[2026-01-10T05:20:23.372Z] Running test renaissance-movie-lens_0 ... [2026-01-10T05:20:23.372Z] =============================================== [2026-01-10T05:20:23.372Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 05:20:22 2026 Epoch Time (ms): 1768022422548 [2026-01-10T05:20:23.372Z] variation: NoOptions [2026-01-10T05:20:23.372Z] JVM_OPTIONS: [2026-01-10T05:20:23.372Z] { \ [2026-01-10T05:20:23.372Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T05:20:23.372Z] echo "Nothing to be done for setup."; \ [2026-01-10T05:20:23.372Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17680201907350/renaissance-movie-lens_0"; \ [2026-01-10T05:20:23.372Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17680201907350/renaissance-movie-lens_0"; \ [2026-01-10T05:20:23.372Z] echo ""; echo "TESTING:"; \ [2026-01-10T05:20:23.372Z] "/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_17680201907350/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T05:20:23.372Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17680201907350/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T05:20:23.372Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T05:20:23.372Z] echo "Nothing to be done for teardown."; \ [2026-01-10T05:20:23.372Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17680201907350/TestTargetResult"; [2026-01-10T05:20:23.372Z] [2026-01-10T05:20:23.372Z] TEST SETUP: [2026-01-10T05:20:23.372Z] Nothing to be done for setup. [2026-01-10T05:20:23.372Z] [2026-01-10T05:20:23.372Z] TESTING: [2026-01-10T05:20:24.326Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T05:20:24.326Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17680201907350/renaissance-movie-lens_0/launcher-052022-5616020646487852012/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T05:20:24.326Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T05:20:24.326Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T05:20:31.581Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T05:20:43.172Z] 05:20:42.349 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T05:20:46.212Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T05:20:47.433Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T05:20:47.433Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T05:20:47.433Z] GC before operation: completed in 164.940 ms, heap usage 170.184 MB -> 75.784 MB. [2026-01-10T05:20:55.641Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:21:01.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:21:06.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:21:10.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:21:12.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:21:15.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:21:17.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:21:20.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:21:20.830Z] 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. [2026-01-10T05:21:20.830Z] The best model improves the baseline by 14.52%. [2026-01-10T05:21:21.789Z] Top recommended movies for user id 72: [2026-01-10T05:21:21.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:21:21.789Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:21:21.789Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:21:21.789Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:21:21.789Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:21:21.789Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34460.628 ms) ====== [2026-01-10T05:21:21.789Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T05:21:21.789Z] GC before operation: completed in 193.970 ms, heap usage 463.207 MB -> 89.812 MB. [2026-01-10T05:21:25.970Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:21:35.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:21:35.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:21:37.876Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:21:39.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:21:42.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:21:44.864Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:21:46.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:21:47.805Z] 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. [2026-01-10T05:21:47.805Z] The best model improves the baseline by 14.52%. [2026-01-10T05:21:47.805Z] Top recommended movies for user id 72: [2026-01-10T05:21:47.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:21:47.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:21:47.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:21:47.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:21:47.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:21:47.805Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26376.235 ms) ====== [2026-01-10T05:21:47.805Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T05:21:47.805Z] GC before operation: completed in 179.305 ms, heap usage 229.772 MB -> 88.485 MB. [2026-01-10T05:21:51.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:21:55.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:21:59.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:22:02.426Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:22:05.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:22:07.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:22:09.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:22:11.390Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:22:11.390Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T05:22:11.390Z] The best model improves the baseline by 14.52%. [2026-01-10T05:22:12.350Z] Top recommended movies for user id 72: [2026-01-10T05:22:12.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:22:12.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:22:12.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:22:12.350Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:22:12.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:22:12.350Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23955.056 ms) ====== [2026-01-10T05:22:12.350Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T05:22:12.350Z] GC before operation: completed in 171.659 ms, heap usage 375.753 MB -> 89.451 MB. [2026-01-10T05:22:16.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:22:19.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:22:23.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:22:26.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:22:28.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:22:30.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:22:33.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:22:35.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:22:35.484Z] 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. [2026-01-10T05:22:35.484Z] The best model improves the baseline by 14.52%. [2026-01-10T05:22:35.484Z] Top recommended movies for user id 72: [2026-01-10T05:22:35.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:22:35.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:22:35.