[2026-01-03T13:24:56.200Z] Running test renaissance-movie-lens_0 ... [2026-01-03T13:24:56.200Z] =============================================== [2026-01-03T13:24:56.200Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 13:24:56 2026 Epoch Time (ms): 1767446696014 [2026-01-03T13:24:56.200Z] variation: NoOptions [2026-01-03T13:24:56.200Z] JVM_OPTIONS: [2026-01-03T13:24:56.200Z] { \ [2026-01-03T13:24:56.200Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T13:24:56.200Z] echo "Nothing to be done for setup."; \ [2026-01-03T13:24:56.200Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674449591549/renaissance-movie-lens_0"; \ [2026-01-03T13:24:56.200Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674449591549/renaissance-movie-lens_0"; \ [2026-01-03T13:24:56.200Z] echo ""; echo "TESTING:"; \ [2026-01-03T13:24:56.200Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674449591549/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T13:24:56.200Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674449591549/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T13:24:56.200Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T13:24:56.200Z] echo "Nothing to be done for teardown."; \ [2026-01-03T13:24:56.200Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17674449591549/TestTargetResult"; [2026-01-03T13:24:56.200Z] [2026-01-03T13:24:56.200Z] TEST SETUP: [2026-01-03T13:24:56.200Z] Nothing to be done for setup. [2026-01-03T13:24:56.200Z] [2026-01-03T13:24:56.200Z] TESTING: [2026-01-03T13:24:57.165Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T13:24:57.165Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17674449591549/renaissance-movie-lens_0/launcher-132456-1064559954371029151/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T13:24:57.165Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T13:24:57.165Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T13:25:06.945Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-03T13:25:20.523Z] 13:25:19.533 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-03T13:25:22.625Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T13:25:23.592Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T13:25:23.592Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T13:25:23.592Z] GC before operation: completed in 263.888 ms, heap usage 141.287 MB -> 75.858 MB. [2026-01-03T13:25:34.276Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:25:39.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:25:45.314Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:25:50.744Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:25:53.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:25:55.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:25:58.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:26:02.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:26:02.000Z] 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. [2026-01-03T13:26:02.985Z] The best model improves the baseline by 14.52%. [2026-01-03T13:26:02.985Z] Top recommended movies for user id 72: [2026-01-03T13:26:02.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:26:02.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:26:02.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:26:02.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:26:02.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:26:02.985Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38887.577 ms) ====== [2026-01-03T13:26:02.985Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T13:26:02.985Z] GC before operation: completed in 204.688 ms, heap usage 119.569 MB -> 86.251 MB. [2026-01-03T13:26:07.435Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:26:11.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:26:17.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:26:20.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:26:23.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:26:25.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:26:28.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:26:30.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:26:31.715Z] 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. [2026-01-03T13:26:31.715Z] The best model improves the baseline by 14.52%. [2026-01-03T13:26:31.715Z] Top recommended movies for user id 72: [2026-01-03T13:26:31.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:26:31.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:26:31.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:26:31.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:26:31.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:26:31.715Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28856.954 ms) ====== [2026-01-03T13:26:31.715Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T13:26:32.678Z] GC before operation: completed in 171.531 ms, heap usage 284.455 MB -> 88.663 MB. [2026-01-03T13:26:35.714Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:26:39.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:26:44.786Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:26:46.751Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:26:49.971Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:26:52.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:26:54.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:26:57.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:26:57.153Z] 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. [2026-01-03T13:26:57.153Z] The best model improves the baseline by 14.52%. [2026-01-03T13:26:57.153Z] Top recommended movies for user id 72: [2026-01-03T13:26:57.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:26:57.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:26:57.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:26:57.153Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:26:57.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:26:57.153Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25191.841 ms) ====== [2026-01-03T13:26:57.153Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T13:26:57.153Z] GC before operation: completed in 200.269 ms, heap usage 429.266 MB -> 89.575 MB. [2026-01-03T13:27:01.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:27:04.542Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:27:08.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:27:12.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:27:14.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:27:16.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:27:20.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:27:22.120Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:27:23.077Z] 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. [2026-01-03T13:27:23.077Z] The best model improves the baseline by 14.52%. [2026-01-03T13:27:23.077Z] Top recommended movies for user id 72: [2026-01-03T13:27:23.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:27:23.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:27:23.