[2026-03-05T23:47:19.189Z] Running test renaissance-movie-lens_0 ... [2026-03-05T23:47:19.189Z] =============================================== [2026-03-05T23:47:19.189Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 18:47:18 2026 Epoch Time (ms): 1772754438788 [2026-03-05T23:47:19.189Z] variation: NoOptions [2026-03-05T23:47:19.189Z] JVM_OPTIONS: [2026-03-05T23:47:19.189Z] { \ [2026-03-05T23:47:19.189Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T23:47:19.189Z] echo "Nothing to be done for setup."; \ [2026-03-05T23:47:19.189Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727539839101/renaissance-movie-lens_0"; \ [2026-03-05T23:47:19.189Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727539839101/renaissance-movie-lens_0"; \ [2026-03-05T23:47:19.189Z] echo ""; echo "TESTING:"; \ [2026-03-05T23:47:19.189Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727539839101/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T23:47:19.189Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727539839101/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T23:47:19.189Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T23:47:19.189Z] echo "Nothing to be done for teardown."; \ [2026-03-05T23:47:19.189Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17727539839101/TestTargetResult"; [2026-03-05T23:47:19.189Z] [2026-03-05T23:47:19.189Z] TEST SETUP: [2026-03-05T23:47:19.189Z] Nothing to be done for setup. [2026-03-05T23:47:19.189Z] [2026-03-05T23:47:19.189Z] TESTING: [2026-03-05T23:47:19.189Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-05T23:47:19.189Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17727539839101/renaissance-movie-lens_0/launcher-184718-12888259627388827317/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-05T23:47:19.189Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-05T23:47:19.189Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-05T23:47:21.547Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T23:47:24.650Z] 18:47:23.995 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T23:47:25.003Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T23:47:25.003Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T23:47:25.003Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T23:47:25.003Z] GC before operation: completed in 49.257 ms, heap usage 236.136 MB -> 75.885 MB. [2026-03-05T23:47:27.361Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:47:29.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:47:30.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:47:31.560Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:47:32.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:47:33.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:47:33.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:47:34.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:47:34.623Z] 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. [2026-03-05T23:47:34.623Z] The best model improves the baseline by 14.52%. [2026-03-05T23:47:34.623Z] Top recommended movies for user id 72: [2026-03-05T23:47:34.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:47:34.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:47:34.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:47:34.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:47:34.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:47:34.623Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9475.304 ms) ====== [2026-03-05T23:47:34.623Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T23:47:34.623Z] GC before operation: completed in 58.529 ms, heap usage 521.354 MB -> 92.692 MB. [2026-03-05T23:47:35.854Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:47:37.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:47:38.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:47:40.106Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:47:40.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:47:41.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:47:42.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:47:43.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:47:43.151Z] 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. [2026-03-05T23:47:43.151Z] The best model improves the baseline by 14.52%. [2026-03-05T23:47:43.151Z] Top recommended movies for user id 72: [2026-03-05T23:47:43.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:47:43.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:47:43.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:47:43.151Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:47:43.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:47:43.151Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8480.327 ms) ====== [2026-03-05T23:47:43.151Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T23:47:43.151Z] GC before operation: completed in 51.482 ms, heap usage 119.802 MB -> 88.635 MB. [2026-03-05T23:47:44.378Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:47:46.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:47:46.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:47:48.140Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:47:48.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:47:49.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:47:50.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:47:50.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:47:51.162Z] 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. [2026-03-05T23:47:51.162Z] The best model improves the baseline by 14.52%. [2026-03-05T23:47:51.162Z] Top recommended movies for user id 72: [2026-03-05T23:47:51.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:47:51.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:47:51.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:47:51.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:47:51.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:47:51.162Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7966.610 ms) ====== [2026-03-05T23:47:51.162Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T23:47:51.162Z] GC before operation: completed in 48.388 ms, heap usage 662.997 MB -> 93.320 MB. [2026-03-05T23:47:52.383Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:47:53.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:47:54.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:47:56.093Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:47:56.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:47:57.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:47:58.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:47:59.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:47:59.162Z] 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. [2026-03-05T23:47:59.162Z] The best model improves the baseline by 14.52%. [2026-03-05T23:47:59.522Z] Top recommended movies for user id 72: [2026-03-05T23:47:59.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:47:59.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:47:59.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:47:59.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:47:59.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:47:59.522Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8166.919 ms) ====== [2026-03-05T23:47:59.522Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T23:47:59.522Z] GC before operation: completed in 65.550 ms, heap usage 360.960 MB -> 89.992 MB. [2026-03-05T23:48:00.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:02.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:03.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:04.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:05.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:05.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:06.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:07.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:07.513Z] 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. [2026-03-05T23:48:07.513Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:07.513Z] Top recommended movies for user id 72: [2026-03-05T23:48:07.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:07.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:07.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:07.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:07.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:07.513Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8131.035 ms) ====== [2026-03-05T23:48:07.513Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T23:48:07.513Z] GC before operation: completed in 41.123 ms, heap usage 319.959 MB -> 89.755 MB. [2026-03-05T23:48:08.734Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:09.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:11.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:12.431Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:13.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:13.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:14.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:15.