[2026-01-24T13:05:03.264Z] Running test renaissance-movie-lens_0 ... [2026-01-24T13:05:03.264Z] =============================================== [2026-01-24T13:05:03.264Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 13:05:02 2026 Epoch Time (ms): 1769259902731 [2026-01-24T13:05:03.264Z] variation: NoOptions [2026-01-24T13:05:03.264Z] JVM_OPTIONS: [2026-01-24T13:05:03.264Z] { \ [2026-01-24T13:05:03.264Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T13:05:03.264Z] echo "Nothing to be done for setup."; \ [2026-01-24T13:05:03.264Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692586428216/renaissance-movie-lens_0"; \ [2026-01-24T13:05:03.264Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692586428216/renaissance-movie-lens_0"; \ [2026-01-24T13:05:03.264Z] echo ""; echo "TESTING:"; \ [2026-01-24T13:05:03.264Z] "/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_17692586428216/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T13:05:03.264Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692586428216/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T13:05:03.264Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T13:05:03.264Z] echo "Nothing to be done for teardown."; \ [2026-01-24T13:05:03.264Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17692586428216/TestTargetResult"; [2026-01-24T13:05:03.264Z] [2026-01-24T13:05:03.264Z] TEST SETUP: [2026-01-24T13:05:03.264Z] Nothing to be done for setup. [2026-01-24T13:05:03.264Z] [2026-01-24T13:05:03.264Z] TESTING: [2026-01-24T13:05:03.264Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T13:05:03.264Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17692586428216/renaissance-movie-lens_0/launcher-130502-16720896800217148133/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T13:05:03.264Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T13:05:03.264Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T13:05:06.976Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-24T13:05:12.782Z] 13:05:11.949 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-24T13:05:14.826Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T13:05:15.453Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T13:05:15.453Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T13:05:16.090Z] GC before operation: completed in 204.765 ms, heap usage 126.760 MB -> 75.732 MB. [2026-01-24T13:05:21.965Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:05:27.919Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:05:32.039Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:05:35.842Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:05:37.887Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:05:39.946Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:05:41.965Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:05:44.008Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:05:44.008Z] 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. [2026-01-24T13:05:44.008Z] The best model improves the baseline by 14.34%. [2026-01-24T13:05:44.650Z] Top recommended movies for user id 72: [2026-01-24T13:05:44.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:05:44.650Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:05:44.650Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:05:44.650Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:05:44.650Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:05:44.650Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28551.254 ms) ====== [2026-01-24T13:05:44.650Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T13:05:44.650Z] GC before operation: completed in 154.417 ms, heap usage 182.633 MB -> 91.463 MB. [2026-01-24T13:05:48.409Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:05:51.416Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:05:55.310Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:05:58.276Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:05:59.574Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:06:01.659Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:06:03.731Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:06:05.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:06:05.706Z] 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. [2026-01-24T13:06:05.706Z] The best model improves the baseline by 14.34%. [2026-01-24T13:06:05.706Z] Top recommended movies for user id 72: [2026-01-24T13:06:05.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:06:05.706Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:06:05.706Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:06:05.706Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:06:05.706Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:06:05.706Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21269.850 ms) ====== [2026-01-24T13:06:05.706Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T13:06:05.706Z] GC before operation: completed in 158.411 ms, heap usage 208.646 MB -> 87.919 MB. [2026-01-24T13:06:08.615Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:06:12.392Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:06:15.285Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:06:18.200Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:06:19.609Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:06:21.665Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:06:22.970Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:06:25.066Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:06:25.785Z] 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. [2026-01-24T13:06:25.785Z] The best model improves the baseline by 14.34%. [2026-01-24T13:06:25.785Z] Top recommended movies for user id 72: [2026-01-24T13:06:25.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:06:25.785Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:06:25.785Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:06:25.785Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:06:25.785Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:06:25.785Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19627.393 ms) ====== [2026-01-24T13:06:25.785Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T13:06:25.785Z] GC before operation: completed in 215.019 ms, heap usage 281.919 MB -> 88.687 MB. [2026-01-24T13:06:28.688Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:06:31.682Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:06:35.880Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:06:37.925Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:06:40.069Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:06:42.099Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:06:44.168Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:06:46.221Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:06:46.221Z] 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. [2026-01-24T13:06:46.221Z] The best model improves the baseline by 14.34%. [2026-01-24T13:06:46.221Z] Top recommended movies for user id 72: [2026-01-24T13:06:46.