[2026-01-14T14:02:27.653Z] Running test renaissance-movie-lens_0 ... [2026-01-14T14:02:27.653Z] =============================================== [2026-01-14T14:02:27.653Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 14:02:27 2026 Epoch Time (ms): 1768399347346 [2026-01-14T14:02:27.653Z] variation: NoOptions [2026-01-14T14:02:27.653Z] JVM_OPTIONS: [2026-01-14T14:02:27.653Z] { \ [2026-01-14T14:02:27.653Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T14:02:27.653Z] echo "Nothing to be done for setup."; \ [2026-01-14T14:02:27.653Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683975397940/renaissance-movie-lens_0"; \ [2026-01-14T14:02:27.653Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683975397940/renaissance-movie-lens_0"; \ [2026-01-14T14:02:27.653Z] echo ""; echo "TESTING:"; \ [2026-01-14T14:02:27.653Z] "/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_17683975397940/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T14:02:27.653Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683975397940/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T14:02:27.653Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T14:02:27.653Z] echo "Nothing to be done for teardown."; \ [2026-01-14T14:02:27.653Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17683975397940/TestTargetResult"; [2026-01-14T14:02:27.653Z] [2026-01-14T14:02:27.653Z] TEST SETUP: [2026-01-14T14:02:27.653Z] Nothing to be done for setup. [2026-01-14T14:02:27.653Z] [2026-01-14T14:02:27.653Z] TESTING: [2026-01-14T14:02:28.421Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-14T14:02:28.421Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17683975397940/renaissance-movie-lens_0/launcher-140227-2556614805011780722/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-14T14:02:28.421Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-14T14:02:28.421Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-14T14:02:36.005Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T14:02:45.287Z] 14:02:44.804 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-14T14:02:47.749Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T14:02:48.544Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T14:02:48.544Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T14:02:48.942Z] GC before operation: completed in 144.583 ms, heap usage 177.662 MB -> 75.613 MB. [2026-01-14T14:02:56.736Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:03:00.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:03:06.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:03:10.048Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:03:11.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:03:13.878Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:03:16.313Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:03:18.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:03:18.509Z] 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. [2026-01-14T14:03:18.509Z] The best model improves the baseline by 14.52%. [2026-01-14T14:03:18.896Z] Top recommended movies for user id 72: [2026-01-14T14:03:18.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:03:18.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:03:18.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:03:18.896Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:03:18.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:03:18.896Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30198.838 ms) ====== [2026-01-14T14:03:18.896Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T14:03:19.257Z] GC before operation: completed in 170.538 ms, heap usage 227.919 MB -> 88.211 MB. [2026-01-14T14:03:23.267Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:03:26.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:03:30.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:03:33.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:03:35.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:03:38.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:03:40.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:03:42.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:03:42.774Z] 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. [2026-01-14T14:03:42.774Z] The best model improves the baseline by 14.52%. [2026-01-14T14:03:43.151Z] Top recommended movies for user id 72: [2026-01-14T14:03:43.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:03:43.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:03:43.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:03:43.151Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:03:43.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:03:43.151Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23843.847 ms) ====== [2026-01-14T14:03:43.151Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T14:03:43.151Z] GC before operation: completed in 142.583 ms, heap usage 122.501 MB -> 88.298 MB. [2026-01-14T14:03:46.387Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:03:49.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:03:52.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:03:55.967Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:03:57.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:03:59.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:04:01.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:04:03.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:04:03.636Z] 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. [2026-01-14T14:04:03.636Z] The best model improves the baseline by 14.52%. [2026-01-14T14:04:03.636Z] Top recommended movies for user id 72: [2026-01-14T14:04:03.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:04:03.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:04:03.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:04:03.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:04:03.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:04:03.636Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20647.742 ms) ====== [2026-01-14T14:04:03.636Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T14:04:03.999Z] GC before operation: completed in 149.921 ms, heap usage 523.431 MB -> 89.465 MB. [2026-01-14T14:04:07.184Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:04:10.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:04:12.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:04:16.050Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:04:17.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:04:19.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:04:21.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:04:24.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:04:24.004Z] 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. [2026-01-14T14:04:24.004Z] The best model improves the baseline by 14.52%. [2026-01-14T14:04:24.381Z] Top recommended movies for user id 72: [2026-01-14T14:04:24.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:04:24.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:04:24.