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:22:35.484Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:22:35.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:22:35.484Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23525.447 ms) ====== [2026-01-10T05:22:35.484Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T05:22:35.484Z] GC before operation: completed in 172.738 ms, heap usage 169.226 MB -> 89.475 MB. [2026-01-10T05:22:39.667Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:22:43.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:22:46.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:22:51.097Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:22:53.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:22:55.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:22:57.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:22:59.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:22:59.141Z] 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. [2026-01-10T05:22:59.141Z] The best model improves the baseline by 14.52%. [2026-01-10T05:23:00.098Z] Top recommended movies for user id 72: [2026-01-10T05:23:00.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:23:00.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:23:00.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:23:00.098Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:23:00.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:23:00.098Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23868.607 ms) ====== [2026-01-10T05:23:00.098Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T05:23:00.098Z] GC before operation: completed in 179.701 ms, heap usage 265.871 MB -> 89.564 MB. [2026-01-10T05:23:03.142Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:23:07.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:23:11.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:23:13.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:23:16.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:23:18.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:23:20.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:23:22.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:23:22.384Z] 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. [2026-01-10T05:23:22.384Z] The best model improves the baseline by 14.52%. [2026-01-10T05:23:23.343Z] Top recommended movies for user id 72: [2026-01-10T05:23:23.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:23:23.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:23:23.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:23:23.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:23:23.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:23:23.343Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22980.181 ms) ====== [2026-01-10T05:23:23.343Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T05:23:23.343Z] GC before operation: completed in 172.158 ms, heap usage 120.205 MB -> 89.702 MB. [2026-01-10T05:23:26.390Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:23:30.581Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:23:33.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:23:36.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:23:38.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:23:39.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:23:41.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:23:43.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:23:44.501Z] 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. [2026-01-10T05:23:44.501Z] The best model improves the baseline by 14.52%. [2026-01-10T05:23:44.501Z] Top recommended movies for user id 72: [2026-01-10T05:23:44.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:23:44.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:23:44.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:23:44.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:23:44.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:23:44.501Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21212.240 ms) ====== [2026-01-10T05:23:44.501Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T05:23:44.501Z] GC before operation: completed in 191.765 ms, heap usage 117.547 MB -> 92.942 MB. [2026-01-10T05:23:48.693Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:23:50.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:23:53.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:23:56.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:23:58.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:24:00.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:24:02.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:24:05.332Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:24:05.332Z] 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. [2026-01-10T05:24:05.332Z] The best model improves the baseline by 14.52%. [2026-01-10T05:24:05.332Z] Top recommended movies for user id 72: [2026-01-10T05:24:05.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:24:05.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:24:05.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:24:05.332Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:24:05.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:24:05.332Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20266.668 ms) ====== [2026-01-10T05:24:05.332Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T05:24:05.332Z] GC before operation: completed in 190.182 ms, heap usage 257.867 MB -> 90.015 MB. [2026-01-10T05:24:08.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:24:11.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:24:14.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:24:17.503Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:24:19.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:24:21.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:24:23.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:24:25.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:24:25.440Z] 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. [2026-01-10T05:24:25.440Z] The best model improves the baseline by 14.52%. [2026-01-10T05:24:26.400Z] Top recommended movies for user id 72: [2026-01-10T05:24:26.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:24:26.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:24:26.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:24:26.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:24:26.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:24:26.400Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21055.335 ms) ====== [2026-01-10T05:24:26.400Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T05:24:26.400Z] GC before operation: completed in 163.833 ms, heap usage 146.996 MB -> 89.785 MB. [2026-01-10T05:24:29.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:24:32.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:24:36.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:24:39.716Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:24:41.