[2025-10-16T01:11:30.810Z] Running test renaissance-movie-lens_0 ... [2025-10-16T01:11:30.810Z] =============================================== [2025-10-16T01:11:30.810Z] renaissance-movie-lens_0 Start Time: Thu Oct 16 01:11:30 2025 Epoch Time (ms): 1760577090710 [2025-10-16T01:11:30.810Z] variation: NoOptions [2025-10-16T01:11:30.810Z] JVM_OPTIONS: [2025-10-16T01:11:30.810Z] { \ [2025-10-16T01:11:30.810Z] echo ""; echo "TEST SETUP:"; \ [2025-10-16T01:11:30.810Z] echo "Nothing to be done for setup."; \ [2025-10-16T01:11:30.810Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1760575649346/renaissance-movie-lens_0"; \ [2025-10-16T01:11:30.810Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1760575649346/renaissance-movie-lens_0"; \ [2025-10-16T01:11:30.810Z] echo ""; echo "TESTING:"; \ [2025-10-16T01:11:30.810Z] "/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_1760575649346/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-16T01:11:30.810Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1760575649346/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-16T01:11:30.810Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-16T01:11:30.810Z] echo "Nothing to be done for teardown."; \ [2025-10-16T01:11:30.810Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1760575649346/TestTargetResult"; [2025-10-16T01:11:31.745Z] [2025-10-16T01:11:31.745Z] TEST SETUP: [2025-10-16T01:11:31.745Z] Nothing to be done for setup. [2025-10-16T01:11:31.745Z] [2025-10-16T01:11:31.745Z] TESTING: [2025-10-16T01:11:31.745Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-16T01:11:31.745Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_1760575649346/renaissance-movie-lens_0/launcher-011130-420117480039612622/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-16T01:11:31.745Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-16T01:11:31.745Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-16T01:11:35.832Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-16T01:11:42.434Z] 01:11:42.328 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. [2025-10-16T01:11:44.364Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-16T01:11:45.300Z] Training: 60056, validation: 20285, test: 19854 [2025-10-16T01:11:45.300Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-16T01:11:45.300Z] GC before operation: completed in 144.913 ms, heap usage 324.752 MB -> 75.829 MB. [2025-10-16T01:11:51.326Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:11:54.295Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:11:57.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:12:00.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:12:02.147Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:12:03.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:12:05.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:12:06.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:12:06.930Z] 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. [2025-10-16T01:12:07.901Z] The best model improves the baseline by 14.52%. [2025-10-16T01:12:07.901Z] Top recommended movies for user id 72: [2025-10-16T01:12:07.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:12:07.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:12:07.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:12:07.901Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:12:07.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:12:07.901Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22444.101 ms) ====== [2025-10-16T01:12:07.901Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-16T01:12:07.901Z] GC before operation: completed in 165.110 ms, heap usage 262.964 MB -> 92.985 MB. [2025-10-16T01:12:10.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:12:12.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:12:15.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:12:17.781Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:12:19.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:12:21.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:12:22.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:12:24.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:12:24.495Z] 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. [2025-10-16T01:12:24.495Z] The best model improves the baseline by 14.52%. [2025-10-16T01:12:24.495Z] Top recommended movies for user id 72: [2025-10-16T01:12:24.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:12:24.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:12:24.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:12:24.495Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:12:24.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:12:24.495Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16866.482 ms) ====== [2025-10-16T01:12:24.495Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-16T01:12:24.495Z] GC before operation: completed in 163.261 ms, heap usage 178.330 MB -> 88.542 MB. [2025-10-16T01:12:27.462Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:12:29.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:12:32.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:12:34.447Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:12:35.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:12:37.303Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:12:38.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:12:40.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:12:40.551Z] 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. [2025-10-16T01:12:40.551Z] The best model improves the baseline by 14.52%. [2025-10-16T01:12:40.551Z] Top recommended movies for user id 72: [2025-10-16T01:12:40.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:12:40.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:12:40.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:12:40.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:12:40.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:12:40.551Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15822.906 ms) ====== [2025-10-16T01:12:40.551Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-16T01:12:40.551Z] GC before operation: completed in 163.579 ms, heap usage 441.861 MB -> 89.523 MB. [2025-10-16T01:12:43.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:12:45.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:12:48.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:12:50.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:12:52.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:12:54.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:12:55.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:12:57.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:12:57.075Z] 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. [2025-10-16T01:12:57.075Z] The best model improves the baseline by 14.52%. [2025-10-16T01:12:57.075Z] Top recommended movies for user id 72: [2025-10-16T01:12:57.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:12:57.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:12:57.