[2026-03-07T13:13:35.759Z] Running test renaissance-movie-lens_0 ... [2026-03-07T13:13:35.759Z] =============================================== [2026-03-07T13:13:35.759Z] renaissance-movie-lens_0 Start Time: Sat Mar 7 13:13:35 2026 Epoch Time (ms): 1772889215188 [2026-03-07T13:13:35.759Z] variation: NoOptions [2026-03-07T13:13:35.759Z] JVM_OPTIONS: [2026-03-07T13:13:35.759Z] { \ [2026-03-07T13:13:35.759Z] echo ""; echo "TEST SETUP:"; \ [2026-03-07T13:13:35.759Z] echo "Nothing to be done for setup."; \ [2026-03-07T13:13:35.759Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17728883751114/renaissance-movie-lens_0"; \ [2026-03-07T13:13:35.759Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17728883751114/renaissance-movie-lens_0"; \ [2026-03-07T13:13:35.759Z] echo ""; echo "TESTING:"; \ [2026-03-07T13:13:35.759Z] "/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_17728883751114/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-07T13:13:35.759Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17728883751114/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-07T13:13:35.759Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-07T13:13:35.759Z] echo "Nothing to be done for teardown."; \ [2026-03-07T13:13:35.759Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17728883751114/TestTargetResult"; [2026-03-07T13:13:35.759Z] [2026-03-07T13:13:35.759Z] TEST SETUP: [2026-03-07T13:13:35.759Z] Nothing to be done for setup. [2026-03-07T13:13:35.759Z] [2026-03-07T13:13:35.759Z] TESTING: [2026-03-07T13:13:36.713Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-07T13:13:36.713Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17728883751114/renaissance-movie-lens_0/launcher-131335-5375240313297387529/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-07T13:13:36.713Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-07T13:13:36.713Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-07T13:13:40.882Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-07T13:13:47.596Z] 13:13:46.857 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. [2026-03-07T13:13:49.556Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-07T13:13:49.556Z] Training: 60056, validation: 20285, test: 19854 [2026-03-07T13:13:49.556Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-07T13:13:49.556Z] GC before operation: completed in 141.776 ms, heap usage 209.952 MB -> 75.578 MB. [2026-03-07T13:13:54.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:13:59.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:14:02.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:14:05.129Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:14:07.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:14:08.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:14:09.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:14:11.975Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:14:11.975Z] 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. [2026-03-07T13:14:11.975Z] The best model improves the baseline by 14.52%. [2026-03-07T13:14:12.941Z] Top recommended movies for user id 72: [2026-03-07T13:14:12.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:14:12.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:14:12.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:14:12.941Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:14:12.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:14:12.941Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22601.071 ms) ====== [2026-03-07T13:14:12.941Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-07T13:14:12.941Z] GC before operation: completed in 151.783 ms, heap usage 208.084 MB -> 89.320 MB. [2026-03-07T13:14:14.894Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:14:17.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:14:19.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:14:22.927Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:14:23.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:14:25.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:14:26.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:14:29.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:14:29.830Z] 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. [2026-03-07T13:14:29.830Z] The best model improves the baseline by 14.52%. [2026-03-07T13:14:29.830Z] Top recommended movies for user id 72: [2026-03-07T13:14:29.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:14:29.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:14:29.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:14:29.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:14:29.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:14:29.830Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16303.147 ms) ====== [2026-03-07T13:14:29.830Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-07T13:14:29.830Z] GC before operation: completed in 151.748 ms, heap usage 513.360 MB -> 88.840 MB. [2026-03-07T13:14:31.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:14:33.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:14:36.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:14:38.897Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:14:40.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:14:41.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:14:43.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:14:45.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:14:45.730Z] 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. [2026-03-07T13:14:45.730Z] The best model improves the baseline by 14.52%. [2026-03-07T13:14:45.730Z] Top recommended movies for user id 72: [2026-03-07T13:14:45.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:14:45.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:14:45.731Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:14:45.731Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:14:45.731Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:14:45.731Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16625.100 ms) ====== [2026-03-07T13:14:45.731Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-07T13:14:45.731Z] GC before operation: completed in 177.051 ms, heap usage 207.257 MB -> 89.125 MB. [2026-03-07T13:14:48.771Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:14:50.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:14:53.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:14:55.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:14:57.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:14:58.608Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:15:00.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:15:01.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:15:01.519Z] 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. [2026-03-07T13:15:01.519Z] The best model improves the baseline by 14.52%. [2026-03-07T13:15:02.482Z] Top recommended movies for user id 72: [2026-03-07T13:15:02.