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:24:43.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:24:45.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:24:47.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:24:47.601Z] 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. [2026-01-10T05:24:47.601Z] The best model improves the baseline by 14.52%. [2026-01-10T05:24:48.558Z] Top recommended movies for user id 72: [2026-01-10T05:24:48.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:24:48.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:24:48.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:24:48.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:24:48.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:24:48.558Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22093.452 ms) ====== [2026-01-10T05:24:48.558Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T05:24:48.558Z] GC before operation: completed in 172.569 ms, heap usage 360.662 MB -> 90.414 MB. [2026-01-10T05:24:51.602Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:24:55.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:24:59.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:25:02.616Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:25:03.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:25:05.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:25:08.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:25:10.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:25:10.613Z] 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. [2026-01-10T05:25:10.613Z] The best model improves the baseline by 14.52%. [2026-01-10T05:25:10.613Z] Top recommended movies for user id 72: [2026-01-10T05:25:10.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:25:10.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:25:10.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:25:10.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:25:10.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:25:10.613Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22491.103 ms) ====== [2026-01-10T05:25:10.613Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T05:25:11.573Z] GC before operation: completed in 177.279 ms, heap usage 180.434 MB -> 89.881 MB. [2026-01-10T05:25:14.606Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:25:17.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:25:20.689Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:25:23.733Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:25:25.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:25:26.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:25:29.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:25:30.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:25:31.641Z] 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. [2026-01-10T05:25:31.641Z] The best model improves the baseline by 14.52%. [2026-01-10T05:25:31.641Z] Top recommended movies for user id 72: [2026-01-10T05:25:31.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:25:31.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:25:31.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:25:31.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:25:31.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:25:31.641Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20629.364 ms) ====== [2026-01-10T05:25:31.641Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T05:25:31.641Z] GC before operation: completed in 178.572 ms, heap usage 378.763 MB -> 90.277 MB. [2026-01-10T05:25:35.824Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:25:38.867Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:25:41.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:25:44.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:25:46.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:25:49.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:25:52.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:25:53.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:25:54.570Z] 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. [2026-01-10T05:25:54.570Z] The best model improves the baseline by 14.52%. [2026-01-10T05:25:54.570Z] Top recommended movies for user id 72: [2026-01-10T05:25:54.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:25:54.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:25:54.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:25:54.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:25:54.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:25:54.570Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22523.934 ms) ====== [2026-01-10T05:25:54.570Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T05:25:54.570Z] GC before operation: completed in 174.520 ms, heap usage 187.457 MB -> 90.218 MB. [2026-01-10T05:25:58.759Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:26:01.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:26:05.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:26:08.051Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:26:10.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:26:11.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:26:13.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:26:15.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:26:15.939Z] 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. [2026-01-10T05:26:15.939Z] The best model improves the baseline by 14.52%. [2026-01-10T05:26:16.896Z] Top recommended movies for user id 72: [2026-01-10T05:26:16.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:26:16.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:26:16.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:26:16.897Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:26:16.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:26:16.897Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21911.048 ms) ====== [2026-01-10T05:26:16.897Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T05:26:16.897Z] GC before operation: completed in 171.798 ms, heap usage 200.910 MB -> 89.964 MB. [2026-01-10T05:26:19.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:26:22.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:26:26.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:26:29.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:26:31.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:26:32.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:26:35.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:26:37.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:26:37.009Z] 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. [2026-01-10T05:26:37.009Z] The best model improves the baseline by 14.52%. [2026-01-10T05:26:37.009Z] Top recommended movies for user id 72: [2026-01-10T05:26:37.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:26:37.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:26:37.