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:06:46.221Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:06:46.221Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:06:46.221Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:06:46.221Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:06:46.221Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20464.952 ms) ====== [2026-01-24T13:06:46.221Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T13:06:46.221Z] GC before operation: completed in 214.563 ms, heap usage 262.300 MB -> 88.951 MB. [2026-01-24T13:06:49.992Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:06:52.910Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:06:56.650Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:06:59.549Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:07:01.602Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:07:03.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:07:05.706Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:07:07.001Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:07:07.618Z] 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. [2026-01-24T13:07:07.618Z] The best model improves the baseline by 14.34%. [2026-01-24T13:07:07.618Z] Top recommended movies for user id 72: [2026-01-24T13:07:07.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:07:07.618Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:07:07.618Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:07:07.618Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:07:07.618Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:07:07.618Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21440.318 ms) ====== [2026-01-24T13:07:07.618Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T13:07:08.269Z] GC before operation: completed in 190.031 ms, heap usage 441.657 MB -> 92.455 MB. [2026-01-24T13:07:11.177Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:07:14.059Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:07:17.783Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:07:19.846Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:07:21.908Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:07:23.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:07:25.271Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:07:27.307Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:07:27.307Z] 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. [2026-01-24T13:07:27.307Z] The best model improves the baseline by 14.34%. [2026-01-24T13:07:27.307Z] Top recommended movies for user id 72: [2026-01-24T13:07:27.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:07:27.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:07:27.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:07:27.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:07:27.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:07:27.307Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19197.816 ms) ====== [2026-01-24T13:07:27.307Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T13:07:27.307Z] GC before operation: completed in 156.864 ms, heap usage 433.007 MB -> 92.731 MB. [2026-01-24T13:07:30.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:07:33.054Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:07:36.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:07:38.883Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:07:40.910Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:07:42.201Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:07:44.218Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:07:45.563Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:07:45.563Z] 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. [2026-01-24T13:07:45.563Z] The best model improves the baseline by 14.34%. [2026-01-24T13:07:46.198Z] Top recommended movies for user id 72: [2026-01-24T13:07:46.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:07:46.198Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:07:46.198Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:07:46.198Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:07:46.198Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:07:46.198Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18509.542 ms) ====== [2026-01-24T13:07:46.198Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T13:07:46.198Z] GC before operation: completed in 173.931 ms, heap usage 179.702 MB -> 89.051 MB. [2026-01-24T13:07:49.034Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:07:51.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:07:54.295Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:07:56.327Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:07:58.427Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:07:59.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:08:01.849Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:08:03.927Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:08:03.927Z] 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. [2026-01-24T13:08:03.927Z] The best model improves the baseline by 14.34%. [2026-01-24T13:08:03.927Z] Top recommended movies for user id 72: [2026-01-24T13:08:03.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:08:03.927Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:08:03.927Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:08:03.927Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:08:03.927Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:08:03.927Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17794.050 ms) ====== [2026-01-24T13:08:03.927Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T13:08:03.928Z] GC before operation: completed in 173.077 ms, heap usage 144.877 MB -> 89.286 MB. [2026-01-24T13:08:06.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:08:09.619Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:08:12.544Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:08:14.609Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:08:16.670Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:08:18.022Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:08:19.322Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:08:21.424Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:08:21.424Z] 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. [2026-01-24T13:08:21.424Z] The best model improves the baseline by 14.34%. [2026-01-24T13:08:22.065Z] Top recommended movies for user id 72: [2026-01-24T13:08:22.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:08:22.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:08:22.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:08:22.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:08:22.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:08:22.065Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17804.803 ms) ====== [2026-01-24T13:08:22.065Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T13:08:22.065Z] GC before operation: completed in 166.740 ms, heap usage 231.215 MB -> 89.277 MB. [2026-01-24T13:08:25.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:08:27.965Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:08:30.859Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:08:33.