[2025-10-23T22:28:17.276Z] Running test renaissance-movie-lens_0 ... [2025-10-23T22:28:17.276Z] =============================================== [2025-10-23T22:28:17.276Z] renaissance-movie-lens_0 Start Time: Thu Oct 23 22:28:17 2025 Epoch Time (ms): 1761258497009 [2025-10-23T22:28:17.276Z] variation: NoOptions [2025-10-23T22:28:17.276Z] JVM_OPTIONS: [2025-10-23T22:28:17.276Z] { \ [2025-10-23T22:28:17.276Z] echo ""; echo "TEST SETUP:"; \ [2025-10-23T22:28:17.276Z] echo "Nothing to be done for setup."; \ [2025-10-23T22:28:17.276Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1761256631732/renaissance-movie-lens_0"; \ [2025-10-23T22:28:17.276Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1761256631732/renaissance-movie-lens_0"; \ [2025-10-23T22:28:17.276Z] echo ""; echo "TESTING:"; \ [2025-10-23T22:28:17.276Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/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_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1761256631732/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-23T22:28:17.276Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1761256631732/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-23T22:28:17.276Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-23T22:28:17.276Z] echo "Nothing to be done for teardown."; \ [2025-10-23T22:28:17.276Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1761256631732/TestTargetResult"; [2025-10-23T22:28:17.276Z] [2025-10-23T22:28:17.276Z] TEST SETUP: [2025-10-23T22:28:17.276Z] Nothing to be done for setup. [2025-10-23T22:28:17.276Z] [2025-10-23T22:28:17.276Z] TESTING: [2025-10-23T22:28:19.776Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-23T22:28:19.777Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_1761256631732/renaissance-movie-lens_0/launcher-222817-7941056457319131978/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-23T22:28:19.777Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-23T22:28:19.777Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-23T22:30:08.731Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2025-10-23T22:30:20.801Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-23T22:30:20.802Z] Training: 60056, validation: 20285, test: 19854 [2025-10-23T22:30:20.802Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-23T22:30:20.802Z] GC before operation: completed in 159.007 ms, heap usage 411.165 MB -> 75.419 MB. [2025-10-23T22:30:27.751Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:30:33.456Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:30:45.258Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:30:49.805Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:30:51.418Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:30:53.958Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:30:56.471Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:30:59.000Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:30:59.000Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:30:59.000Z] The best model improves the baseline by 14.43%. [2025-10-23T22:30:59.000Z] Top recommended movies for user id 72: [2025-10-23T22:30:59.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:30:59.000Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:30:59.000Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:30:59.000Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:30:59.000Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:30:59.000Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38298.200 ms) ====== [2025-10-23T22:30:59.000Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-23T22:30:59.784Z] GC before operation: completed in 183.781 ms, heap usage 716.080 MB -> 92.863 MB. [2025-10-23T22:31:03.255Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:31:06.721Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:31:11.256Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:31:14.735Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:31:17.251Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:31:18.874Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:31:23.395Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:31:25.924Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:31:25.924Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:31:25.924Z] The best model improves the baseline by 14.43%. [2025-10-23T22:31:25.924Z] Top recommended movies for user id 72: [2025-10-23T22:31:25.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:31:25.924Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:31:25.924Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:31:25.924Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:31:25.924Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:31:25.924Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26687.060 ms) ====== [2025-10-23T22:31:25.924Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-23T22:31:26.709Z] GC before operation: completed in 178.533 ms, heap usage 605.161 MB -> 90.022 MB. [2025-10-23T22:31:30.196Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:31:34.727Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:31:41.687Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:31:45.176Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:31:48.644Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:31:53.396Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:32:03.381Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:32:05.011Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:32:05.792Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:32:05.792Z] The best model improves the baseline by 14.43%. [2025-10-23T22:32:05.792Z] Top recommended movies for user id 72: [2025-10-23T22:32:05.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:32:05.792Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:32:05.792Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:32:05.792Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:32:05.792Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:32:05.792Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39422.933 ms) ====== [2025-10-23T22:32:05.792Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-23T22:32:05.792Z] GC before operation: completed in 203.206 ms, heap usage 1.502 GB -> 95.860 MB. [2025-10-23T22:32:09.277Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:32:14.952Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:32:29.017Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:32:31.537Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:32:34.038Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:32:35.650Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:32:39.123Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:32:41.637Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:32:41.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:32:41.637Z] The best model improves the baseline by 14.43%. [2025-10-23T22:32:41.637Z] Top recommended movies for user id 72: [2025-10-23T22:32:41.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:32:41.637Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:32:41.637Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:32:41.637Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:32:41.637Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:32:41.637Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (35761.679 ms) ====== [2025-10-23T22:32:41.637Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-23T22:32:41.637Z] GC before operation: completed in 218.343 ms, heap usage 2.725 GB -> 97.091 MB. [2025-10-23T22:32:45.101Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:32:48.565Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:32:55.540Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:32:59.010Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:33:00.627Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:33:03.128Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:33:14.897Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:33:17.421Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:33:18.201Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:33:18.201Z] The best model improves the baseline by 14.43%. [2025-10-23T22:33:18.201Z] Top recommended movies for user id 72: [2025-10-23T22:33:18.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:33:18.201Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:33:18.201Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:33:18.201Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:33:18.201Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:33:18.201Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36304.749 ms) ====== [2025-10-23T22:33:18.201Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-23T22:33:18.201Z] GC before operation: completed in 185.369 ms, heap usage 2.748 GB -> 97.020 MB. [2025-10-23T22:33:22.719Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:33:28.018Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:33:32.536Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:33:35.044Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:33:36.655Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:33:39.156Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:33:42.626Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:33:44.242Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:33:45.