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:12:57.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:12:57.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:12:57.075Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16539.179 ms) ====== [2025-10-16T01:12:57.075Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-16T01:12:57.075Z] GC before operation: completed in 132.473 ms, heap usage 290.722 MB -> 89.676 MB. [2025-10-16T01:13:00.051Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:13:01.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:13:04.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:13:08.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:13:09.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:13:10.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:13:11.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:13:13.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:13:13.800Z] 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. [2025-10-16T01:13:13.800Z] The best model improves the baseline by 14.52%. [2025-10-16T01:13:13.800Z] Top recommended movies for user id 72: [2025-10-16T01:13:13.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:13:13.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:13:13.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:13:13.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:13:13.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:13:13.800Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16551.491 ms) ====== [2025-10-16T01:13:13.800Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-16T01:13:13.800Z] GC before operation: completed in 127.432 ms, heap usage 369.418 MB -> 89.627 MB. [2025-10-16T01:13:16.765Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:13:18.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:13:20.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:13:22.530Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:13:24.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:13:25.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:13:27.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:13:28.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:13:28.243Z] 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. [2025-10-16T01:13:28.243Z] The best model improves the baseline by 14.52%. [2025-10-16T01:13:28.243Z] Top recommended movies for user id 72: [2025-10-16T01:13:28.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:13:28.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:13:28.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:13:28.243Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:13:28.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:13:28.243Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14366.145 ms) ====== [2025-10-16T01:13:28.243Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-16T01:13:29.180Z] GC before operation: completed in 151.094 ms, heap usage 541.222 MB -> 90.286 MB. [2025-10-16T01:13:31.102Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:13:32.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:13:35.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:13:36.635Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:13:38.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:13:39.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:13:41.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:13:42.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:13:42.389Z] 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. [2025-10-16T01:13:42.389Z] The best model improves the baseline by 14.52%. [2025-10-16T01:13:42.389Z] Top recommended movies for user id 72: [2025-10-16T01:13:42.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:13:42.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:13:42.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:13:42.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:13:42.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:13:42.389Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14025.409 ms) ====== [2025-10-16T01:13:42.389Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-16T01:13:43.334Z] GC before operation: completed in 151.842 ms, heap usage 451.390 MB -> 90.019 MB. [2025-10-16T01:13:45.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:13:47.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:13:49.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:13:52.081Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:13:53.017Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:13:53.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:13:55.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:13:56.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:13:56.819Z] 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. [2025-10-16T01:13:56.819Z] The best model improves the baseline by 14.52%. [2025-10-16T01:13:57.754Z] Top recommended movies for user id 72: [2025-10-16T01:13:57.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:13:57.754Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:13:57.754Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:13:57.754Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:13:57.754Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:13:57.754Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14511.518 ms) ====== [2025-10-16T01:13:57.754Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-16T01:13:57.754Z] GC before operation: completed in 132.567 ms, heap usage 262.847 MB -> 90.088 MB. [2025-10-16T01:13:59.674Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:14:01.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:14:04.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:14:06.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:14:08.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:14:09.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:14:11.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:14:12.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:14:12.259Z] 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. [2025-10-16T01:14:13.196Z] The best model improves the baseline by 14.52%. [2025-10-16T01:14:13.196Z] Top recommended movies for user id 72: [2025-10-16T01:14:13.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:14:13.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:14:13.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:14:13.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:14:13.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:14:13.196Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15422.891 ms) ====== [2025-10-16T01:14:13.196Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-16T01:14:13.196Z] GC before operation: completed in 156.555 ms, heap usage 372.902 MB -> 90.092 MB. [2025-10-16T01:14:15.123Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:14:18.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:14:20.