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:08:35.891Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:08:37.201Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:08:39.274Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:08:41.377Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:08:41.378Z] 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. [2026-01-24T13:08:41.378Z] The best model improves the baseline by 14.34%. [2026-01-24T13:08:41.378Z] Top recommended movies for user id 72: [2026-01-24T13:08:41.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:08:41.378Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:08:41.378Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:08:41.378Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:08:41.378Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:08:41.378Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19448.665 ms) ====== [2026-01-24T13:08:41.378Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T13:08:42.018Z] GC before operation: completed in 208.148 ms, heap usage 161.891 MB -> 89.357 MB. [2026-01-24T13:08:45.008Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:08:47.957Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:08:50.889Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:08:53.832Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:08:55.937Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:08:58.039Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:09:00.150Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:09:01.455Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:09:02.117Z] 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. [2026-01-24T13:09:02.117Z] The best model improves the baseline by 14.34%. [2026-01-24T13:09:02.117Z] Top recommended movies for user id 72: [2026-01-24T13:09:02.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:09:02.117Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:09:02.117Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:09:02.117Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:09:02.117Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:09:02.117Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20327.862 ms) ====== [2026-01-24T13:09:02.117Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T13:09:02.117Z] GC before operation: completed in 194.531 ms, heap usage 231.060 MB -> 89.293 MB. [2026-01-24T13:09:05.064Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:09:08.093Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:09:11.413Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:09:14.379Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:09:16.463Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:09:17.819Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:09:19.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:09:22.129Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:09:22.129Z] 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. [2026-01-24T13:09:22.799Z] The best model improves the baseline by 14.34%. [2026-01-24T13:09:22.799Z] Top recommended movies for user id 72: [2026-01-24T13:09:22.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:09:22.799Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:09:22.799Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:09:22.799Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:09:22.799Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:09:22.799Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20343.035 ms) ====== [2026-01-24T13:09:22.799Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T13:09:22.799Z] GC before operation: completed in 176.606 ms, heap usage 140.446 MB -> 89.344 MB. [2026-01-24T13:09:25.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:09:28.785Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:09:31.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:09:34.858Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:09:36.928Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:09:38.971Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:09:40.292Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:09:42.378Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:09:42.378Z] 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. [2026-01-24T13:09:42.378Z] The best model improves the baseline by 14.34%. [2026-01-24T13:09:42.378Z] Top recommended movies for user id 72: [2026-01-24T13:09:42.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:09:42.378Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:09:42.378Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:09:42.378Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:09:42.378Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:09:42.378Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19851.863 ms) ====== [2026-01-24T13:09:42.378Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T13:09:43.014Z] GC before operation: completed in 161.612 ms, heap usage 309.210 MB -> 89.758 MB. [2026-01-24T13:09:45.958Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:09:48.933Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:09:51.853Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:09:54.821Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:09:56.128Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:09:57.530Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:09:59.615Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:10:01.656Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:10:01.656Z] 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. [2026-01-24T13:10:01.656Z] The best model improves the baseline by 14.34%. [2026-01-24T13:10:01.656Z] Top recommended movies for user id 72: [2026-01-24T13:10:01.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:10:01.656Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:10:01.656Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:10:01.656Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:10:01.656Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:10:01.656Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18889.024 ms) ====== [2026-01-24T13:10:01.656Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T13:10:01.656Z] GC before operation: completed in 194.847 ms, heap usage 198.277 MB -> 89.391 MB. [2026-01-24T13:10:04.504Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:10:07.448Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:10:10.310Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:10:12.369Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:10:13.673Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:10:14.299Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:10:16.088Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:10:18.146Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:10:18.146Z] 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. [2026-01-24T13:10:18.146Z] The best model improves the baseline by 14.34%. [2026-01-24T13:10:18.146Z] Top recommended movies for user id 72: [2026-01-24T13:10:18.