[2026-01-17T15:11:15.956Z] Running test renaissance-movie-lens_0 ... [2026-01-17T15:11:15.956Z] =============================================== [2026-01-17T15:11:16.909Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 15:11:15 2026 Epoch Time (ms): 1768662675871 [2026-01-17T15:11:16.909Z] variation: NoOptions [2026-01-17T15:11:16.909Z] JVM_OPTIONS: [2026-01-17T15:11:16.909Z] { \ [2026-01-17T15:11:16.909Z] echo ""; echo "TEST SETUP:"; \ [2026-01-17T15:11:16.909Z] echo "Nothing to be done for setup."; \ [2026-01-17T15:11:16.909Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686617967933/renaissance-movie-lens_0"; \ [2026-01-17T15:11:16.909Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686617967933/renaissance-movie-lens_0"; \ [2026-01-17T15:11:16.909Z] echo ""; echo "TESTING:"; \ [2026-01-17T15:11:16.909Z] "/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_17686617967933/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-17T15:11:16.909Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686617967933/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-17T15:11:16.909Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-17T15:11:16.909Z] echo "Nothing to be done for teardown."; \ [2026-01-17T15:11:16.909Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17686617967933/TestTargetResult"; [2026-01-17T15:11:16.909Z] [2026-01-17T15:11:16.909Z] TEST SETUP: [2026-01-17T15:11:16.909Z] Nothing to be done for setup. [2026-01-17T15:11:16.909Z] [2026-01-17T15:11:16.909Z] TESTING: [2026-01-17T15:11:16.909Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-17T15:11:16.909Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17686617967933/renaissance-movie-lens_0/launcher-151116-16332524962650317936/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-17T15:11:16.909Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-17T15:11:16.909Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-17T15:11:22.295Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-17T15:11:28.988Z] 15:11:28.178 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-17T15:11:30.939Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-17T15:11:31.891Z] Training: 60056, validation: 20285, test: 19854 [2026-01-17T15:11:31.891Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-17T15:11:31.891Z] GC before operation: completed in 163.173 ms, heap usage 209.087 MB -> 75.716 MB. [2026-01-17T15:11:37.256Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:11:40.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:11:44.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:11:46.615Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:11:48.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:11:50.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:11:52.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:11:54.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:11:54.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:11:54.446Z] The best model improves the baseline by 14.52%. [2026-01-17T15:11:55.400Z] Top recommended movies for user id 72: [2026-01-17T15:11:55.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:11:55.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:11:55.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:11:55.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:11:55.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:11:55.400Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23395.915 ms) ====== [2026-01-17T15:11:55.400Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-17T15:11:55.400Z] GC before operation: completed in 148.460 ms, heap usage 481.256 MB -> 88.799 MB. [2026-01-17T15:11:58.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:12:00.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:12:03.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:12:07.116Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:12:08.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:12:10.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:12:11.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:12:12.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:12:13.893Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:12:13.893Z] The best model improves the baseline by 14.52%. [2026-01-17T15:12:13.893Z] Top recommended movies for user id 72: [2026-01-17T15:12:13.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:12:13.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:12:13.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:12:13.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:12:13.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:12:13.893Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18573.540 ms) ====== [2026-01-17T15:12:13.893Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-17T15:12:13.893Z] GC before operation: completed in 145.260 ms, heap usage 128.862 MB -> 88.173 MB. [2026-01-17T15:12:15.851Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:12:18.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:12:20.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:12:23.844Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:12:24.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:12:26.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:12:27.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:12:29.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:12:29.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:12:29.683Z] The best model improves the baseline by 14.52%. [2026-01-17T15:12:29.683Z] Top recommended movies for user id 72: [2026-01-17T15:12:29.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:12:29.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:12:29.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:12:29.683Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:12:29.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:12:29.683Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16026.021 ms) ====== [2026-01-17T15:12:29.683Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-17T15:12:29.683Z] GC before operation: completed in 148.969 ms, heap usage 500.750 MB -> 89.459 MB. [2026-01-17T15:12:32.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:12:34.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:12:36.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:12:39.644Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:12:40.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:12:42.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:12:44.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:12:45.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:12:45.613Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:12:45.613Z] The best model improves the baseline by 14.52%. [2026-01-17T15:12:46.566Z] Top recommended movies for user id 72: [2026-01-17T15:12:46.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:12:46.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:12:46.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:12:46.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:12:46.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:12:46.567Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16208.064 ms) ====== [2026-01-17T15:12:46.567Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-17T15:12:46.567Z] GC before operation: completed in 144.210 ms, heap usage 155.836 MB -> 89.236 MB. [2026-01-17T15:12:48.527Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:12:51.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:12:54.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:12:56.552Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:12:58.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:12:59.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:13:01.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:13:02.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:13:02.778Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:13:02.778Z] The best model improves the baseline by 14.52%. [2026-01-17T15:13:02.778Z] Top recommended movies for user id 72: [2026-01-17T15:13:02.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:13:02.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:13:02.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:13:02.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:13:02.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:13:02.778Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16568.486 ms) ====== [2026-01-17T15:13:02.778Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-17T15:13:02.778Z] GC before operation: completed in 150.428 ms, heap usage 259.301 MB -> 89.353 MB. [2026-01-17T15:13:05.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:13:07.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:13:09.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:13:11.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:13:13.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:13:14.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:13:16.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:13:17.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:13:18.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:13:18.442Z] The best model improves the baseline by 14.52%. [2026-01-17T15:13:18.442Z] Top recommended movies for user id 72: [2026-01-17T15:13:18.