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:33:45.021Z] The best model improves the baseline by 14.43%. [2025-10-23T22:33:45.021Z] Top recommended movies for user id 72: [2025-10-23T22:33:45.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:33:45.021Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:33:45.021Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:33:45.021Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:33:45.021Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:33:45.021Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26401.722 ms) ====== [2025-10-23T22:33:45.021Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-23T22:33:45.021Z] GC before operation: completed in 143.585 ms, heap usage 550.938 MB -> 91.274 MB. [2025-10-23T22:33:48.491Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:33:51.976Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:33:57.653Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:34:01.139Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:34:02.750Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:34:04.378Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:34:08.901Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:34:10.542Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:34:10.542Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:34:10.542Z] The best model improves the baseline by 14.43%. [2025-10-23T22:34:11.328Z] Top recommended movies for user id 72: [2025-10-23T22:34:11.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:34:11.328Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:34:11.328Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:34:11.328Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:34:11.328Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:34:11.328Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25953.382 ms) ====== [2025-10-23T22:34:11.328Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-23T22:34:11.328Z] GC before operation: completed in 158.582 ms, heap usage 2.717 GB -> 97.029 MB. [2025-10-23T22:34:14.796Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:34:18.275Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:34:32.149Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:34:34.658Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:34:37.161Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:34:39.676Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:34:42.186Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:34:43.798Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:34:43.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:34:43.798Z] The best model improves the baseline by 14.43%. [2025-10-23T22:34:43.798Z] Top recommended movies for user id 72: [2025-10-23T22:34:43.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:34:43.798Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:34:43.798Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:34:43.798Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:34:43.798Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:34:43.798Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (32959.792 ms) ====== [2025-10-23T22:34:43.798Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-23T22:34:44.577Z] GC before operation: completed in 158.828 ms, heap usage 2.603 GB -> 97.515 MB. [2025-10-23T22:34:47.084Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:34:49.600Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:34:54.115Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:34:57.597Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:35:00.649Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:35:01.436Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:35:03.945Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:35:05.600Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:35:05.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:35:05.600Z] The best model improves the baseline by 14.43%. [2025-10-23T22:35:05.600Z] Top recommended movies for user id 72: [2025-10-23T22:35:05.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:35:05.600Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:35:05.600Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:35:05.600Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:35:05.600Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:35:05.600Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21593.489 ms) ====== [2025-10-23T22:35:05.600Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-23T22:35:06.387Z] GC before operation: completed in 170.187 ms, heap usage 3.215 GB -> 97.234 MB. [2025-10-23T22:35:08.897Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:35:12.365Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:35:19.317Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:35:21.818Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:35:24.331Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:35:25.941Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:35:28.451Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:35:30.102Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:35:30.882Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:35:30.882Z] The best model improves the baseline by 14.43%. [2025-10-23T22:35:30.882Z] Top recommended movies for user id 72: [2025-10-23T22:35:30.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:35:30.882Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:35:30.882Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:35:30.882Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:35:30.882Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:35:30.882Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24767.944 ms) ====== [2025-10-23T22:35:30.882Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-23T22:35:30.882Z] GC before operation: completed in 124.134 ms, heap usage 3.251 GB -> 97.654 MB. [2025-10-23T22:35:33.384Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:35:36.846Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:35:50.708Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:35:55.225Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:35:57.754Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:36:00.264Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:36:03.764Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:36:04.548Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:36:05.345Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:36:05.345Z] The best model improves the baseline by 14.43%. [2025-10-23T22:36:05.345Z] Top recommended movies for user id 72: [2025-10-23T22:36:05.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:36:05.345Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:36:05.345Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:36:05.345Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:36:05.345Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:36:05.345Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34478.223 ms) ====== [2025-10-23T22:36:05.345Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-23T22:36:05.345Z] GC before operation: completed in 137.466 ms, heap usage 2.665 GB -> 97.066 MB. [2025-10-23T22:36:08.805Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:36:11.312Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:36:16.979Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:36:20.449Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:36:22.072Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:36:23.683Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:36:26.187Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:36:29.058Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:36:29.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:36:29.842Z] The best model improves the baseline by 14.43%. [2025-10-23T22:36:29.842Z] Top recommended movies for user id 72: [2025-10-23T22:36:29.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:36:29.842Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:36:29.842Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:36:29.842Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:36:29.842Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:36:29.842Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23402.713 ms) ====== [2025-10-23T22:36:29.842Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-23T22:36:29.842Z] GC before operation: completed in 134.608 ms, heap usage 3.232 GB -> 97.550 MB. [2025-10-23T22:36:31.456Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:36:34.925Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:36:40.602Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:36:44.104Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:36:45.713Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:36:47.323Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:36:54.263Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:36:55.890Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:36:55.890Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:36:55.890Z] The best model improves the baseline by 14.43%. [2025-10-23T22:36:55.890Z] Top recommended movies for user id 72: [2025-10-23T22:36:55.