[2026-03-05T22:34:19.951Z] Running test renaissance-movie-lens_0 ... [2026-03-05T22:34:19.951Z] =============================================== [2026-03-05T22:34:19.951Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 22:34:19 2026 Epoch Time (ms): 1772750059385 [2026-03-05T22:34:19.951Z] variation: NoOptions [2026-03-05T22:34:19.951Z] JVM_OPTIONS: [2026-03-05T22:34:19.951Z] { \ [2026-03-05T22:34:19.951Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T22:34:19.951Z] echo "Nothing to be done for setup."; \ [2026-03-05T22:34:19.951Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727489279224/renaissance-movie-lens_0"; \ [2026-03-05T22:34:19.951Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727489279224/renaissance-movie-lens_0"; \ [2026-03-05T22:34:19.951Z] echo ""; echo "TESTING:"; \ [2026-03-05T22:34:19.951Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/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_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727489279224/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T22:34:19.951Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727489279224/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T22:34:19.951Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T22:34:19.951Z] echo "Nothing to be done for teardown."; \ [2026-03-05T22:34:19.951Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17727489279224/TestTargetResult"; [2026-03-05T22:34:19.951Z] [2026-03-05T22:34:19.951Z] TEST SETUP: [2026-03-05T22:34:19.951Z] Nothing to be done for setup. [2026-03-05T22:34:19.951Z] [2026-03-05T22:34:19.951Z] TESTING: [2026-03-05T22:34:21.141Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-05T22:34:21.141Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17727489279224/renaissance-movie-lens_0/launcher-223419-9948348086094989347/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-05T22:34:21.141Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-05T22:34:21.141Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-05T22:34:28.619Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T22:34:38.677Z] 22:34:38.159 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. [2026-03-05T22:34:40.652Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T22:34:41.976Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T22:34:41.976Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T22:34:41.976Z] GC before operation: completed in 134.931 ms, heap usage 218.677 MB -> 75.607 MB. [2026-03-05T22:34:50.758Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:34:55.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:35:00.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:35:03.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:35:06.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:35:09.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:35:12.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:35:14.667Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:35:15.633Z] 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. [2026-03-05T22:35:15.633Z] The best model improves the baseline by 14.52%. [2026-03-05T22:35:15.633Z] Top recommended movies for user id 72: [2026-03-05T22:35:15.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:35:15.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:35:15.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:35:15.633Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:35:15.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:35:15.633Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33654.843 ms) ====== [2026-03-05T22:35:15.633Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T22:35:16.594Z] GC before operation: completed in 221.265 ms, heap usage 272.245 MB -> 95.074 MB. [2026-03-05T22:35:22.228Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:35:27.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:35:33.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:35:37.837Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:35:39.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:35:41.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:35:45.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:35:47.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:35:47.213Z] 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. [2026-03-05T22:35:47.213Z] The best model improves the baseline by 14.52%. [2026-03-05T22:35:48.282Z] Top recommended movies for user id 72: [2026-03-05T22:35:48.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:35:48.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:35:48.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:35:48.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:35:48.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:35:48.282Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31745.274 ms) ====== [2026-03-05T22:35:48.282Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T22:35:48.282Z] GC before operation: completed in 491.483 ms, heap usage 276.953 MB -> 88.449 MB. [2026-03-05T22:35:53.722Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:35:59.520Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:36:05.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:36:10.874Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:36:13.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:36:17.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:36:20.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:36:23.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:36:23.068Z] 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. [2026-03-05T22:36:23.068Z] The best model improves the baseline by 14.52%. [2026-03-05T22:36:24.056Z] Top recommended movies for user id 72: [2026-03-05T22:36:24.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:36:24.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:36:24.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:36:24.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:36:24.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:36:24.056Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (35149.083 ms) ====== [2026-03-05T22:36:24.056Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T22:36:24.056Z] GC before operation: completed in 309.875 ms, heap usage 159.991 MB -> 88.800 MB. [2026-03-05T22:36:28.266Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:36:34.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:36:36.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:36:40.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:36:42.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:36:44.799Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:36:47.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:36:50.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:36:50.925Z] 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. [2026-03-05T22:36:50.925Z] The best model improves the baseline by 14.52%. [2026-03-05T22:36:50.925Z] Top recommended movies for user id 72: [2026-03-05T22:36:50.