[2026-03-06T01:13:57.348Z] Running test renaissance-movie-lens_0 ... [2026-03-06T01:13:57.348Z] =============================================== [2026-03-06T01:13:57.348Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 01:13:56 2026 Epoch Time (ms): 1772759636455 [2026-03-06T01:13:57.348Z] variation: NoOptions [2026-03-06T01:13:57.348Z] JVM_OPTIONS: [2026-03-06T01:13:57.348Z] { \ [2026-03-06T01:13:57.348Z] echo ""; echo "TEST SETUP:"; \ [2026-03-06T01:13:57.348Z] echo "Nothing to be done for setup."; \ [2026-03-06T01:13:57.348Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727587853288/renaissance-movie-lens_0"; \ [2026-03-06T01:13:57.348Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727587853288/renaissance-movie-lens_0"; \ [2026-03-06T01:13:57.348Z] echo ""; echo "TESTING:"; \ [2026-03-06T01:13:57.348Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727587853288/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-06T01:13:57.348Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727587853288/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-06T01:13:57.348Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-06T01:13:57.348Z] echo "Nothing to be done for teardown."; \ [2026-03-06T01:13:57.348Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17727587853288/TestTargetResult"; [2026-03-06T01:13:57.348Z] [2026-03-06T01:13:57.348Z] TEST SETUP: [2026-03-06T01:13:57.348Z] Nothing to be done for setup. [2026-03-06T01:13:57.348Z] [2026-03-06T01:13:57.348Z] TESTING: [2026-03-06T01:13:57.348Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-06T01:13:57.348Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17727587853288/renaissance-movie-lens_0/launcher-011356-2731831152041553393/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-06T01:13:57.348Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-06T01:13:57.348Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-06T01:14:02.732Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-06T01:14:08.177Z] 01:14:07.983 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-06T01:14:11.202Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-06T01:14:11.202Z] Training: 60056, validation: 20285, test: 19854 [2026-03-06T01:14:11.202Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-06T01:14:11.202Z] GC before operation: completed in 165.199 ms, heap usage 350.624 MB -> 75.796 MB. [2026-03-06T01:14:16.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:14:19.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:14:22.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:14:24.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:14:26.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:14:28.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:14:30.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:14:31.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:14:32.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:14:32.355Z] The best model improves the baseline by 14.52%. [2026-03-06T01:14:32.355Z] Top recommended movies for user id 72: [2026-03-06T01:14:32.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:14:32.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:14:32.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:14:32.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:14:32.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:14:32.355Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21080.014 ms) ====== [2026-03-06T01:14:32.355Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-06T01:14:32.355Z] GC before operation: completed in 168.770 ms, heap usage 369.414 MB -> 86.785 MB. [2026-03-06T01:14:35.380Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:14:37.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:14:40.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:14:43.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:14:44.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:14:46.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:14:47.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:14:49.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:14:49.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:14:49.400Z] The best model improves the baseline by 14.52%. [2026-03-06T01:14:49.400Z] Top recommended movies for user id 72: [2026-03-06T01:14:49.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:14:49.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:14:49.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:14:49.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:14:49.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:14:49.400Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17096.742 ms) ====== [2026-03-06T01:14:49.400Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-06T01:14:49.401Z] GC before operation: completed in 140.004 ms, heap usage 415.366 MB -> 88.909 MB. [2026-03-06T01:14:52.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:14:54.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:14:57.393Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:14:59.520Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:15:00.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:15:01.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:15:03.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:15:05.735Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:15:05.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:15:05.735Z] The best model improves the baseline by 14.52%. [2026-03-06T01:15:05.735Z] Top recommended movies for user id 72: [2026-03-06T01:15:05.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:15:05.735Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:15:05.735Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:15:05.735Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:15:05.735Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:15:05.735Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15887.330 ms) ====== [2026-03-06T01:15:05.735Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-06T01:15:05.735Z] GC before operation: completed in 131.875 ms, heap usage 314.597 MB -> 89.413 MB. [2026-03-06T01:15:07.687Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:15:10.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:15:12.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:15:14.619Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:15:16.573Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:15:17.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:15:19.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:15:20.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:15:20.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:15:20.438Z] The best model improves the baseline by 14.52%. [2026-03-06T01:15:20.438Z] Top recommended movies for user id 72: [2026-03-06T01:15:20.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:15:20.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:15:20.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:15:20.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:15:20.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:15:20.438Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15055.853 ms) ====== [2026-03-06T01:15:20.438Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-06T01:15:21.393Z] GC before operation: completed in 164.189 ms, heap usage 194.287 MB -> 89.593 MB. [2026-03-06T01:15:23.350Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:15:25.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:15:27.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:15:30.297Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:15:31.253Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:15:32.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:15:34.165Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:15:35.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:15:35.120Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:15:35.120Z] The best model improves the baseline by 14.52%. [2026-03-06T01:15:35.120Z] Top recommended movies for user id 72: [2026-03-06T01:15:35.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:15:35.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:15:35.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:15:35.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:15:35.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:15:35.120Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14452.612 ms) ====== [2026-03-06T01:15:35.120Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-06T01:15:36.074Z] GC before operation: completed in 164.527 ms, heap usage 276.889 MB -> 89.608 MB. [2026-03-06T01:15:38.034Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:15:39.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:15:43.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:15:44.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:15:46.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:15:47.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:15:48.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:15:49.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:15:50.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:15:50.804Z] The best model improves the baseline by 14.52%. [2026-03-06T01:15:50.804Z] Top recommended movies for user id 72: [2026-03-06T01:15:50.