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:15:02.482Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:15:02.482Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:15:02.482Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:15:02.482Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:15:02.482Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16111.342 ms) ====== [2026-03-07T13:15:02.482Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-07T13:15:02.482Z] GC before operation: completed in 143.842 ms, heap usage 466.420 MB -> 89.731 MB. [2026-03-07T13:15:04.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:15:07.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:15:09.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:15:11.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:15:13.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:15:14.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:15:16.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:15:17.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:15:17.216Z] 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. [2026-03-07T13:15:17.216Z] The best model improves the baseline by 14.52%. [2026-03-07T13:15:18.170Z] Top recommended movies for user id 72: [2026-03-07T13:15:18.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:15:18.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:15:18.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:15:18.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:15:18.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:15:18.170Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15449.838 ms) ====== [2026-03-07T13:15:18.170Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-07T13:15:18.170Z] GC before operation: completed in 134.033 ms, heap usage 206.333 MB -> 89.401 MB. [2026-03-07T13:15:20.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:15:22.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:15:25.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:15:27.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:15:28.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:15:30.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:15:31.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:15:33.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:15:33.010Z] 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. [2026-03-07T13:15:33.010Z] The best model improves the baseline by 14.52%. [2026-03-07T13:15:33.010Z] Top recommended movies for user id 72: [2026-03-07T13:15:33.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:15:33.010Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:15:33.010Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:15:33.010Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:15:33.010Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:15:33.010Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15306.011 ms) ====== [2026-03-07T13:15:33.010Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-07T13:15:33.010Z] GC before operation: completed in 144.443 ms, heap usage 390.500 MB -> 89.980 MB. [2026-03-07T13:15:36.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:15:37.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:15:40.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:15:42.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:15:43.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:15:44.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:15:46.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:15:47.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:15:47.659Z] 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. [2026-03-07T13:15:47.659Z] The best model improves the baseline by 14.52%. [2026-03-07T13:15:48.615Z] Top recommended movies for user id 72: [2026-03-07T13:15:48.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:15:48.615Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:15:48.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:15:48.615Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:15:48.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:15:48.615Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14835.542 ms) ====== [2026-03-07T13:15:48.615Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-07T13:15:48.615Z] GC before operation: completed in 157.355 ms, heap usage 240.528 MB -> 89.721 MB. [2026-03-07T13:15:50.581Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:15:52.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:15:55.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:15:57.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:15:58.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:16:00.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:16:01.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:16:03.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:16:03.356Z] 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. [2026-03-07T13:16:03.356Z] The best model improves the baseline by 14.52%. [2026-03-07T13:16:03.356Z] Top recommended movies for user id 72: [2026-03-07T13:16:03.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:16:03.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:16:03.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:16:03.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:16:03.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:16:03.356Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15051.225 ms) ====== [2026-03-07T13:16:03.356Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-07T13:16:03.356Z] GC before operation: completed in 162.864 ms, heap usage 221.799 MB -> 89.901 MB. [2026-03-07T13:16:06.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:16:08.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:16:10.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:16:12.276Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:16:14.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:16:15.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:16:17.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:16:18.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:16:18.128Z] 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. [2026-03-07T13:16:18.128Z] The best model improves the baseline by 14.52%. [2026-03-07T13:16:18.128Z] Top recommended movies for user id 72: [2026-03-07T13:16:18.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:16:18.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:16:18.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:16:18.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:16:18.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:16:18.128Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14993.419 ms) ====== [2026-03-07T13:16:18.128Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-07T13:16:19.255Z] GC before operation: completed in 137.141 ms, heap usage 373.594 MB -> 89.979 MB. [2026-03-07T13:16:21.212Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:16:23.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:16:25.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:16:27.101Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:16:28.