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:13:18.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:13:18.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:13:18.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:13:18.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:13:18.442Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15162.924 ms) ====== [2026-01-17T15:13:18.442Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-17T15:13:18.442Z] GC before operation: completed in 153.764 ms, heap usage 400.006 MB -> 89.922 MB. [2026-01-17T15:13:20.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:13:23.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:13:25.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:13:28.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:13:29.348Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:13:31.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:13:32.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:13:34.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:13:34.218Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:13:34.218Z] The best model improves the baseline by 14.52%. [2026-01-17T15:13:34.218Z] Top recommended movies for user id 72: [2026-01-17T15:13:34.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:13:34.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:13:34.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:13:34.218Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:13:34.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:13:34.218Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15922.264 ms) ====== [2026-01-17T15:13:34.218Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-17T15:13:34.218Z] GC before operation: completed in 159.178 ms, heap usage 200.248 MB -> 89.578 MB. [2026-01-17T15:13:37.237Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:13:39.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:13:41.158Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:13:43.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:13:45.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:13:46.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:13:47.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:13:49.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:13:49.043Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:13:49.043Z] The best model improves the baseline by 14.52%. [2026-01-17T15:13:49.043Z] Top recommended movies for user id 72: [2026-01-17T15:13:49.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:13:49.043Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:13:49.043Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:13:49.043Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:13:49.043Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:13:49.043Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14497.755 ms) ====== [2026-01-17T15:13:49.043Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-17T15:13:49.043Z] GC before operation: completed in 164.220 ms, heap usage 634.904 MB -> 93.595 MB. [2026-01-17T15:13:50.998Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:13:54.020Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:13:55.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:13:57.637Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:13:58.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:14:00.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:14:01.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:14:03.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:14:03.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:14:03.458Z] The best model improves the baseline by 14.52%. [2026-01-17T15:14:03.458Z] Top recommended movies for user id 72: [2026-01-17T15:14:03.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:14:03.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:14:03.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:14:03.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:14:03.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:14:03.458Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14188.574 ms) ====== [2026-01-17T15:14:03.458Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-17T15:14:03.458Z] GC before operation: completed in 210.623 ms, heap usage 447.964 MB -> 90.068 MB. [2026-01-17T15:14:05.450Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:14:07.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:14:10.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:14:12.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:14:13.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:14:14.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:14:16.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:14:17.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:14:17.195Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:14:17.195Z] The best model improves the baseline by 14.52%. [2026-01-17T15:14:17.195Z] Top recommended movies for user id 72: [2026-01-17T15:14:17.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:14:17.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:14:17.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:14:17.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:14:17.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:14:17.196Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14006.572 ms) ====== [2026-01-17T15:14:17.196Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-17T15:14:18.148Z] GC before operation: completed in 173.005 ms, heap usage 167.257 MB -> 89.865 MB. [2026-01-17T15:14:20.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:14:22.063Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:14:24.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:14:25.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:14:27.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:14:28.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:14:30.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:14:31.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:14:31.799Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:14:31.799Z] The best model improves the baseline by 14.52%. [2026-01-17T15:14:31.799Z] Top recommended movies for user id 72: [2026-01-17T15:14:31.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:14:31.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:14:31.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:14:31.799Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:14:31.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:14:31.799Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14394.904 ms) ====== [2026-01-17T15:14:31.799Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-17T15:14:32.752Z] GC before operation: completed in 160.770 ms, heap usage 559.772 MB -> 93.199 MB. [2026-01-17T15:14:34.708Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:14:36.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:14:38.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:14:40.577Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:14:42.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:14:43.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:14:44.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:14:46.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:14:46.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:14:46.397Z] The best model improves the baseline by 14.52%. [2026-01-17T15:14:46.397Z] Top recommended movies for user id 72: [2026-01-17T15:14:46.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:14:46.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:14:46.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:14:46.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:14:46.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:14:46.397Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14123.891 ms) ====== [2026-01-17T15:14:46.397Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-17T15:14:46.397Z] GC before operation: completed in 156.676 ms, heap usage 268.840 MB -> 89.877 MB. [2026-01-17T15:14:49.418Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:14:50.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:14:52.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:14:54.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:14:56.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:14:57.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:14:59.624Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:15:00.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:15:00.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:15:00.581Z] The best model improves the baseline by 14.52%. [2026-01-17T15:15:01.534Z] Top recommended movies for user id 72: [2026-01-17T15:15:01.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:15:01.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:15:01.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:15:01.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:15:01.