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:27:23.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:27:23.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:27:23.077Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25698.672 ms) ====== [2026-01-03T13:27:23.077Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T13:27:23.077Z] GC before operation: completed in 238.827 ms, heap usage 413.525 MB -> 89.922 MB. [2026-01-03T13:27:27.475Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:27:30.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:27:34.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:27:37.885Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:27:39.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:27:42.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:27:44.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:27:46.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:27:46.820Z] 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. [2026-01-03T13:27:46.820Z] The best model improves the baseline by 14.52%. [2026-01-03T13:27:47.778Z] Top recommended movies for user id 72: [2026-01-03T13:27:47.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:27:47.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:27:47.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:27:47.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:27:47.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:27:47.778Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23841.164 ms) ====== [2026-01-03T13:27:47.778Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T13:27:47.778Z] GC before operation: completed in 165.985 ms, heap usage 124.017 MB -> 89.523 MB. [2026-01-03T13:27:50.995Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:27:54.750Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:27:57.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:28:02.020Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:28:02.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:28:04.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:28:08.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:28:09.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:28:09.988Z] 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. [2026-01-03T13:28:09.988Z] The best model improves the baseline by 14.52%. [2026-01-03T13:28:09.988Z] Top recommended movies for user id 72: [2026-01-03T13:28:09.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:28:09.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:28:09.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:28:09.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:28:09.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:28:09.988Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22841.734 ms) ====== [2026-01-03T13:28:09.988Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T13:28:10.948Z] GC before operation: completed in 197.653 ms, heap usage 281.424 MB -> 89.960 MB. [2026-01-03T13:28:13.993Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:28:17.024Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:28:20.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:28:23.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:28:25.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:28:27.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:28:29.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:28:31.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:28:31.238Z] 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. [2026-01-03T13:28:31.238Z] The best model improves the baseline by 14.52%. [2026-01-03T13:28:31.238Z] Top recommended movies for user id 72: [2026-01-03T13:28:31.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:28:31.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:28:31.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:28:31.238Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:28:31.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:28:31.238Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21155.480 ms) ====== [2026-01-03T13:28:31.238Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T13:28:32.196Z] GC before operation: completed in 192.539 ms, heap usage 260.057 MB -> 89.857 MB. [2026-01-03T13:28:35.314Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:28:38.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:28:42.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:28:45.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:28:47.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:28:49.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:28:51.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:28:53.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:28:54.535Z] 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. [2026-01-03T13:28:54.535Z] The best model improves the baseline by 14.52%. [2026-01-03T13:28:54.535Z] Top recommended movies for user id 72: [2026-01-03T13:28:54.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:28:54.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:28:54.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:28:54.535Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:28:54.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:28:54.535Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22667.467 ms) ====== [2026-01-03T13:28:54.535Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T13:28:54.535Z] GC before operation: completed in 181.058 ms, heap usage 127.740 MB -> 89.965 MB. [2026-01-03T13:28:58.298Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:29:01.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:29:04.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:29:08.580Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:29:10.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:29:12.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:29:14.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:29:16.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:29:16.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-03T13:29:16.527Z] The best model improves the baseline by 14.52%. [2026-01-03T13:29:17.507Z] Top recommended movies for user id 72: [2026-01-03T13:29:17.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:29:17.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:29:17.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:29:17.507Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:29:17.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:29:17.507Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22446.511 ms) ====== [2026-01-03T13:29:17.507Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T13:29:17.507Z] GC before operation: completed in 382.978 ms, heap usage 367.883 MB -> 90.214 MB. [2026-01-03T13:29:21.688Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:29:24.732Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:29:27.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:29:31.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:29:33.