.036Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (59355.618 ms) ====== [2026-03-05T15:19:49.036Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T15:19:49.792Z] GC before operation: completed in 790.769 ms, heap usage 423.161 MB -> 90.702 MB. [2026-03-05T15:19:58.829Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:20:07.867Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:20:16.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:20:26.022Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:20:30.872Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:20:35.732Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:20:42.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:20:46.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:20:47.619Z] 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. [2026-03-05T15:20:47.963Z] The best model improves the baseline by 14.52%. [2026-03-05T15:20:48.316Z] Top recommended movies for user id 72: [2026-03-05T15:20:48.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:20:48.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:20:48.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:20:48.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:20:48.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:20:48.316Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (58638.742 ms) ====== [2026-03-05T15:20:48.316Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T15:20:49.166Z] GC before operation: completed in 742.134 ms, heap usage 366.898 MB -> 90.860 MB. [2026-03-05T15:20:58.310Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:21:07.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:21:14.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:21:22.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:21:27.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:21:32.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:21:37.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:21:42.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:21:42.921Z] 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. [2026-03-05T15:21:42.921Z] The best model improves the baseline by 14.52%. [2026-03-05T15:21:43.657Z] Top recommended movies for user id 72: [2026-03-05T15:21:43.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:21:43.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:21:43.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:21:43.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:21:43.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:21:43.657Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54603.628 ms) ====== [2026-03-05T15:21:43.657Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T15:21:44.419Z] GC before operation: completed in 745.110 ms, heap usage 759.779 MB -> 94.422 MB. [2026-03-05T15:21:53.449Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:22:02.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:22:11.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:22:19.030Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:22:23.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:22:28.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:22:33.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:22:38.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:22:38.909Z] 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. [2026-03-05T15:22:38.909Z] The best model improves the baseline by 14.52%. [2026-03-05T15:22:39.667Z] Top recommended movies for user id 72: [2026-03-05T15:22:39.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:22:39.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:22:39.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:22:39.667Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:22:39.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:22:39.667Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54942.694 ms) ====== [2026-03-05T15:22:39.667Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T15:22:40.419Z] GC before operation: completed in 772.657 ms, heap usage 1.000 GB -> 95.685 MB. [2026-03-05T15:22:49.587Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:22:56.994Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:23:06.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:23:13.427Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:23:18.295Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:23:23.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:23:29.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:23:34.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:23:35.369Z] 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. [2026-03-05T15:23:35.369Z] The best model improves the baseline by 14.52%. [2026-03-05T15:23:36.123Z] Top recommended movies for user id 72: [2026-03-05T15:23:36.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:23:36.123Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:23:36.123Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:23:36.123Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:23:36.123Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:23:36.123Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55684.117 ms) ====== [2026-03-05T15:23:36.123Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T15:23:36.857Z] GC before operation: completed in 714.977 ms, heap usage 301.137 MB -> 90.511 MB. [2026-03-05T15:23:45.897Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:23:54.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:24:02.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:24:11.523Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:24:16.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:24:22.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:24:27.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:24:33.371Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:24:33.371Z] 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. [2026-03-05T15:24:33.371Z] The best model improves the baseline by 14.52%. [2026-03-05T15:24:34.106Z] Top recommended movies for user id 72: [2026-03-05T15:24:34.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:24:34.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:24:34.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:24:34.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:24:34.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:24:34.106Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (57451.117 ms) ====== [2026-03-05T15:24:34.106Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T15:24:34.858Z] GC before operation: completed in 722.381 ms, heap usage 517.563 MB -> 91.000 MB. [2026-03-05T15:24:43.912Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:24:51.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:25:00.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:25:07.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:25:11.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:25:16.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:25:22.629Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:25:27.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:25:27.824Z] 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. [2026-03-05T15:25:27.824Z] The best model improves the baseline by 14.52%. [2026-03-05T15:25:28.675Z] Top recommended movies for user id 72: [2026-03-05T15:25:28.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:25:28.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:25:28.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:25:28.675Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:25:28.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:25:28.675Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53636.496 ms) ====== [2026-03-05T15:25:28.675Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T15:25:29.421Z] GC before operation: completed in 779.193 ms, heap usage 504.645 MB -> 91.117 MB. [2026-03-05T15:25:38.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:25:45.912Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:25:56.878Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:26:04.290Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:26:10.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:26:15.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:26:21.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:26:26.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:26:26.990Z] 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. [2026-03-05T15:26:26.990Z] The best model improves the baseline by 14.52%. [2026-03-05T15:26:27.733Z] Top recommended movies for user id 72: [2026-03-05T15:26:27.