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:26:37.009Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:26:37.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:26:37.009Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20479.300 ms) ====== [2026-01-10T05:26:37.009Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T05:26:37.009Z] GC before operation: completed in 173.543 ms, heap usage 266.850 MB -> 90.285 MB. [2026-01-10T05:26:41.191Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:26:43.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:26:46.944Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:26:51.128Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:26:53.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:26:54.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:26:57.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:26:58.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:26:59.160Z] 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. [2026-01-10T05:26:59.160Z] The best model improves the baseline by 14.52%. [2026-01-10T05:26:59.160Z] Top recommended movies for user id 72: [2026-01-10T05:26:59.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:26:59.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:26:59.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:26:59.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:26:59.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:26:59.160Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21680.669 ms) ====== [2026-01-10T05:26:59.160Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T05:26:59.160Z] GC before operation: completed in 180.794 ms, heap usage 378.639 MB -> 90.333 MB. [2026-01-10T05:27:02.201Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:27:06.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:27:09.415Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:27:12.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:27:14.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:27:16.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:27:18.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:27:20.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:27:20.466Z] 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. [2026-01-10T05:27:20.466Z] The best model improves the baseline by 14.52%. [2026-01-10T05:27:20.466Z] Top recommended movies for user id 72: [2026-01-10T05:27:20.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:27:20.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:27:20.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:27:20.466Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:27:20.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:27:20.466Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21599.315 ms) ====== [2026-01-10T05:27:20.466Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T05:27:21.425Z] GC before operation: completed in 178.631 ms, heap usage 380.511 MB -> 90.394 MB. [2026-01-10T05:27:24.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:27:27.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:27:31.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:27:34.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:27:36.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:27:38.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:27:40.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:27:43.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:27:43.395Z] 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. [2026-01-10T05:27:43.395Z] The best model improves the baseline by 14.52%. [2026-01-10T05:27:43.395Z] Top recommended movies for user id 72: [2026-01-10T05:27:43.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:27:43.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:27:43.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:27:43.395Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:27:43.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:27:43.395Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22659.361 ms) ====== [2026-01-10T05:27:43.395Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T05:27:44.353Z] GC before operation: completed in 177.914 ms, heap usage 184.126 MB -> 89.960 MB. [2026-01-10T05:27:47.395Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:27:50.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:27:53.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:27:56.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:27:57.522Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:27:59.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:28:01.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:28:03.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:28:03.488Z] 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. [2026-01-10T05:28:03.488Z] The best model improves the baseline by 14.52%. [2026-01-10T05:28:03.488Z] Top recommended movies for user id 72: [2026-01-10T05:28:03.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:28:03.488Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:28:03.488Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:28:03.488Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:28:03.488Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:28:03.488Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19854.184 ms) ====== [2026-01-10T05:28:03.488Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T05:28:03.488Z] GC before operation: completed in 181.532 ms, heap usage 261.816 MB -> 90.212 MB. [2026-01-10T05:28:07.677Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:28:10.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:28:13.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:28:17.001Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:28:18.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:28:20.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:28:22.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:28:24.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:28:24.894Z] 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. [2026-01-10T05:28:24.894Z] The best model improves the baseline by 14.52%. [2026-01-10T05:28:25.864Z] Top recommended movies for user id 72: [2026-01-10T05:28:25.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T05:28:25.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T05:28:25.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T05:28:25.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T05:28:25.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T05:28:25.864Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21522.085 ms) ====== [2026-01-10T05:28:26.829Z] ----------------------------------- [2026-01-10T05:28:26.829Z] renaissance-movie-lens_0_PASSED [2026-01-10T05:28:26.829Z] ----------------------------------- [2026-01-10T05:28:26.829Z] [2026-01-10T05:28:26.829Z] TEST TEARDOWN: [2026-01-10T05:28:26.829Z] Nothing to be done for teardown. [2026-01-10T05:28:26.829Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 05:28:26 2026 Epoch Time (ms): 1768022906118