[2025-10-31T13:11:56.077Z] Running test renaissance-movie-lens_0 ... [2025-10-31T13:11:56.077Z] =============================================== [2025-10-31T13:11:56.077Z] renaissance-movie-lens_0 Start Time: Fri Oct 31 13:11:55 2025 Epoch Time (ms): 1761916315488 [2025-10-31T13:11:56.077Z] variation: NoOptions [2025-10-31T13:11:56.077Z] JVM_OPTIONS: [2025-10-31T13:11:56.077Z] { \ [2025-10-31T13:11:56.077Z] echo ""; echo "TEST SETUP:"; \ [2025-10-31T13:11:56.077Z] echo "Nothing to be done for setup."; \ [2025-10-31T13:11:56.077Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17619147348075/renaissance-movie-lens_0"; \ [2025-10-31T13:11:56.077Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17619147348075/renaissance-movie-lens_0"; \ [2025-10-31T13:11:56.077Z] echo ""; echo "TESTING:"; \ [2025-10-31T13:11:56.077Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17619147348075/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-31T13:11:56.077Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17619147348075/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-31T13:11:56.077Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-31T13:11:56.077Z] echo "Nothing to be done for teardown."; \ [2025-10-31T13:11:56.077Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17619147348075/TestTargetResult"; [2025-10-31T13:11:56.077Z] [2025-10-31T13:11:56.077Z] TEST SETUP: [2025-10-31T13:11:56.077Z] Nothing to be done for setup. [2025-10-31T13:11:56.077Z] [2025-10-31T13:11:56.077Z] TESTING: [2025-10-31T13:11:56.677Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-31T13:11:56.677Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17619147348075/renaissance-movie-lens_0/launcher-131155-5917860369647603467/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-31T13:11:56.677Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-31T13:11:56.677Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-31T13:12:01.241Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-10-31T13:12:06.956Z] 13:12:06.517 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-10-31T13:12:09.703Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-31T13:12:10.534Z] Training: 60056, validation: 20285, test: 19854 [2025-10-31T13:12:10.534Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-31T13:12:10.534Z] GC before operation: completed in 227.517 ms, heap usage 198.614 MB -> 75.484 MB. [2025-10-31T13:12:19.034Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:12:23.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:12:26.440Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:12:29.148Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:12:31.088Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:12:33.054Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:12:35.811Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:12:37.073Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:12:37.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:12:37.668Z] The best model improves the baseline by 14.34%. [2025-10-31T13:12:37.668Z] Top recommended movies for user id 72: [2025-10-31T13:12:37.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:12:37.668Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:12:37.668Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:12:37.668Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:12:37.668Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:12:37.668Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27355.944 ms) ====== [2025-10-31T13:12:37.668Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-31T13:12:38.264Z] GC before operation: completed in 220.046 ms, heap usage 210.198 MB -> 97.592 MB. [2025-10-31T13:12:41.108Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:12:43.905Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:12:47.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:12:49.609Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:12:51.621Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:12:52.875Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:12:54.815Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:12:56.052Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:12:56.643Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:12:56.643Z] The best model improves the baseline by 14.34%. [2025-10-31T13:12:56.643Z] Top recommended movies for user id 72: [2025-10-31T13:12:56.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:12:56.643Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:12:56.643Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:12:56.643Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:12:56.643Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:12:56.643Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18611.710 ms) ====== [2025-10-31T13:12:56.643Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-31T13:12:56.643Z] GC before operation: completed in 227.735 ms, heap usage 178.142 MB -> 87.542 MB. [2025-10-31T13:12:59.736Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:13:02.439Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:13:04.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:13:07.233Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:13:09.293Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:13:10.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:13:13.263Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:13:14.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:13:14.504Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:13:14.504Z] The best model improves the baseline by 14.34%. [2025-10-31T13:13:15.092Z] Top recommended movies for user id 72: [2025-10-31T13:13:15.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:13:15.092Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:13:15.092Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:13:15.092Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:13:15.092Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:13:15.092Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18080.649 ms) ====== [2025-10-31T13:13:15.092Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-31T13:13:15.092Z] GC before operation: completed in 138.794 ms, heap usage 199.783 MB -> 88.173 MB. [2025-10-31T13:13:17.804Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:13:20.554Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:13:23.265Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:13:25.986Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:13:27.922Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:13:29.151Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:13:31.093Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:13:33.031Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:13:33.031Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:13:33.031Z] The best model improves the baseline by 14.34%. [2025-10-31T13:13:33.031Z] Top recommended movies for user id 72: [2025-10-31T13:13:33.