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:04:24.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:04:24.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:04:24.381Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20273.345 ms) ====== [2026-01-14T14:04:24.381Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T14:04:24.381Z] GC before operation: completed in 153.405 ms, heap usage 157.658 MB -> 92.955 MB. [2026-01-14T14:04:27.562Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:04:30.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:04:34.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:04:38.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:04:39.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:04:41.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:04:43.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:04:45.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:04:45.985Z] 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. [2026-01-14T14:04:45.985Z] The best model improves the baseline by 14.52%. [2026-01-14T14:04:45.985Z] Top recommended movies for user id 72: [2026-01-14T14:04:45.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:04:45.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:04:45.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:04:45.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:04:45.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:04:45.985Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21701.727 ms) ====== [2026-01-14T14:04:45.985Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T14:04:46.359Z] GC before operation: completed in 158.435 ms, heap usage 421.450 MB -> 89.540 MB. [2026-01-14T14:04:49.587Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:04:52.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:04:55.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:04:59.128Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:05:00.950Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:05:02.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:05:05.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:05:07.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:05:07.079Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T14:05:07.079Z] The best model improves the baseline by 14.52%. [2026-01-14T14:05:07.459Z] Top recommended movies for user id 72: [2026-01-14T14:05:07.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:05:07.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:05:07.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:05:07.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:05:07.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:05:07.460Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21054.612 ms) ====== [2026-01-14T14:05:07.460Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T14:05:07.460Z] GC before operation: completed in 153.048 ms, heap usage 412.630 MB -> 89.824 MB. [2026-01-14T14:05:10.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:05:13.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:05:16.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:05:18.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:05:20.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:05:22.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:05:24.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:05:25.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:05:25.967Z] 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. [2026-01-14T14:05:25.967Z] The best model improves the baseline by 14.52%. [2026-01-14T14:05:25.967Z] Top recommended movies for user id 72: [2026-01-14T14:05:25.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:05:25.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:05:25.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:05:25.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:05:25.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:05:25.967Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18704.426 ms) ====== [2026-01-14T14:05:25.967Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T14:05:26.328Z] GC before operation: completed in 147.978 ms, heap usage 438.024 MB -> 89.904 MB. [2026-01-14T14:05:29.519Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:05:32.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:05:35.209Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:05:37.643Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:05:39.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:05:41.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:05:43.051Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:05:44.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:05:44.971Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T14:05:44.971Z] The best model improves the baseline by 14.52%. [2026-01-14T14:05:44.971Z] Top recommended movies for user id 72: [2026-01-14T14:05:44.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:05:44.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:05:44.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:05:44.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:05:44.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:05:44.971Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18839.051 ms) ====== [2026-01-14T14:05:44.971Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T14:05:45.455Z] GC before operation: completed in 154.733 ms, heap usage 213.932 MB -> 89.746 MB. [2026-01-14T14:05:47.869Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:05:51.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:05:53.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:05:56.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:05:57.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:05:59.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:06:01.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:06:03.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:06:03.398Z] 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. [2026-01-14T14:06:03.398Z] The best model improves the baseline by 14.52%. [2026-01-14T14:06:03.755Z] Top recommended movies for user id 72: [2026-01-14T14:06:03.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:06:03.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:06:03.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:06:03.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:06:03.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:06:03.755Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18426.555 ms) ====== [2026-01-14T14:06:03.755Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T14:06:03.755Z] GC before operation: completed in 151.821 ms, heap usage 400.320 MB -> 89.911 MB. [2026-01-14T14:06:06.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:06:10.108Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:06:13.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:06:16.498Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:06:18.