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:14:22.638Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:14:23.573Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:14:25.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:14:26.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:14:28.415Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:14:28.415Z] 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. [2025-10-16T01:14:28.415Z] The best model improves the baseline by 14.52%. [2025-10-16T01:14:28.415Z] Top recommended movies for user id 72: [2025-10-16T01:14:28.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:14:28.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:14:28.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:14:28.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:14:28.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:14:28.415Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15598.724 ms) ====== [2025-10-16T01:14:28.415Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-16T01:14:29.351Z] GC before operation: completed in 174.157 ms, heap usage 400.244 MB -> 90.308 MB. [2025-10-16T01:14:31.276Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:14:33.198Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:14:35.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:14:37.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:14:39.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:14:40.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:14:41.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:14:42.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:14:42.862Z] 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. [2025-10-16T01:14:42.862Z] The best model improves the baseline by 14.52%. [2025-10-16T01:14:42.862Z] Top recommended movies for user id 72: [2025-10-16T01:14:42.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:14:42.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:14:42.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:14:42.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:14:42.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:14:42.862Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14347.064 ms) ====== [2025-10-16T01:14:42.862Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-16T01:14:43.798Z] GC before operation: completed in 179.254 ms, heap usage 203.470 MB -> 89.807 MB. [2025-10-16T01:14:45.720Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:14:47.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:14:49.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:14:51.489Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:14:53.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:14:54.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:14:56.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:14:57.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:14:57.222Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-16T01:14:57.222Z] The best model improves the baseline by 14.52%. [2025-10-16T01:14:58.164Z] Top recommended movies for user id 72: [2025-10-16T01:14:58.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:14:58.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:14:58.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:14:58.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:14:58.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:14:58.164Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14379.116 ms) ====== [2025-10-16T01:14:58.164Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-16T01:14:58.164Z] GC before operation: completed in 165.311 ms, heap usage 625.591 MB -> 93.727 MB. [2025-10-16T01:15:00.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:15:02.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:15:05.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:15:05.938Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:15:07.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:15:08.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:15:10.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:15:11.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:15:11.697Z] 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. [2025-10-16T01:15:11.697Z] The best model improves the baseline by 14.52%. [2025-10-16T01:15:11.697Z] Top recommended movies for user id 72: [2025-10-16T01:15:11.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:15:11.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:15:11.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:15:11.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:15:11.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:15:11.697Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14102.863 ms) ====== [2025-10-16T01:15:11.697Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-16T01:15:12.634Z] GC before operation: completed in 134.819 ms, heap usage 287.461 MB -> 90.164 MB. [2025-10-16T01:15:15.269Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:15:16.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:15:18.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:15:20.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:15:21.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:15:22.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:15:23.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:15:25.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:15:25.798Z] 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. [2025-10-16T01:15:25.798Z] The best model improves the baseline by 14.52%. [2025-10-16T01:15:25.798Z] Top recommended movies for user id 72: [2025-10-16T01:15:25.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:15:25.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:15:25.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:15:25.798Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:15:25.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:15:25.798Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13740.383 ms) ====== [2025-10-16T01:15:25.798Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-16T01:15:25.798Z] GC before operation: completed in 124.225 ms, heap usage 179.646 MB -> 89.911 MB. [2025-10-16T01:15:27.721Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:15:30.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:15:32.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:15:34.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:15:36.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:15:37.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:15:39.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:15:40.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:15:40.251Z] 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. [2025-10-16T01:15:40.251Z] The best model improves the baseline by 14.52%. [2025-10-16T01:15:41.186Z] Top recommended movies for user id 72: [2025-10-16T01:15:41.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:15:41.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:15:41.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:15:41.