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:13:33.031Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:13:33.031Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:13:33.031Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:13:33.031Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:13:33.031Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17916.168 ms) ====== [2025-10-31T13:13:33.031Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-31T13:13:33.031Z] GC before operation: completed in 106.747 ms, heap usage 281.065 MB -> 88.584 MB. [2025-10-31T13:13:35.739Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:13:38.799Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:13:41.514Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:13:44.239Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:13:45.511Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:13:47.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:13:49.425Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:13:51.375Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:13:51.375Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:13:51.375Z] The best model improves the baseline by 14.34%. [2025-10-31T13:13:51.973Z] Top recommended movies for user id 72: [2025-10-31T13:13:51.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:13:51.973Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:13:51.973Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:13:51.973Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:13:51.973Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:13:51.973Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18522.228 ms) ====== [2025-10-31T13:13:51.973Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-31T13:13:51.973Z] GC before operation: completed in 174.048 ms, heap usage 440.850 MB -> 92.058 MB. [2025-10-31T13:13:54.693Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:13:58.276Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:14:01.029Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:14:03.779Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:14:05.741Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:14:06.980Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:14:08.950Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:14:10.200Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:14:10.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:14:10.804Z] The best model improves the baseline by 14.34%. [2025-10-31T13:14:10.804Z] Top recommended movies for user id 72: [2025-10-31T13:14:10.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:14:10.804Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:14:10.804Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:14:10.804Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:14:10.804Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:14:10.804Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18986.342 ms) ====== [2025-10-31T13:14:10.804Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-31T13:14:10.804Z] GC before operation: completed in 220.588 ms, heap usage 242.169 MB -> 88.794 MB. [2025-10-31T13:14:13.567Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:14:16.315Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:14:19.910Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:14:21.927Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:14:23.865Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:14:25.095Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:14:26.324Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:14:28.276Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:14:28.276Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:14:28.276Z] The best model improves the baseline by 14.34%. [2025-10-31T13:14:28.276Z] Top recommended movies for user id 72: [2025-10-31T13:14:28.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:14:28.276Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:14:28.276Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:14:28.276Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:14:28.276Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:14:28.276Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17388.212 ms) ====== [2025-10-31T13:14:28.276Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-31T13:14:28.889Z] GC before operation: completed in 213.697 ms, heap usage 217.371 MB -> 88.739 MB. [2025-10-31T13:14:30.829Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:14:33.548Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:14:36.296Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:14:39.037Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:14:40.999Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:14:42.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:14:44.904Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:14:46.159Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:14:46.760Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:14:46.760Z] The best model improves the baseline by 14.34%. [2025-10-31T13:14:46.760Z] Top recommended movies for user id 72: [2025-10-31T13:14:46.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:14:46.760Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:14:46.760Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:14:46.760Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:14:46.760Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:14:46.760Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18152.909 ms) ====== [2025-10-31T13:14:46.760Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-31T13:14:46.760Z] GC before operation: completed in 209.979 ms, heap usage 532.219 MB -> 92.667 MB. [2025-10-31T13:14:49.489Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:14:52.666Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:14:56.272Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:14:58.294Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:15:00.305Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:15:01.568Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:15:03.562Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:15:05.524Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:15:05.524Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:15:05.524Z] The best model improves the baseline by 14.34%. [2025-10-31T13:15:05.524Z] Top recommended movies for user id 72: [2025-10-31T13:15:05.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:15:05.524Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:15:05.524Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:15:05.524Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:15:05.524Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:15:05.524Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18583.952 ms) ====== [2025-10-31T13:15:05.524Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-31T13:15:05.524Z] GC before operation: completed in 201.755 ms, heap usage 234.723 MB -> 88.939 MB. [2025-10-31T13:15:09.167Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:15:11.173Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:15:13.941Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:15:16.