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:06:20.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:06:22.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:06:23.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:06:23.886Z] 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. [2026-01-14T14:06:23.886Z] The best model improves the baseline by 14.52%. [2026-01-14T14:06:24.279Z] Top recommended movies for user id 72: [2026-01-14T14:06:24.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:06:24.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:06:24.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:06:24.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:06:24.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:06:24.279Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20267.956 ms) ====== [2026-01-14T14:06:24.279Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T14:06:24.279Z] GC before operation: completed in 153.736 ms, heap usage 291.418 MB -> 90.069 MB. [2026-01-14T14:06:27.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:06:29.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:06:33.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:06:35.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:06:37.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:06:39.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:06:40.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:06:42.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:06:43.222Z] 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. [2026-01-14T14:06:43.222Z] The best model improves the baseline by 14.52%. [2026-01-14T14:06:43.222Z] Top recommended movies for user id 72: [2026-01-14T14:06:43.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:06:43.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:06:43.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:06:43.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:06:43.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:06:43.222Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19002.840 ms) ====== [2026-01-14T14:06:43.222Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T14:06:43.584Z] GC before operation: completed in 147.962 ms, heap usage 231.010 MB -> 89.618 MB. [2026-01-14T14:06:46.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:06:49.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:06:52.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:06:54.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:06:56.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:06:58.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:07:00.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:07:02.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:07:02.634Z] 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. [2026-01-14T14:07:02.634Z] The best model improves the baseline by 14.52%. [2026-01-14T14:07:02.993Z] Top recommended movies for user id 72: [2026-01-14T14:07:02.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:07:02.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:07:02.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:07:02.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:07:02.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:07:02.993Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19512.933 ms) ====== [2026-01-14T14:07:02.993Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T14:07:02.993Z] GC before operation: completed in 142.842 ms, heap usage 108.083 MB -> 89.748 MB. [2026-01-14T14:07:06.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:07:09.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:07:12.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:07:15.199Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:07:17.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:07:18.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:07:20.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:07:22.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:07:22.836Z] 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. [2026-01-14T14:07:22.836Z] The best model improves the baseline by 14.52%. [2026-01-14T14:07:23.193Z] Top recommended movies for user id 72: [2026-01-14T14:07:23.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:07:23.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:07:23.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:07:23.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:07:23.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:07:23.193Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20113.186 ms) ====== [2026-01-14T14:07:23.193Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T14:07:23.193Z] GC before operation: completed in 146.217 ms, heap usage 247.008 MB -> 89.979 MB. [2026-01-14T14:07:26.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:07:29.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:07:31.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:07:35.217Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:07:37.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:07:38.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:07:40.819Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:07:42.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:07:42.498Z] 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. [2026-01-14T14:07:42.498Z] The best model improves the baseline by 14.52%. [2026-01-14T14:07:42.875Z] Top recommended movies for user id 72: [2026-01-14T14:07:42.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:07:42.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:07:42.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:07:42.875Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:07:42.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:07:42.875Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19410.878 ms) ====== [2026-01-14T14:07:42.875Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T14:07:42.875Z] GC before operation: completed in 156.898 ms, heap usage 372.496 MB -> 89.951 MB. [2026-01-14T14:07:46.023Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:07:49.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:07:51.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:07:54.932Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:07:57.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:07:58.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:08:00.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:08:02.940Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:08:02.940Z] 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. [2026-01-14T14:08:02.940Z] The best model improves the baseline by 14.52%. [2026-01-14T14:08:02.940Z] Top recommended movies for user id 72: [2026-01-14T14:08:02.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:08:02.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:08:02.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:08:02.940Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:08:02.