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:29:35.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:29:36.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:29:38.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:29:39.906Z] 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. [2026-01-03T13:29:39.906Z] The best model improves the baseline by 14.52%. [2026-01-03T13:29:39.906Z] Top recommended movies for user id 72: [2026-01-03T13:29:39.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:29:39.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:29:39.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:29:39.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:29:39.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:29:39.906Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22416.580 ms) ====== [2026-01-03T13:29:39.906Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T13:29:39.906Z] GC before operation: completed in 256.255 ms, heap usage 124.153 MB -> 92.079 MB. [2026-01-03T13:29:44.076Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:29:47.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:29:50.194Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:29:53.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:29:55.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:29:57.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:29:59.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:30:01.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:30:02.322Z] 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. [2026-01-03T13:30:02.322Z] The best model improves the baseline by 14.52%. [2026-01-03T13:30:02.322Z] Top recommended movies for user id 72: [2026-01-03T13:30:02.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:30:02.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:30:02.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:30:02.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:30:02.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:30:02.322Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22180.811 ms) ====== [2026-01-03T13:30:02.322Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T13:30:02.322Z] GC before operation: completed in 182.484 ms, heap usage 104.238 MB -> 90.031 MB. [2026-01-03T13:30:07.254Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:30:09.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:30:12.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:30:15.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:30:17.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:30:19.266Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:30:21.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:30:23.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:30:24.206Z] 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. [2026-01-03T13:30:24.206Z] The best model improves the baseline by 14.52%. [2026-01-03T13:30:24.206Z] Top recommended movies for user id 72: [2026-01-03T13:30:24.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:30:24.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:30:24.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:30:24.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:30:24.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:30:24.206Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21665.417 ms) ====== [2026-01-03T13:30:24.206Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T13:30:24.206Z] GC before operation: completed in 262.237 ms, heap usage 102.549 MB -> 90.102 MB. [2026-01-03T13:30:28.382Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:30:31.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:30:34.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:30:37.491Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:30:39.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:30:41.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:30:43.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:30:45.362Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:30:46.318Z] 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. [2026-01-03T13:30:46.318Z] The best model improves the baseline by 14.52%. [2026-01-03T13:30:46.318Z] Top recommended movies for user id 72: [2026-01-03T13:30:46.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:30:46.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:30:46.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:30:46.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:30:46.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:30:46.318Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21758.943 ms) ====== [2026-01-03T13:30:46.318Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T13:30:46.318Z] GC before operation: completed in 205.883 ms, heap usage 426.372 MB -> 90.599 MB. [2026-01-03T13:30:49.393Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:30:52.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:30:55.583Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:30:58.640Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:31:01.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:31:03.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:31:05.634Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:31:07.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:31:07.792Z] 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. [2026-01-03T13:31:07.792Z] The best model improves the baseline by 14.52%. [2026-01-03T13:31:07.792Z] Top recommended movies for user id 72: [2026-01-03T13:31:07.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:31:07.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:31:07.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:31:07.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:31:07.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:31:07.792Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21510.238 ms) ====== [2026-01-03T13:31:07.792Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T13:31:08.749Z] GC before operation: completed in 257.591 ms, heap usage 100.410 MB -> 90.270 MB. [2026-01-03T13:31:11.793Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:31:14.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:31:18.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:31:21.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:31:23.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:31:25.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:31:27.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:31:29.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:31:29.451Z] 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. [2026-01-03T13:31:29.451Z] The best model improves the baseline by 14.52%. [2026-01-03T13:31:29.451Z] Top recommended movies for user id 72: [2026-01-03T13:31:29.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:31:29.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:31:29.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:31:29.