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:15:41.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:15:41.186Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14800.596 ms) ====== [2025-10-16T01:15:41.186Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-16T01:15:41.186Z] GC before operation: completed in 119.195 ms, heap usage 370.782 MB -> 90.352 MB. [2025-10-16T01:15:43.107Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:15:45.029Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:15:47.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:15:49.913Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:15:51.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:15:52.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:15:54.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:15:55.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:15:55.624Z] 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. [2025-10-16T01:15:56.560Z] The best model improves the baseline by 14.52%. [2025-10-16T01:15:56.560Z] Top recommended movies for user id 72: [2025-10-16T01:15:56.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:15:56.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:15:56.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:15:56.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:15:56.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:15:56.560Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15259.037 ms) ====== [2025-10-16T01:15:56.560Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-16T01:15:56.560Z] GC before operation: completed in 129.789 ms, heap usage 229.599 MB -> 89.998 MB. [2025-10-16T01:15:58.483Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:16:00.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:16:02.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:16:04.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:16:06.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:16:07.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:16:08.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:16:09.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:16:09.696Z] 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. [2025-10-16T01:16:09.696Z] The best model improves the baseline by 14.52%. [2025-10-16T01:16:09.696Z] Top recommended movies for user id 72: [2025-10-16T01:16:09.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:16:09.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:16:09.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:16:09.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:16:09.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:16:09.696Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13703.862 ms) ====== [2025-10-16T01:16:09.696Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-16T01:16:10.631Z] GC before operation: completed in 151.963 ms, heap usage 216.804 MB -> 90.055 MB. [2025-10-16T01:16:12.556Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:16:14.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:16:17.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:16:19.364Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:16:20.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:16:22.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:16:23.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:16:25.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:16:25.090Z] 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. [2025-10-16T01:16:25.090Z] The best model improves the baseline by 14.52%. [2025-10-16T01:16:25.090Z] Top recommended movies for user id 72: [2025-10-16T01:16:25.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:16:25.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:16:25.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:16:25.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:16:25.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:16:25.090Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15288.844 ms) ====== [2025-10-16T01:16:25.090Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-16T01:16:26.030Z] GC before operation: completed in 168.077 ms, heap usage 109.523 MB -> 89.870 MB. [2025-10-16T01:16:27.951Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:16:29.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:16:32.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:16:34.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:16:35.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:16:37.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:16:38.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:16:40.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:16:40.506Z] 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. [2025-10-16T01:16:40.506Z] The best model improves the baseline by 14.52%. [2025-10-16T01:16:40.506Z] Top recommended movies for user id 72: [2025-10-16T01:16:40.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:16:40.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:16:40.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:16:40.506Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:16:40.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:16:40.506Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14944.171 ms) ====== [2025-10-16T01:16:40.506Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-16T01:16:40.506Z] GC before operation: completed in 171.463 ms, heap usage 434.201 MB -> 90.190 MB. [2025-10-16T01:16:42.427Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T01:16:44.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T01:16:47.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T01:16:49.242Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T01:16:50.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T01:16:51.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T01:16:53.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T01:16:53.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T01:16:53.970Z] 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. [2025-10-16T01:16:53.970Z] The best model improves the baseline by 14.52%. [2025-10-16T01:16:54.911Z] Top recommended movies for user id 72: [2025-10-16T01:16:54.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-16T01:16:54.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-16T01:16:54.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-16T01:16:54.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-16T01:16:54.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-16T01:16:54.911Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13724.848 ms) ====== [2025-10-16T01:16:54.911Z] ----------------------------------- [2025-10-16T01:16:54.911Z] renaissance-movie-lens_0_PASSED [2025-10-16T01:16:54.911Z] ----------------------------------- [2025-10-16T01:16:54.911Z] [2025-10-16T01:16:54.911Z] TEST TEARDOWN: [2025-10-16T01:16:54.911Z] Nothing to be done for teardown. [2025-10-16T01:16:54.911Z] renaissance-movie-lens_0 Finish Time: Thu Oct 16 01:16:54 2025 Epoch Time (ms): 1760577414465