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:15.500Z] 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. [2026-03-05T23:48:15.500Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:15.500Z] Top recommended movies for user id 72: [2026-03-05T23:48:15.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:15.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:15.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:15.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:15.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:15.500Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7947.610 ms) ====== [2026-03-05T23:48:15.500Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T23:48:15.500Z] GC before operation: completed in 42.982 ms, heap usage 292.909 MB -> 90.203 MB. [2026-03-05T23:48:16.755Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:17.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:19.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:20.416Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:21.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:21.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:22.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:23.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:23.924Z] 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. [2026-03-05T23:48:23.924Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:23.924Z] Top recommended movies for user id 72: [2026-03-05T23:48:23.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:23.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:23.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:23.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:23.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:23.924Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8224.014 ms) ====== [2026-03-05T23:48:23.924Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T23:48:23.924Z] GC before operation: completed in 39.789 ms, heap usage 472.552 MB -> 90.449 MB. [2026-03-05T23:48:25.143Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:26.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:27.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:28.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:29.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:29.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:30.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:31.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:31.478Z] 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. [2026-03-05T23:48:31.478Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:31.830Z] Top recommended movies for user id 72: [2026-03-05T23:48:31.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:31.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:31.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:31.831Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:31.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:31.831Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7748.742 ms) ====== [2026-03-05T23:48:31.831Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T23:48:31.831Z] GC before operation: completed in 49.621 ms, heap usage 162.117 MB -> 92.422 MB. [2026-03-05T23:48:33.059Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:33.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:35.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:35.814Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:36.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:37.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:37.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:38.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:38.572Z] 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. [2026-03-05T23:48:38.572Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:38.572Z] Top recommended movies for user id 72: [2026-03-05T23:48:38.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:38.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:38.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:38.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:38.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:38.573Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6906.353 ms) ====== [2026-03-05T23:48:38.573Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T23:48:38.573Z] GC before operation: completed in 37.914 ms, heap usage 345.537 MB -> 90.160 MB. [2026-03-05T23:48:39.790Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:40.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:41.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:42.593Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:43.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:44.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:44.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:45.245Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:45.245Z] 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. [2026-03-05T23:48:45.245Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:45.598Z] Top recommended movies for user id 72: [2026-03-05T23:48:45.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:45.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:45.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:45.598Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:45.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:45.598Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6808.870 ms) ====== [2026-03-05T23:48:45.598Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T23:48:45.598Z] GC before operation: completed in 41.876 ms, heap usage 227.839 MB -> 90.380 MB. [2026-03-05T23:48:46.830Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:47.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:48.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:50.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:50.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:51.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:51.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:52.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:52.726Z] 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. [2026-03-05T23:48:52.726Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:52.726Z] Top recommended movies for user id 72: [2026-03-05T23:48:52.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:52.726Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:52.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:52.726Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:52.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:52.726Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7325.944 ms) ====== [2026-03-05T23:48:52.726Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T23:48:53.078Z] GC before operation: completed in 45.613 ms, heap usage 421.734 MB -> 90.353 MB. [2026-03-05T23:48:54.299Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:48:55.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:48:56.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:48:57.057Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:48:57.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:48:58.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:48:58.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:48:59.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:48:59.707Z] 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. [2026-03-05T23:48:59.707Z] The best model improves the baseline by 14.52%. [2026-03-05T23:48:59.707Z] Top recommended movies for user id 72: [2026-03-05T23:48:59.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:48:59.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:48:59.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:48:59.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:48:59.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:48:59.707Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7002.222 ms) ====== [2026-03-05T23:48:59.707Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T23:49:00.071Z] GC before operation: completed in 47.877 ms, heap usage 228.584 MB -> 90.207 MB. [2026-03-05T23:49:00.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:02.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:02.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:04.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:05.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:05.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:06.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:07.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:07.294Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T23:49:07.294Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:07.646Z] Top recommended movies for user id 72: [2026-03-05T23:49:07.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:07.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:07.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:07.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:07.