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:15:17.924Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:15:19.161Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:15:21.149Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:15:22.389Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:15:22.390Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:15:22.390Z] The best model improves the baseline by 14.34%. [2025-10-31T13:15:22.390Z] Top recommended movies for user id 72: [2025-10-31T13:15:22.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:15:22.390Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:15:22.390Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:15:22.390Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:15:22.390Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:15:22.390Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16864.300 ms) ====== [2025-10-31T13:15:22.390Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-31T13:15:22.993Z] GC before operation: completed in 195.908 ms, heap usage 392.219 MB -> 89.430 MB. [2025-10-31T13:15:25.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:15:28.514Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:15:30.843Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:15:33.180Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:15:35.215Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:15:36.464Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:15:38.503Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:15:39.754Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:15:40.359Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:15:40.359Z] The best model improves the baseline by 14.34%. [2025-10-31T13:15:40.359Z] Top recommended movies for user id 72: [2025-10-31T13:15:40.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:15:40.359Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:15:40.359Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:15:40.359Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:15:40.359Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:15:40.359Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17625.434 ms) ====== [2025-10-31T13:15:40.359Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-31T13:15:40.963Z] GC before operation: completed in 193.434 ms, heap usage 200.245 MB -> 88.716 MB. [2025-10-31T13:15:43.741Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:15:46.530Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:15:50.303Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:15:53.113Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:15:55.106Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:15:57.137Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:15:58.450Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:16:00.493Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:16:01.099Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:16:01.099Z] The best model improves the baseline by 14.34%. [2025-10-31T13:16:01.099Z] Top recommended movies for user id 72: [2025-10-31T13:16:01.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:16:01.099Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:16:01.099Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:16:01.099Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:16:01.099Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:16:01.099Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20508.658 ms) ====== [2025-10-31T13:16:01.099Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-31T13:16:01.099Z] GC before operation: completed in 180.277 ms, heap usage 243.853 MB -> 88.984 MB. [2025-10-31T13:16:04.847Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:16:07.685Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:16:11.291Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:16:14.163Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:16:16.229Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:16:18.231Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:16:20.248Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:16:22.276Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:16:22.276Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:16:22.276Z] The best model improves the baseline by 14.34%. [2025-10-31T13:16:22.906Z] Top recommended movies for user id 72: [2025-10-31T13:16:22.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:16:22.906Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:16:22.906Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:16:22.906Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:16:22.907Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:16:22.907Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21331.074 ms) ====== [2025-10-31T13:16:22.907Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-31T13:16:22.907Z] GC before operation: completed in 240.092 ms, heap usage 530.936 MB -> 92.785 MB. [2025-10-31T13:16:26.593Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:16:29.438Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:16:33.146Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:16:36.364Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:16:38.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:16:39.772Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:16:41.824Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:16:43.846Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:16:44.469Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:16:44.469Z] The best model improves the baseline by 14.34%. [2025-10-31T13:16:44.469Z] Top recommended movies for user id 72: [2025-10-31T13:16:44.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:16:44.469Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:16:44.469Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:16:44.469Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:16:44.469Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:16:44.469Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21353.822 ms) ====== [2025-10-31T13:16:44.469Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-31T13:16:44.469Z] GC before operation: completed in 204.650 ms, heap usage 448.696 MB -> 92.567 MB. [2025-10-31T13:16:48.169Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:16:50.988Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:16:53.772Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:16:56.531Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:16:58.525Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:16:59.817Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:17:01.823Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:17:03.088Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:17:03.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:17:03.702Z] The best model improves the baseline by 14.34%. [2025-10-31T13:17:03.702Z] Top recommended movies for user id 72: [2025-10-31T13:17:03.