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:16:29.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:16:30.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:16:31.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:16:31.924Z] 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. [2026-03-07T13:16:31.924Z] The best model improves the baseline by 14.52%. [2026-03-07T13:16:31.924Z] Top recommended movies for user id 72: [2026-03-07T13:16:31.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:16:31.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:16:31.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:16:31.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:16:31.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:16:31.924Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13462.480 ms) ====== [2026-03-07T13:16:31.924Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-07T13:16:31.924Z] GC before operation: completed in 136.745 ms, heap usage 124.704 MB -> 90.882 MB. [2026-03-07T13:16:33.883Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:16:36.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:16:38.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:16:39.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:16:41.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:16:42.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:16:43.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:16:45.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:16:45.662Z] 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. [2026-03-07T13:16:45.662Z] The best model improves the baseline by 14.52%. [2026-03-07T13:16:45.662Z] Top recommended movies for user id 72: [2026-03-07T13:16:45.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:16:45.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:16:45.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:16:45.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:16:45.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:16:45.662Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13424.621 ms) ====== [2026-03-07T13:16:45.662Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-07T13:16:45.662Z] GC before operation: completed in 126.120 ms, heap usage 755.948 MB -> 93.619 MB. [2026-03-07T13:16:48.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:16:49.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:16:51.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:16:53.353Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:16:55.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:16:56.266Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:16:58.735Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:16:58.735Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:16:59.690Z] 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. [2026-03-07T13:16:59.690Z] The best model improves the baseline by 14.52%. [2026-03-07T13:16:59.690Z] Top recommended movies for user id 72: [2026-03-07T13:16:59.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:16:59.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:16:59.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:16:59.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:16:59.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:16:59.690Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13600.537 ms) ====== [2026-03-07T13:16:59.690Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-07T13:16:59.690Z] GC before operation: completed in 122.071 ms, heap usage 193.516 MB -> 89.790 MB. [2026-03-07T13:17:01.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:17:04.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:17:06.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:17:08.595Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:17:10.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:17:11.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:17:12.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:17:14.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:17:14.425Z] 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. [2026-03-07T13:17:14.425Z] The best model improves the baseline by 14.52%. [2026-03-07T13:17:14.425Z] Top recommended movies for user id 72: [2026-03-07T13:17:14.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:17:14.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:17:14.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:17:14.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:17:14.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:17:14.425Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15162.499 ms) ====== [2026-03-07T13:17:14.425Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-07T13:17:14.425Z] GC before operation: completed in 122.250 ms, heap usage 524.830 MB -> 90.433 MB. [2026-03-07T13:17:17.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:17:19.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:17:21.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:17:23.396Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:17:25.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:17:26.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:17:27.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:17:29.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:17:29.225Z] 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. [2026-03-07T13:17:29.225Z] The best model improves the baseline by 14.52%. [2026-03-07T13:17:29.225Z] Top recommended movies for user id 72: [2026-03-07T13:17:29.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:17:29.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:17:29.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:17:29.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:17:29.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:17:29.225Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14439.022 ms) ====== [2026-03-07T13:17:29.225Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-07T13:17:29.225Z] GC before operation: completed in 147.674 ms, heap usage 254.325 MB -> 89.815 MB. [2026-03-07T13:17:31.183Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:17:34.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:17:36.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:17:38.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:17:39.082Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:17:41.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:17:41.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:17:42.950Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:17:43.905Z] 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. [2026-03-07T13:17:43.905Z] The best model improves the baseline by 14.52%. [2026-03-07T13:17:43.905Z] Top recommended movies for user id 72: [2026-03-07T13:17:43.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:17:43.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:17:43.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:17:43.905Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:17:43.