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:26:27.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:26:27.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:26:27.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:26:27.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:26:27.733Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (58312.116 ms) ====== [2026-03-05T15:26:27.733Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T15:26:28.470Z] GC before operation: completed in 721.916 ms, heap usage 395.288 MB -> 90.809 MB. [2026-03-05T15:26:37.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:26:46.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:26:55.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:27:03.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:27:08.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:27:12.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:27:18.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:27:23.769Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:27:24.508Z] 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. [2026-03-05T15:27:24.508Z] The best model improves the baseline by 14.52%. [2026-03-05T15:27:25.241Z] Top recommended movies for user id 72: [2026-03-05T15:27:25.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:27:25.241Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:27:25.241Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:27:25.241Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:27:25.241Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:27:25.241Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (56947.436 ms) ====== [2026-03-05T15:27:25.241Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T15:27:25.993Z] GC before operation: completed in 714.833 ms, heap usage 411.257 MB -> 91.059 MB. [2026-03-05T15:27:35.106Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:27:44.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:27:51.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:28:00.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:28:05.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:28:10.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:28:16.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:28:21.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:28:22.522Z] 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. [2026-03-05T15:28:22.522Z] The best model improves the baseline by 14.52%. [2026-03-05T15:28:23.261Z] Top recommended movies for user id 72: [2026-03-05T15:28:23.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:28:23.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:28:23.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:28:23.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:28:23.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:28:23.261Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (57458.772 ms) ====== [2026-03-05T15:28:23.261Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T15:28:24.018Z] GC before operation: completed in 728.775 ms, heap usage 371.333 MB -> 90.878 MB. [2026-03-05T15:28:33.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:28:40.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:28:49.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:28:57.160Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:29:02.021Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:29:08.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:29:12.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:29:18.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:29:18.971Z] 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. [2026-03-05T15:29:19.319Z] The best model improves the baseline by 14.52%. [2026-03-05T15:29:20.078Z] Top recommended movies for user id 72: [2026-03-05T15:29:20.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:29:20.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:29:20.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:29:20.078Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:29:20.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:29:20.078Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (55702.842 ms) ====== [2026-03-05T15:29:20.078Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T15:29:20.427Z] GC before operation: completed in 715.334 ms, heap usage 186.595 MB -> 90.743 MB. [2026-03-05T15:29:29.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:29:38.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:29:46.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:29:55.099Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:29:59.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:30:05.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:30:10.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:30:16.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:30:17.271Z] 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. [2026-03-05T15:30:17.271Z] The best model improves the baseline by 14.52%. [2026-03-05T15:30:18.024Z] Top recommended movies for user id 72: [2026-03-05T15:30:18.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:30:18.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:30:18.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:30:18.024Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:30:18.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:30:18.024Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (57284.266 ms) ====== [2026-03-05T15:30:18.024Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T15:30:18.771Z] GC before operation: completed in 721.823 ms, heap usage 348.376 MB -> 90.690 MB. [2026-03-05T15:30:27.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:30:36.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:30:44.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:30:53.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:30:58.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:31:04.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:31:09.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:31:15.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:31:15.608Z] 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. [2026-03-05T15:31:15.608Z] The best model improves the baseline by 14.52%. [2026-03-05T15:31:16.352Z] Top recommended movies for user id 72: [2026-03-05T15:31:16.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:31:16.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:31:16.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:31:16.352Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:31:16.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:31:16.352Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (57683.725 ms) ====== [2026-03-05T15:31:16.352Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T15:31:17.106Z] GC before operation: completed in 721.964 ms, heap usage 351.744 MB -> 90.898 MB. [2026-03-05T15:31:26.146Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T15:31:35.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T15:31:44.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T15:31:51.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T15:31:56.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T15:32:01.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T15:32:07.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T15:32:12.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T15:32:12.407Z] 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. [2026-03-05T15:32:12.751Z] The best model improves the baseline by 14.52%. [2026-03-05T15:32:13.493Z] Top recommended movies for user id 72: [2026-03-05T15:32:13.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T15:32:13.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T15:32:13.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T15:32:13.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T15:32:13.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T15:32:13.493Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (56287.435 ms) ====== [2026-03-05T15:32:17.378Z] ----------------------------------- [2026-03-05T15:32:17.378Z] renaissance-movie-lens_0_PASSED [2026-03-05T15:32:17.378Z] ----------------------------------- [2026-03-05T15:32:17.378Z] [2026-03-05T15:32:17.378Z] TEST TEARDOWN: [2026-03-05T15:32:17.378Z] Nothing to be done for teardown. [2026-03-05T15:32:17.378Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 15:32:17 2026 Epoch Time (ms): 1772724737058