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:36:50.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:36:50.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:36:50.925Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:36:50.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:36:50.925Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27336.488 ms) ====== [2026-03-05T22:36:50.925Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T22:36:50.925Z] GC before operation: completed in 189.521 ms, heap usage 331.381 MB -> 89.324 MB. [2026-03-05T22:36:56.645Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:37:02.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:37:08.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:37:13.452Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:37:16.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:37:19.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:37:24.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:37:26.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:37:26.069Z] 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. [2026-03-05T22:37:26.069Z] The best model improves the baseline by 14.52%. [2026-03-05T22:37:27.071Z] Top recommended movies for user id 72: [2026-03-05T22:37:27.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:37:27.071Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:37:27.071Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:37:27.071Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:37:27.071Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:37:27.071Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (35407.961 ms) ====== [2026-03-05T22:37:27.071Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T22:37:27.071Z] GC before operation: completed in 390.515 ms, heap usage 210.066 MB -> 89.159 MB. [2026-03-05T22:37:31.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:37:35.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:37:38.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:37:42.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:37:45.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:37:47.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:37:49.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:37:52.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:37:52.969Z] 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. [2026-03-05T22:37:53.954Z] The best model improves the baseline by 14.52%. [2026-03-05T22:37:53.954Z] Top recommended movies for user id 72: [2026-03-05T22:37:53.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:37:53.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:37:53.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:37:53.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:37:53.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:37:53.954Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26628.579 ms) ====== [2026-03-05T22:37:53.954Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T22:37:53.954Z] GC before operation: completed in 270.635 ms, heap usage 263.293 MB -> 89.620 MB. [2026-03-05T22:37:58.164Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:38:01.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:38:05.406Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:38:08.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:38:11.915Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:38:13.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:38:16.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:38:18.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:38:18.960Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T22:38:18.960Z] The best model improves the baseline by 14.52%. [2026-03-05T22:38:19.929Z] Top recommended movies for user id 72: [2026-03-05T22:38:19.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:38:19.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:38:19.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:38:19.929Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:38:19.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:38:19.929Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25400.162 ms) ====== [2026-03-05T22:38:19.929Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T22:38:19.929Z] GC before operation: completed in 231.028 ms, heap usage 581.698 MB -> 93.154 MB. [2026-03-05T22:38:24.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:38:28.566Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:38:32.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:38:37.016Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:38:40.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:38:42.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:38:45.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:38:47.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:38:48.112Z] 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. [2026-03-05T22:38:48.112Z] The best model improves the baseline by 14.52%. [2026-03-05T22:38:48.112Z] Top recommended movies for user id 72: [2026-03-05T22:38:48.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:38:48.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:38:48.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:38:48.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:38:48.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:38:48.112Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28347.416 ms) ====== [2026-03-05T22:38:48.112Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T22:38:48.112Z] GC before operation: completed in 242.299 ms, heap usage 301.942 MB -> 89.857 MB. [2026-03-05T22:38:52.320Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:38:58.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:38:59.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:39:03.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:39:06.780Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:39:08.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:39:10.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:39:12.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:39:13.707Z] 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. [2026-03-05T22:39:13.707Z] The best model improves the baseline by 14.52%. [2026-03-05T22:39:13.707Z] Top recommended movies for user id 72: [2026-03-05T22:39:13.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:39:13.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:39:13.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:39:13.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:39:13.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:39:13.707Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25424.558 ms) ====== [2026-03-05T22:39:13.707Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T22:39:13.707Z] GC before operation: completed in 246.131 ms, heap usage 122.402 MB -> 90.904 MB. [2026-03-05T22:39:17.913Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:39:22.