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:07.646Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7605.812 ms) ====== [2026-03-05T23:49:07.646Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T23:49:07.646Z] GC before operation: completed in 51.220 ms, heap usage 423.025 MB -> 91.899 MB. [2026-03-05T23:49:08.868Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:10.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:11.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:12.595Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:12.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:13.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:14.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:15.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:15.243Z] 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. [2026-03-05T23:49:15.243Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:15.243Z] Top recommended movies for user id 72: [2026-03-05T23:49:15.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:15.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:15.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:15.243Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:15.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:15.243Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7704.228 ms) ====== [2026-03-05T23:49:15.243Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T23:49:15.243Z] GC before operation: completed in 49.878 ms, heap usage 118.182 MB -> 90.208 MB. [2026-03-05T23:49:16.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:17.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:18.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:19.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:20.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:20.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:21.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:22.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:22.369Z] 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. [2026-03-05T23:49:22.369Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:22.730Z] Top recommended movies for user id 72: [2026-03-05T23:49:22.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:22.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:22.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:22.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:22.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:22.730Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7230.450 ms) ====== [2026-03-05T23:49:22.730Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T23:49:22.730Z] GC before operation: completed in 55.326 ms, heap usage 353.959 MB -> 90.747 MB. [2026-03-05T23:49:23.963Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:25.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:26.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:27.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:27.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:28.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:29.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:30.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:30.660Z] 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. [2026-03-05T23:49:30.660Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:30.660Z] Top recommended movies for user id 72: [2026-03-05T23:49:30.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:30.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:30.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:30.660Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:30.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:30.660Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7954.966 ms) ====== [2026-03-05T23:49:30.660Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T23:49:30.660Z] GC before operation: completed in 45.169 ms, heap usage 108.720 MB -> 90.180 MB. [2026-03-05T23:49:31.875Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:33.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:34.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:35.166Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:35.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:36.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:37.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:37.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:37.809Z] 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. [2026-03-05T23:49:37.809Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:38.160Z] Top recommended movies for user id 72: [2026-03-05T23:49:38.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:38.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:38.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:38.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:38.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:38.160Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7398.543 ms) ====== [2026-03-05T23:49:38.160Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T23:49:38.160Z] GC before operation: completed in 40.626 ms, heap usage 453.776 MB -> 90.661 MB. [2026-03-05T23:49:39.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:40.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:41.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:42.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:43.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:43.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:44.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:44.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:45.251Z] 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. [2026-03-05T23:49:45.251Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:45.251Z] Top recommended movies for user id 72: [2026-03-05T23:49:45.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:45.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:45.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:45.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:45.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:45.251Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7133.842 ms) ====== [2026-03-05T23:49:45.251Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T23:49:45.251Z] GC before operation: completed in 58.494 ms, heap usage 203.542 MB -> 90.258 MB. [2026-03-05T23:49:46.483Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:47.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:47.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:49.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:49.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:50.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:51.117Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:51.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:51.827Z] 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. [2026-03-05T23:49:51.827Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:51.827Z] Top recommended movies for user id 72: [2026-03-05T23:49:51.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:51.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:51.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:51.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:51.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:51.827Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6522.895 ms) ====== [2026-03-05T23:49:51.827Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T23:49:51.827Z] GC before operation: completed in 38.325 ms, heap usage 286.639 MB -> 90.456 MB. [2026-03-05T23:49:53.038Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:49:53.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:49:55.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:49:56.230Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:49:56.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:49:57.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:49:58.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:49:58.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:49:58.848Z] 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. [2026-03-05T23:49:58.848Z] The best model improves the baseline by 14.52%. [2026-03-05T23:49:58.848Z] Top recommended movies for user id 72: [2026-03-05T23:49:58.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:49:58.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:49:58.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:49:58.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:49:58.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:49:58.848Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6973.223 ms) ====== [2026-03-05T23:49:58.848Z] ----------------------------------- [2026-03-05T23:49:58.848Z] renaissance-movie-lens_0_PASSED [2026-03-05T23:49:58.848Z] ----------------------------------- [2026-03-05T23:49:58.848Z] [2026-03-05T23:49:58.848Z] TEST TEARDOWN: [2026-03-05T23:49:58.848Z] Nothing to be done for teardown. [2026-03-05T23:49:58.848Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 18:49:58 2026 Epoch Time (ms): 1772754598759