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:15:50.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:15:50.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:15:50.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:15:50.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:15:50.804Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15010.714 ms) ====== [2026-03-06T01:15:50.804Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-06T01:15:50.804Z] GC before operation: completed in 141.794 ms, heap usage 468.753 MB -> 90.371 MB. [2026-03-06T01:15:52.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:15:54.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:15:56.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:15:58.641Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:16:00.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:16:01.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:16:02.508Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:16:04.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:16:04.464Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:16:04.464Z] The best model improves the baseline by 14.52%. [2026-03-06T01:16:04.464Z] Top recommended movies for user id 72: [2026-03-06T01:16:04.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:16:04.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:16:04.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:16:04.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:16:04.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:16:04.464Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13786.479 ms) ====== [2026-03-06T01:16:04.464Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T01:16:04.464Z] GC before operation: completed in 151.400 ms, heap usage 314.748 MB -> 90.012 MB. [2026-03-06T01:16:08.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:16:09.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:16:11.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:16:14.133Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:16:15.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:16:16.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:16:18.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:16:18.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:16:18.958Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:16:18.958Z] The best model improves the baseline by 14.52%. [2026-03-06T01:16:19.917Z] Top recommended movies for user id 72: [2026-03-06T01:16:19.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:16:19.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:16:19.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:16:19.918Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:16:19.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:16:19.918Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14813.695 ms) ====== [2026-03-06T01:16:19.918Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T01:16:19.918Z] GC before operation: completed in 133.624 ms, heap usage 413.261 MB -> 90.311 MB. [2026-03-06T01:16:21.873Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:16:23.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:16:25.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:16:28.819Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:16:29.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:16:30.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:16:32.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:16:33.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:16:33.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:16:33.639Z] The best model improves the baseline by 14.52%. [2026-03-06T01:16:33.639Z] Top recommended movies for user id 72: [2026-03-06T01:16:33.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:16:33.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:16:33.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:16:33.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:16:33.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:16:33.639Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14327.130 ms) ====== [2026-03-06T01:16:33.639Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T01:16:34.592Z] GC before operation: completed in 118.434 ms, heap usage 123.676 MB -> 89.752 MB. [2026-03-06T01:16:36.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:16:38.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:16:40.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:16:42.425Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:16:44.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:16:45.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:16:47.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:16:48.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:16:48.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:16:48.262Z] The best model improves the baseline by 14.52%. [2026-03-06T01:16:48.262Z] Top recommended movies for user id 72: [2026-03-06T01:16:48.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:16:48.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:16:48.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:16:48.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:16:48.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:16:48.262Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14500.272 ms) ====== [2026-03-06T01:16:48.262Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T01:16:48.262Z] GC before operation: completed in 113.789 ms, heap usage 167.013 MB -> 90.152 MB. [2026-03-06T01:16:51.286Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:16:53.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:16:55.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:16:57.167Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:16:59.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:17:00.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:17:01.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:17:03.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:17:03.004Z] 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. [2026-03-06T01:17:03.004Z] The best model improves the baseline by 14.52%. [2026-03-06T01:17:03.004Z] Top recommended movies for user id 72: [2026-03-06T01:17:03.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:17:03.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:17:03.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:17:03.004Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:17:03.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:17:03.004Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14530.133 ms) ====== [2026-03-06T01:17:03.004Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T01:17:03.004Z] GC before operation: completed in 125.140 ms, heap usage 289.959 MB -> 90.002 MB. [2026-03-06T01:17:04.967Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:17:07.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:17:09.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:17:11.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:17:12.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:17:14.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:17:15.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:17:16.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:17:17.576Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:17:17.576Z] The best model improves the baseline by 14.52%. [2026-03-06T01:17:17.576Z] Top recommended movies for user id 72: [2026-03-06T01:17:17.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:17:17.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:17:17.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:17:17.576Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:17:17.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:17:17.576Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14113.152 ms) ====== [2026-03-06T01:17:17.576Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T01:17:17.576Z] GC before operation: completed in 126.729 ms, heap usage 344.709 MB -> 90.168 MB. [2026-03-06T01:17:19.538Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:17:21.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:17:24.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:17:26.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:17:27.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:17:29.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:17:30.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:17:31.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:17:32.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:17:32.267Z] The best model improves the baseline by 14.52%. [2026-03-06T01:17:32.267Z] Top recommended movies for user id 72: [2026-03-06T01:17:32.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:17:32.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:17:32.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:17:32.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:17:32.