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:39:26.516Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:39:35.413Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:39:35.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:39:52.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:39:52.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:39:52.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:39:52.647Z] 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. [2026-03-05T22:39:52.647Z] The best model improves the baseline by 14.52%. [2026-03-05T22:39:52.647Z] Top recommended movies for user id 72: [2026-03-05T22:39:52.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:39:52.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:39:52.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:39:52.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:39:52.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:39:52.647Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25959.299 ms) ====== [2026-03-05T22:39:52.647Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T22:39:52.647Z] GC before operation: completed in 299.673 ms, heap usage 235.702 MB -> 89.825 MB. [2026-03-05T22:39:52.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:39:52.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:40:05.207Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:40:05.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:40:05.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:40:05.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:40:13.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:40:13.091Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:40:13.091Z] 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. [2026-03-05T22:40:13.091Z] The best model improves the baseline by 14.52%. [2026-03-05T22:40:13.091Z] Top recommended movies for user id 72: [2026-03-05T22:40:13.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:40:13.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:40:13.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:40:13.091Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:40:13.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:40:13.091Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25900.156 ms) ====== [2026-03-05T22:40:13.091Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T22:40:13.091Z] GC before operation: completed in 177.757 ms, heap usage 95.980 MB -> 89.786 MB. [2026-03-05T22:40:13.091Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:40:13.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:40:16.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:40:22.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:40:22.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:40:23.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:40:25.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:40:27.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:40:28.603Z] 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. [2026-03-05T22:40:28.603Z] The best model improves the baseline by 14.52%. [2026-03-05T22:40:28.603Z] Top recommended movies for user id 72: [2026-03-05T22:40:28.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:40:28.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:40:28.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:40:28.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:40:28.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:40:28.603Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22473.128 ms) ====== [2026-03-05T22:40:28.603Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T22:40:28.603Z] GC before operation: completed in 219.609 ms, heap usage 266.011 MB -> 89.904 MB. [2026-03-05T22:40:33.031Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:40:36.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:40:41.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:40:45.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:40:47.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:40:50.382Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:40:52.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:40:53.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:40:54.373Z] 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. [2026-03-05T22:40:54.373Z] The best model improves the baseline by 14.52%. [2026-03-05T22:40:54.373Z] Top recommended movies for user id 72: [2026-03-05T22:40:54.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:40:54.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:40:54.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:40:54.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:40:54.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:40:54.373Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25381.084 ms) ====== [2026-03-05T22:40:54.373Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T22:40:54.373Z] GC before operation: completed in 163.053 ms, heap usage 177.474 MB -> 89.843 MB. [2026-03-05T22:40:58.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:41:02.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:41:07.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:41:11.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:41:13.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:41:15.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:41:17.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:41:19.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:41:19.223Z] 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. [2026-03-05T22:41:19.223Z] The best model improves the baseline by 14.52%. [2026-03-05T22:41:19.223Z] Top recommended movies for user id 72: [2026-03-05T22:41:19.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:41:19.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:41:19.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:41:19.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:41:19.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:41:19.223Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25037.480 ms) ====== [2026-03-05T22:41:19.223Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T22:41:20.229Z] GC before operation: completed in 169.802 ms, heap usage 389.582 MB -> 89.979 MB. [2026-03-05T22:41:23.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:41:26.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:41:30.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:41:33.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:41:36.350Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:41:38.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:41:41.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:41:43.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:41:44.443Z] 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. [2026-03-05T22:41:44.443Z] The best model improves the baseline by 14.52%. [2026-03-05T22:41:44.443Z] Top recommended movies for user id 72: [2026-03-05T22:41:44.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:41:44.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:41:44.