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:31:29.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:31:29.451Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21463.898 ms) ====== [2026-01-03T13:31:29.451Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T13:31:29.451Z] GC before operation: completed in 187.500 ms, heap usage 447.080 MB -> 90.622 MB. [2026-01-03T13:31:33.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:31:36.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:31:38.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:31:41.766Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:31:43.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:31:45.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:31:47.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:31:49.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:31:50.713Z] 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. [2026-01-03T13:31:50.713Z] The best model improves the baseline by 14.52%. [2026-01-03T13:31:50.713Z] Top recommended movies for user id 72: [2026-01-03T13:31:50.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:31:50.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:31:50.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:31:50.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:31:50.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:31:50.713Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20982.269 ms) ====== [2026-01-03T13:31:50.713Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T13:31:50.713Z] GC before operation: completed in 258.320 ms, heap usage 292.883 MB -> 90.286 MB. [2026-01-03T13:31:54.889Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:31:57.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:32:00.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:32:04.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:32:05.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:32:07.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:32:09.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:32:11.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:32:12.869Z] 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. [2026-01-03T13:32:12.869Z] The best model improves the baseline by 14.52%. [2026-01-03T13:32:12.869Z] Top recommended movies for user id 72: [2026-01-03T13:32:12.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:32:12.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:32:12.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:32:12.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:32:12.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:32:12.869Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21714.177 ms) ====== [2026-01-03T13:32:12.869Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T13:32:12.869Z] GC before operation: completed in 282.235 ms, heap usage 411.537 MB -> 90.505 MB. [2026-01-03T13:32:17.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:32:19.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:32:22.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:32:25.971Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:32:29.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:32:31.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:32:33.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:32:35.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:32:35.007Z] 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. [2026-01-03T13:32:35.007Z] The best model improves the baseline by 14.52%. [2026-01-03T13:32:35.964Z] Top recommended movies for user id 72: [2026-01-03T13:32:35.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:32:35.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:32:35.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:32:35.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:32:35.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:32:35.964Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22465.064 ms) ====== [2026-01-03T13:32:35.964Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T13:32:35.964Z] GC before operation: completed in 416.206 ms, heap usage 243.308 MB -> 90.095 MB. [2026-01-03T13:32:38.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:32:43.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:32:46.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:32:49.260Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:32:51.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:32:53.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:32:56.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:32:58.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:32:58.217Z] 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. [2026-01-03T13:32:58.217Z] The best model improves the baseline by 14.52%. [2026-01-03T13:32:58.217Z] Top recommended movies for user id 72: [2026-01-03T13:32:58.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:32:58.217Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:32:58.217Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:32:58.217Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:32:58.217Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:32:58.217Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22444.386 ms) ====== [2026-01-03T13:32:58.217Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T13:32:59.215Z] GC before operation: completed in 259.326 ms, heap usage 380.784 MB -> 90.415 MB. [2026-01-03T13:33:02.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:33:05.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:33:08.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:33:12.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:33:14.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:33:16.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:33:18.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:33:20.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:33:20.507Z] 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. [2026-01-03T13:33:20.507Z] The best model improves the baseline by 14.52%. [2026-01-03T13:33:21.460Z] Top recommended movies for user id 72: [2026-01-03T13:33:21.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-03T13:33:21.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-03T13:33:21.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-03T13:33:21.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-03T13:33:21.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-03T13:33:21.460Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22378.027 ms) ====== [2026-01-03T13:33:22.413Z] ----------------------------------- [2026-01-03T13:33:22.413Z] renaissance-movie-lens_0_PASSED [2026-01-03T13:33:22.413Z] ----------------------------------- [2026-01-03T13:33:22.413Z] [2026-01-03T13:33:22.413Z] TEST TEARDOWN: [2026-01-03T13:33:22.413Z] Nothing to be done for teardown. [2026-01-03T13:33:22.413Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 13:33:21 2026 Epoch Time (ms): 1767447201879