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:10:18.146Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:10:18.146Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:10:18.146Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:10:18.146Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:10:18.146Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16252.968 ms) ====== [2026-01-24T13:10:18.146Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T13:10:18.146Z] GC before operation: completed in 168.366 ms, heap usage 162.193 MB -> 89.591 MB. [2026-01-24T13:10:21.121Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:10:23.163Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:10:26.072Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:10:28.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:10:29.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:10:30.698Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:10:31.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:10:33.298Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:10:33.931Z] 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. [2026-01-24T13:10:33.931Z] The best model improves the baseline by 14.34%. [2026-01-24T13:10:33.931Z] Top recommended movies for user id 72: [2026-01-24T13:10:33.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:10:33.931Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:10:33.931Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:10:33.931Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:10:33.931Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:10:33.932Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15529.894 ms) ====== [2026-01-24T13:10:33.932Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T13:10:33.932Z] GC before operation: completed in 159.725 ms, heap usage 203.566 MB -> 89.461 MB. [2026-01-24T13:10:36.749Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:10:38.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:10:42.604Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:10:44.633Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:10:45.932Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:10:47.216Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:10:49.276Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:10:50.577Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:10:50.577Z] 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. [2026-01-24T13:10:50.577Z] The best model improves the baseline by 14.34%. [2026-01-24T13:10:51.209Z] Top recommended movies for user id 72: [2026-01-24T13:10:51.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:10:51.209Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:10:51.209Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:10:51.209Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:10:51.209Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:10:51.209Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16984.909 ms) ====== [2026-01-24T13:10:51.209Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T13:10:51.209Z] GC before operation: completed in 167.223 ms, heap usage 141.045 MB -> 89.459 MB. [2026-01-24T13:10:54.039Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:10:56.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:10:58.955Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:11:00.981Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:11:02.353Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:11:04.430Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:11:05.741Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:11:07.096Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:11:07.789Z] 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. [2026-01-24T13:11:07.789Z] The best model improves the baseline by 14.34%. [2026-01-24T13:11:07.789Z] Top recommended movies for user id 72: [2026-01-24T13:11:07.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:11:07.789Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:11:07.789Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:11:07.789Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:11:07.789Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:11:07.789Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16636.155 ms) ====== [2026-01-24T13:11:07.789Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T13:11:07.789Z] GC before operation: completed in 150.869 ms, heap usage 169.769 MB -> 89.365 MB. [2026-01-24T13:11:10.742Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:11:13.700Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:11:16.638Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:11:19.599Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:11:21.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:11:23.084Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:11:25.161Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:11:27.269Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:11:27.269Z] 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. [2026-01-24T13:11:27.900Z] The best model improves the baseline by 14.34%. [2026-01-24T13:11:27.900Z] Top recommended movies for user id 72: [2026-01-24T13:11:27.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:11:27.900Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:11:27.900Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:11:27.900Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:11:27.900Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:11:27.900Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19829.668 ms) ====== [2026-01-24T13:11:27.900Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T13:11:27.900Z] GC before operation: completed in 230.748 ms, heap usage 235.993 MB -> 89.555 MB. [2026-01-24T13:11:30.857Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:11:34.234Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:11:38.165Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:11:41.088Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:11:43.207Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:11:44.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:11:46.755Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:11:48.920Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:11:48.920Z] 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. [2026-01-24T13:11:48.920Z] The best model improves the baseline by 14.34%. [2026-01-24T13:11:48.920Z] Top recommended movies for user id 72: [2026-01-24T13:11:48.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-24T13:11:48.920Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-24T13:11:48.920Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-24T13:11:48.920Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-24T13:11:48.920Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-24T13:11:48.920Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21196.991 ms) ====== [2026-01-24T13:11:49.590Z] ----------------------------------- [2026-01-24T13:11:49.590Z] renaissance-movie-lens_0_PASSED [2026-01-24T13:11:49.590Z] ----------------------------------- [2026-01-24T13:11:49.590Z] [2026-01-24T13:11:49.590Z] TEST TEARDOWN: [2026-01-24T13:11:49.590Z] Nothing to be done for teardown. [2026-01-24T13:11:49.590Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 13:11:49 2026 Epoch Time (ms): 1769260309326