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:41:44.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:41:44.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:41:44.443Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24689.336 ms) ====== [2026-03-05T22:41:44.443Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T22:41:44.443Z] GC before operation: completed in 214.264 ms, heap usage 374.537 MB -> 90.163 MB. [2026-03-05T22:41:49.903Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:41:52.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:41:57.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:42:01.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:42:04.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:42:07.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:42:10.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:42:12.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:42:13.504Z] 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. [2026-03-05T22:42:13.504Z] The best model improves the baseline by 14.52%. [2026-03-05T22:42:13.504Z] Top recommended movies for user id 72: [2026-03-05T22:42:13.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:42:13.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:42:13.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:42:13.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:42:13.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:42:13.504Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28801.512 ms) ====== [2026-03-05T22:42:13.504Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T22:42:13.504Z] GC before operation: completed in 252.762 ms, heap usage 566.112 MB -> 93.453 MB. [2026-03-05T22:42:17.797Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:42:22.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:42:25.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:42:30.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:42:33.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:42:35.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:42:37.072Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:42:40.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:42:40.132Z] 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. [2026-03-05T22:42:40.132Z] The best model improves the baseline by 14.52%. [2026-03-05T22:42:40.132Z] Top recommended movies for user id 72: [2026-03-05T22:42:40.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:42:40.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:42:40.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:42:40.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:42:40.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:42:40.132Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26644.612 ms) ====== [2026-03-05T22:42:40.132Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T22:42:41.095Z] GC before operation: completed in 237.974 ms, heap usage 745.870 MB -> 93.769 MB. [2026-03-05T22:42:45.291Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:42:49.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:42:53.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:42:57.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:42:59.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:43:01.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:43:03.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:43:06.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:43:06.974Z] 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. [2026-03-05T22:43:06.974Z] The best model improves the baseline by 14.52%. [2026-03-05T22:43:06.974Z] Top recommended movies for user id 72: [2026-03-05T22:43:06.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:43:06.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:43:06.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:43:06.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:43:06.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:43:06.974Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (26614.019 ms) ====== [2026-03-05T22:43:06.974Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T22:43:07.934Z] GC before operation: completed in 240.888 ms, heap usage 743.001 MB -> 93.678 MB. [2026-03-05T22:43:12.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:43:16.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:43:21.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:43:24.145Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:43:26.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:43:28.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:43:31.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:43:33.176Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:43:34.138Z] 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. [2026-03-05T22:43:34.138Z] The best model improves the baseline by 14.52%. [2026-03-05T22:43:34.138Z] Top recommended movies for user id 72: [2026-03-05T22:43:34.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:43:34.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:43:34.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:43:34.138Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:43:34.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:43:34.138Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26614.607 ms) ====== [2026-03-05T22:43:34.138Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T22:43:34.138Z] GC before operation: completed in 239.800 ms, heap usage 213.751 MB -> 89.739 MB. [2026-03-05T22:43:38.362Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:43:43.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:43:48.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:43:51.096Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:43:54.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:43:56.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:43:59.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:44:01.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:44:01.161Z] 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. [2026-03-05T22:44:01.161Z] The best model improves the baseline by 14.52%. [2026-03-05T22:44:01.161Z] Top recommended movies for user id 72: [2026-03-05T22:44:01.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T22:44:01.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T22:44:01.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T22:44:01.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T22:44:01.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T22:44:01.161Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27265.415 ms) ====== [2026-03-05T22:44:03.131Z] ----------------------------------- [2026-03-05T22:44:03.131Z] renaissance-movie-lens_0_PASSED [2026-03-05T22:44:03.131Z] ----------------------------------- [2026-03-05T22:44:03.131Z] [2026-03-05T22:44:03.131Z] TEST TEARDOWN: [2026-03-05T22:44:03.131Z] Nothing to be done for teardown. [2026-03-05T22:44:03.131Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 22:44:02 2026 Epoch Time (ms): 1772750642064