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:08:02.940Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20079.141 ms) ====== [2026-01-14T14:08:02.940Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T14:08:03.298Z] GC before operation: completed in 151.442 ms, heap usage 98.715 MB -> 89.786 MB. [2026-01-14T14:08:06.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:08:08.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:08:11.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:08:14.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:08:15.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:08:17.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:08:19.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:08:21.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:08:21.227Z] 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. [2026-01-14T14:08:21.227Z] The best model improves the baseline by 14.52%. [2026-01-14T14:08:21.634Z] Top recommended movies for user id 72: [2026-01-14T14:08:21.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:08:21.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:08:21.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:08:21.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:08:21.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:08:21.634Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18342.850 ms) ====== [2026-01-14T14:08:21.634Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T14:08:21.634Z] GC before operation: completed in 154.365 ms, heap usage 248.746 MB -> 89.862 MB. [2026-01-14T14:08:24.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:08:27.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:08:30.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:08:33.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:08:34.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:08:36.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:08:37.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:08:39.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:08:39.717Z] 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. [2026-01-14T14:08:39.717Z] The best model improves the baseline by 14.52%. [2026-01-14T14:08:39.717Z] Top recommended movies for user id 72: [2026-01-14T14:08:39.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:08:39.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:08:39.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:08:39.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:08:39.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:08:39.717Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18229.690 ms) ====== [2026-01-14T14:08:39.717Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T14:08:40.094Z] GC before operation: completed in 151.238 ms, heap usage 534.238 MB -> 90.398 MB. [2026-01-14T14:08:43.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:08:45.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:08:48.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:08:51.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:08:52.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:08:54.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:08:56.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:08:57.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:08:57.997Z] 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. [2026-01-14T14:08:57.997Z] The best model improves the baseline by 14.52%. [2026-01-14T14:08:58.417Z] Top recommended movies for user id 72: [2026-01-14T14:08:58.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:08:58.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:08:58.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:08:58.417Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:08:58.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:08:58.417Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18172.835 ms) ====== [2026-01-14T14:08:58.417Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T14:08:58.417Z] GC before operation: completed in 147.217 ms, heap usage 110.358 MB -> 89.944 MB. [2026-01-14T14:09:01.589Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:09:04.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:09:06.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:09:09.020Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:09:10.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:09:12.631Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:09:14.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:09:16.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:09:16.388Z] 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. [2026-01-14T14:09:16.388Z] The best model improves the baseline by 14.52%. [2026-01-14T14:09:16.747Z] Top recommended movies for user id 72: [2026-01-14T14:09:16.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:09:16.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:09:16.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:09:16.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:09:16.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:09:16.747Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18332.002 ms) ====== [2026-01-14T14:09:16.747Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T14:09:16.747Z] GC before operation: completed in 147.690 ms, heap usage 132.947 MB -> 93.612 MB. [2026-01-14T14:09:19.944Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T14:09:23.106Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T14:09:25.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T14:09:28.772Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T14:09:30.618Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T14:09:32.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T14:09:34.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T14:09:36.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T14:09:36.199Z] 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. [2026-01-14T14:09:36.199Z] The best model improves the baseline by 14.52%. [2026-01-14T14:09:36.564Z] Top recommended movies for user id 72: [2026-01-14T14:09:36.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T14:09:36.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T14:09:36.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T14:09:36.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T14:09:36.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T14:09:36.564Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19640.401 ms) ====== [2026-01-14T14:09:37.335Z] ----------------------------------- [2026-01-14T14:09:37.335Z] renaissance-movie-lens_0_PASSED [2026-01-14T14:09:37.335Z] ----------------------------------- [2026-01-14T14:09:37.335Z] [2026-01-14T14:09:37.335Z] TEST TEARDOWN: [2026-01-14T14:09:37.335Z] Nothing to be done for teardown. [2026-01-14T14:09:37.335Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 14:09:36 2026 Epoch Time (ms): 1768399776931