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:15:01.534Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14434.705 ms) ====== [2026-01-17T15:15:01.534Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-17T15:15:01.534Z] GC before operation: completed in 144.054 ms, heap usage 446.407 MB -> 90.255 MB. [2026-01-17T15:15:03.488Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:15:05.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:15:07.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:15:09.350Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:15:11.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:15:12.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:15:14.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:15:15.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:15:15.166Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:15:15.166Z] The best model improves the baseline by 14.52%. [2026-01-17T15:15:15.166Z] Top recommended movies for user id 72: [2026-01-17T15:15:15.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:15:15.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:15:15.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:15:15.166Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:15:15.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:15:15.166Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14363.065 ms) ====== [2026-01-17T15:15:15.166Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-17T15:15:16.123Z] GC before operation: completed in 167.585 ms, heap usage 542.427 MB -> 90.166 MB. [2026-01-17T15:15:18.078Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:15:20.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:15:21.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:15:23.943Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:15:25.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:15:26.845Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:15:27.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:15:29.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:15:29.747Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:15:29.747Z] The best model improves the baseline by 14.52%. [2026-01-17T15:15:29.747Z] Top recommended movies for user id 72: [2026-01-17T15:15:29.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:15:29.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:15:29.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:15:29.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:15:29.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:15:29.747Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14358.115 ms) ====== [2026-01-17T15:15:29.747Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-17T15:15:30.700Z] GC before operation: completed in 152.190 ms, heap usage 103.385 MB -> 89.817 MB. [2026-01-17T15:15:32.655Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:15:34.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:15:37.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:15:39.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:15:40.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:15:42.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:15:43.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:15:45.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:15:45.894Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:15:45.894Z] The best model improves the baseline by 14.52%. [2026-01-17T15:15:45.894Z] Top recommended movies for user id 72: [2026-01-17T15:15:45.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:15:45.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:15:45.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:15:45.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:15:45.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:15:45.894Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15348.742 ms) ====== [2026-01-17T15:15:45.894Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-17T15:15:45.894Z] GC before operation: completed in 154.297 ms, heap usage 296.512 MB -> 90.003 MB. [2026-01-17T15:15:47.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:15:49.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:15:52.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:15:54.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:15:55.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:15:57.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:15:58.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:16:00.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:16:00.662Z] 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. [2026-01-17T15:16:00.662Z] The best model improves the baseline by 14.52%. [2026-01-17T15:16:00.662Z] Top recommended movies for user id 72: [2026-01-17T15:16:00.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:16:00.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:16:00.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:16:00.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:16:00.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:16:00.662Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15124.588 ms) ====== [2026-01-17T15:16:00.663Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-17T15:16:00.663Z] GC before operation: completed in 148.629 ms, heap usage 180.313 MB -> 89.954 MB. [2026-01-17T15:16:03.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:16:05.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:16:07.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:16:10.648Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:16:11.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:16:12.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:16:14.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:16:15.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:16:15.470Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:16:15.470Z] The best model improves the baseline by 14.52%. [2026-01-17T15:16:16.422Z] Top recommended movies for user id 72: [2026-01-17T15:16:16.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:16:16.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:16:16.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:16:16.422Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:16:16.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:16:16.422Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14998.661 ms) ====== [2026-01-17T15:16:16.422Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-17T15:16:16.422Z] GC before operation: completed in 138.963 ms, heap usage 432.785 MB -> 89.996 MB. [2026-01-17T15:16:18.379Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:16:20.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:16:23.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:16:24.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:16:26.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:16:27.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:16:28.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:16:30.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:16:30.138Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:16:30.138Z] The best model improves the baseline by 14.52%. [2026-01-17T15:16:30.138Z] Top recommended movies for user id 72: [2026-01-17T15:16:30.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:16:30.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:16:30.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:16:30.138Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:16:30.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:16:30.138Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13966.473 ms) ====== [2026-01-17T15:16:30.138Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-17T15:16:30.138Z] GC before operation: completed in 199.541 ms, heap usage 371.002 MB -> 90.148 MB. [2026-01-17T15:16:32.099Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T15:16:34.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T15:16:36.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T15:16:37.973Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T15:16:40.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T15:16:41.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T15:16:42.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T15:16:43.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T15:16:43.714Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-17T15:16:43.714Z] The best model improves the baseline by 14.52%. [2026-01-17T15:16:43.714Z] Top recommended movies for user id 72: [2026-01-17T15:16:43.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-17T15:16:43.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-17T15:16:43.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-17T15:16:43.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-17T15:16:43.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-17T15:16:43.714Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13517.247 ms) ====== [2026-01-17T15:16:44.665Z] ----------------------------------- [2026-01-17T15:16:44.665Z] renaissance-movie-lens_0_PASSED [2026-01-17T15:16:44.665Z] ----------------------------------- [2026-01-17T15:16:44.665Z] [2026-01-17T15:16:44.665Z] TEST TEARDOWN: [2026-01-17T15:16:44.665Z] Nothing to be done for teardown. [2026-01-17T15:16:44.665Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 15:16:43 2026 Epoch Time (ms): 1768663003838