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:17:43.905Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14271.993 ms) ====== [2026-03-07T13:17:43.905Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-07T13:17:43.905Z] GC before operation: completed in 128.571 ms, heap usage 408.864 MB -> 90.305 MB. [2026-03-07T13:17:45.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:17:47.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:17:50.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:17:52.822Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:17:53.776Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:17:54.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:17:56.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:17:57.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:17:57.641Z] 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. [2026-03-07T13:17:57.641Z] The best model improves the baseline by 14.52%. [2026-03-07T13:17:59.565Z] Top recommended movies for user id 72: [2026-03-07T13:17:59.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:17:59.566Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:17:59.566Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:17:59.566Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:17:59.566Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:17:59.566Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14406.408 ms) ====== [2026-03-07T13:17:59.566Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-07T13:17:59.566Z] GC before operation: completed in 143.596 ms, heap usage 263.260 MB -> 90.060 MB. [2026-03-07T13:18:00.519Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:18:02.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:18:04.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:18:06.469Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:18:07.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:18:08.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:18:10.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:18:11.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:18:11.306Z] 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. [2026-03-07T13:18:11.306Z] The best model improves the baseline by 14.52%. [2026-03-07T13:18:11.306Z] Top recommended movies for user id 72: [2026-03-07T13:18:11.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:18:11.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:18:11.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:18:11.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:18:11.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:18:11.306Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13389.184 ms) ====== [2026-03-07T13:18:11.306Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-07T13:18:12.260Z] GC before operation: completed in 120.411 ms, heap usage 553.421 MB -> 93.746 MB. [2026-03-07T13:18:14.219Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:18:16.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:18:18.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:18:20.100Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:18:22.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:18:23.014Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:18:24.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:18:25.929Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:18:25.929Z] 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. [2026-03-07T13:18:25.929Z] The best model improves the baseline by 14.52%. [2026-03-07T13:18:25.929Z] Top recommended movies for user id 72: [2026-03-07T13:18:25.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:18:25.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:18:25.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:18:25.929Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:18:25.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:18:25.929Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14483.487 ms) ====== [2026-03-07T13:18:25.929Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-07T13:18:26.883Z] GC before operation: completed in 123.341 ms, heap usage 179.315 MB -> 89.871 MB. [2026-03-07T13:18:28.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:18:30.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:18:32.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:18:34.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:18:36.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:18:37.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:18:38.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:18:40.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:18:40.544Z] 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. [2026-03-07T13:18:40.544Z] The best model improves the baseline by 14.52%. [2026-03-07T13:18:40.544Z] Top recommended movies for user id 72: [2026-03-07T13:18:40.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:18:40.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:18:40.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:18:40.544Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:18:40.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:18:40.544Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14270.006 ms) ====== [2026-03-07T13:18:40.544Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-07T13:18:40.544Z] GC before operation: completed in 121.254 ms, heap usage 293.472 MB -> 90.087 MB. [2026-03-07T13:18:42.504Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T13:18:45.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T13:18:47.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T13:18:49.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T13:18:50.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T13:18:52.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T13:18:53.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T13:18:55.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T13:18:55.294Z] 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. [2026-03-07T13:18:55.294Z] The best model improves the baseline by 14.52%. [2026-03-07T13:18:55.294Z] Top recommended movies for user id 72: [2026-03-07T13:18:55.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-07T13:18:55.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-07T13:18:55.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-07T13:18:55.294Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-07T13:18:55.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-07T13:18:55.294Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14328.884 ms) ====== [2026-03-07T13:18:55.294Z] ----------------------------------- [2026-03-07T13:18:55.294Z] renaissance-movie-lens_0_PASSED [2026-03-07T13:18:55.294Z] ----------------------------------- [2026-03-07T13:18:55.294Z] [2026-03-07T13:18:55.294Z] TEST TEARDOWN: [2026-03-07T13:18:55.294Z] Nothing to be done for teardown. [2026-03-07T13:18:55.294Z] renaissance-movie-lens_0 Finish Time: Sat Mar 7 13:18:55 2026 Epoch Time (ms): 1772889535126