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:17:03.702Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:17:03.702Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:17:03.702Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:17:03.702Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:17:03.702Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19247.670 ms) ====== [2025-10-31T13:17:03.702Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-31T13:17:03.702Z] GC before operation: completed in 155.258 ms, heap usage 161.525 MB -> 89.081 MB. [2025-10-31T13:17:06.619Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:17:09.472Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:17:12.247Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:17:15.016Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:17:16.296Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:17:18.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:17:19.533Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:17:21.508Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:17:21.508Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:17:21.508Z] The best model improves the baseline by 14.34%. [2025-10-31T13:17:21.508Z] Top recommended movies for user id 72: [2025-10-31T13:17:21.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:17:21.508Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:17:21.508Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:17:21.508Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:17:21.508Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:17:21.508Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17780.130 ms) ====== [2025-10-31T13:17:21.508Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-31T13:17:22.121Z] GC before operation: completed in 174.936 ms, heap usage 243.991 MB -> 89.012 MB. [2025-10-31T13:17:24.894Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:17:27.272Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:17:30.511Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:17:32.578Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:17:34.595Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:17:35.874Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:17:37.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:17:39.142Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:17:39.763Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:17:39.763Z] The best model improves the baseline by 14.34%. [2025-10-31T13:17:39.763Z] Top recommended movies for user id 72: [2025-10-31T13:17:39.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:17:39.763Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:17:39.764Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:17:39.764Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:17:39.764Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:17:39.764Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17841.030 ms) ====== [2025-10-31T13:17:39.764Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-31T13:17:39.764Z] GC before operation: completed in 220.782 ms, heap usage 388.036 MB -> 89.438 MB. [2025-10-31T13:17:43.452Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:17:46.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:17:49.325Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:17:52.151Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:17:53.445Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:17:55.494Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:17:56.779Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:17:58.792Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:17:58.792Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:17:59.404Z] The best model improves the baseline by 14.34%. [2025-10-31T13:17:59.404Z] Top recommended movies for user id 72: [2025-10-31T13:17:59.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:17:59.404Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:17:59.404Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:17:59.404Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:17:59.404Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:17:59.404Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19319.988 ms) ====== [2025-10-31T13:17:59.404Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-31T13:17:59.404Z] GC before operation: completed in 247.066 ms, heap usage 217.848 MB -> 88.927 MB. [2025-10-31T13:18:02.232Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:18:04.994Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:18:08.082Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:18:10.831Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:18:12.173Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:18:14.187Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:18:16.238Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:18:17.543Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:18:17.543Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:18:18.175Z] The best model improves the baseline by 14.34%. [2025-10-31T13:18:18.175Z] Top recommended movies for user id 72: [2025-10-31T13:18:18.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:18:18.175Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:18:18.175Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:18:18.175Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:18:18.175Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:18:18.175Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18496.106 ms) ====== [2025-10-31T13:18:18.175Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-31T13:18:18.175Z] GC before operation: completed in 203.797 ms, heap usage 310.183 MB -> 89.336 MB. [2025-10-31T13:18:21.851Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T13:18:23.884Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T13:18:26.743Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T13:18:28.794Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T13:18:30.745Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T13:18:31.983Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T13:18:33.264Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T13:18:34.567Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T13:18:35.189Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T13:18:35.189Z] The best model improves the baseline by 14.34%. [2025-10-31T13:18:35.189Z] Top recommended movies for user id 72: [2025-10-31T13:18:35.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T13:18:35.189Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T13:18:35.189Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T13:18:35.189Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T13:18:35.189Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T13:18:35.189Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16953.925 ms) ====== [2025-10-31T13:18:35.805Z] ----------------------------------- [2025-10-31T13:18:35.805Z] renaissance-movie-lens_0_PASSED [2025-10-31T13:18:35.805Z] ----------------------------------- [2025-10-31T13:18:35.805Z] [2025-10-31T13:18:35.805Z] TEST TEARDOWN: [2025-10-31T13:18:35.805Z] Nothing to be done for teardown. [2025-10-31T13:18:35.805Z] renaissance-movie-lens_0 Finish Time: Fri Oct 31 13:18:35 2025 Epoch Time (ms): 1761916715212