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:17:32.267Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14554.758 ms) ====== [2026-03-06T01:17:32.267Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T01:17:32.267Z] GC before operation: completed in 116.123 ms, heap usage 444.633 MB -> 90.548 MB. [2026-03-06T01:17:34.220Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:17:36.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:17:39.194Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:17:41.149Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:17:42.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:17:43.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:17:45.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:17:46.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:17:46.957Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:17:46.957Z] The best model improves the baseline by 14.52%. [2026-03-06T01:17:46.957Z] Top recommended movies for user id 72: [2026-03-06T01:17:46.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:17:46.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:17:46.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:17:46.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:17:46.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:17:46.957Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14417.316 ms) ====== [2026-03-06T01:17:46.957Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T01:17:46.957Z] GC before operation: completed in 121.116 ms, heap usage 101.236 MB -> 89.722 MB. [2026-03-06T01:17:48.912Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:17:50.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:17:53.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:17:55.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:17:56.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:17:57.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:17:59.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:18:00.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:18:00.725Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:18:00.725Z] The best model improves the baseline by 14.52%. [2026-03-06T01:18:01.679Z] Top recommended movies for user id 72: [2026-03-06T01:18:01.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:18:01.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:18:01.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:18:01.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:18:01.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:18:01.679Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14436.982 ms) ====== [2026-03-06T01:18:01.679Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T01:18:01.679Z] GC before operation: completed in 116.085 ms, heap usage 120.877 MB -> 90.190 MB. [2026-03-06T01:18:03.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:18:05.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:18:07.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:18:10.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:18:11.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:18:12.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:18:14.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:18:15.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:18:15.431Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:18:15.431Z] The best model improves the baseline by 14.52%. [2026-03-06T01:18:16.386Z] Top recommended movies for user id 72: [2026-03-06T01:18:16.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:18:16.386Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:18:16.386Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:18:16.386Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:18:16.386Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:18:16.386Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14580.439 ms) ====== [2026-03-06T01:18:16.386Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T01:18:16.386Z] GC before operation: completed in 134.143 ms, heap usage 260.214 MB -> 90.181 MB. [2026-03-06T01:18:18.348Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:18:20.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:18:23.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:18:24.988Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:18:25.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:18:27.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:18:28.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:18:29.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:18:30.772Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:18:30.772Z] The best model improves the baseline by 14.52%. [2026-03-06T01:18:30.772Z] Top recommended movies for user id 72: [2026-03-06T01:18:30.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:18:30.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:18:30.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:18:30.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:18:30.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:18:30.772Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14444.276 ms) ====== [2026-03-06T01:18:30.772Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T01:18:30.772Z] GC before operation: completed in 121.172 ms, heap usage 530.732 MB -> 93.890 MB. [2026-03-06T01:18:32.743Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:18:34.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:18:37.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:18:39.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:18:40.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:18:42.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:18:43.547Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:18:45.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:18:45.507Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:18:45.507Z] The best model improves the baseline by 14.52%. [2026-03-06T01:18:45.507Z] Top recommended movies for user id 72: [2026-03-06T01:18:45.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:18:45.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:18:45.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:18:45.507Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:18:45.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:18:45.507Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14806.446 ms) ====== [2026-03-06T01:18:45.507Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T01:18:45.507Z] GC before operation: completed in 140.519 ms, heap usage 358.276 MB -> 90.287 MB. [2026-03-06T01:18:47.467Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:18:49.425Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:18:52.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:18:54.412Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:18:55.367Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:18:57.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:18:58.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:18:59.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:19:00.280Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:19:00.280Z] The best model improves the baseline by 14.52%. [2026-03-06T01:19:00.280Z] Top recommended movies for user id 72: [2026-03-06T01:19:00.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:19:00.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:19:00.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:19:00.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:19:00.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:19:00.280Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14683.805 ms) ====== [2026-03-06T01:19:00.280Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T01:19:00.280Z] GC before operation: completed in 138.736 ms, heap usage 95.619 MB -> 90.013 MB. [2026-03-06T01:19:02.240Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T01:19:04.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T01:19:06.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T01:19:08.115Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T01:19:10.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T01:19:11.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T01:19:11.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T01:19:12.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T01:19:13.888Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T01:19:13.888Z] The best model improves the baseline by 14.52%. [2026-03-06T01:19:13.888Z] Top recommended movies for user id 72: [2026-03-06T01:19:13.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T01:19:13.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T01:19:13.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T01:19:13.888Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T01:19:13.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T01:19:13.888Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13216.526 ms) ====== [2026-03-06T01:19:13.888Z] ----------------------------------- [2026-03-06T01:19:13.888Z] renaissance-movie-lens_0_PASSED [2026-03-06T01:19:13.888Z] ----------------------------------- [2026-03-06T01:19:13.888Z] [2026-03-06T01:19:13.888Z] TEST TEARDOWN: [2026-03-06T01:19:13.888Z] Nothing to be done for teardown. [2026-03-06T01:19:13.888Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 01:19:13 2026 Epoch Time (ms): 1772759953607