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:36:55.890Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:36:55.890Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:36:55.890Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:36:55.890Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:36:55.890Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (27191.361 ms) ====== [2025-10-23T22:36:55.890Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-23T22:36:56.667Z] GC before operation: completed in 136.144 ms, heap usage 3.201 GB -> 97.536 MB. [2025-10-23T22:37:00.126Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:37:07.040Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:37:26.142Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:37:26.931Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:37:29.419Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:37:31.018Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:37:36.652Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:37:38.253Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:37:38.253Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:37:38.253Z] The best model improves the baseline by 14.43%. [2025-10-23T22:37:38.253Z] Top recommended movies for user id 72: [2025-10-23T22:37:38.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:37:38.253Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:37:38.253Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:37:38.253Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:37:38.253Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:37:38.253Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (42055.643 ms) ====== [2025-10-23T22:37:38.253Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-23T22:37:38.253Z] GC before operation: completed in 137.880 ms, heap usage 3.241 GB -> 97.352 MB. [2025-10-23T22:37:41.697Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:37:46.209Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:37:53.108Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:37:56.600Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:37:59.085Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:38:00.693Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:38:05.076Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:38:06.362Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:38:07.146Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:38:07.146Z] The best model improves the baseline by 14.43%. [2025-10-23T22:38:07.146Z] Top recommended movies for user id 72: [2025-10-23T22:38:07.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:38:07.146Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:38:07.146Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:38:07.146Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:38:07.146Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:38:07.146Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (28579.567 ms) ====== [2025-10-23T22:38:07.146Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-23T22:38:07.146Z] GC before operation: completed in 140.531 ms, heap usage 3.224 GB -> 97.613 MB. [2025-10-23T22:38:10.598Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:38:14.048Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:38:19.689Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:38:22.188Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:38:25.629Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:38:28.124Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:38:32.606Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:38:35.095Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:38:35.095Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:38:35.095Z] The best model improves the baseline by 14.43%. [2025-10-23T22:38:35.869Z] Top recommended movies for user id 72: [2025-10-23T22:38:35.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:38:35.869Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:38:35.869Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:38:35.869Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:38:35.869Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:38:35.869Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28228.588 ms) ====== [2025-10-23T22:38:35.869Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-23T22:38:35.869Z] GC before operation: completed in 128.475 ms, heap usage 3.139 GB -> 97.474 MB. [2025-10-23T22:38:38.355Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:38:41.806Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:38:48.708Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:38:52.166Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:38:53.802Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:38:55.410Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:38:58.881Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:39:00.481Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:39:00.481Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:39:00.481Z] The best model improves the baseline by 14.43%. [2025-10-23T22:39:01.258Z] Top recommended movies for user id 72: [2025-10-23T22:39:01.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:39:01.258Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:39:01.258Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:39:01.258Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:39:01.258Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:39:01.258Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25237.603 ms) ====== [2025-10-23T22:39:01.258Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-23T22:39:01.258Z] GC before operation: completed in 127.152 ms, heap usage 3.201 GB -> 97.508 MB. [2025-10-23T22:39:03.739Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:39:07.188Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:39:14.095Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:39:15.695Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:39:18.179Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:39:19.779Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:39:23.227Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:39:24.825Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:39:24.825Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:39:24.825Z] The best model improves the baseline by 14.43%. [2025-10-23T22:39:25.599Z] Top recommended movies for user id 72: [2025-10-23T22:39:25.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:39:25.599Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:39:25.599Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:39:25.599Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:39:25.599Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:39:25.599Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24374.682 ms) ====== [2025-10-23T22:39:25.599Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-23T22:39:25.599Z] GC before operation: completed in 126.665 ms, heap usage 2.744 GB -> 97.419 MB. [2025-10-23T22:39:29.036Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:39:33.541Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:39:47.417Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:39:49.020Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:39:51.538Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:39:53.144Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:39:57.646Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:40:00.161Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:40:00.161Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:40:00.161Z] The best model improves the baseline by 14.43%. [2025-10-23T22:40:00.161Z] Top recommended movies for user id 72: [2025-10-23T22:40:00.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:40:00.161Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:40:00.161Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:40:00.161Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:40:00.161Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:40:00.161Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (34842.003 ms) ====== [2025-10-23T22:40:00.161Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-23T22:40:00.161Z] GC before operation: completed in 122.899 ms, heap usage 2.627 GB -> 97.458 MB. [2025-10-23T22:40:03.632Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-23T22:40:06.113Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-23T22:40:13.026Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-23T22:40:15.518Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-23T22:40:17.118Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-23T22:40:18.726Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-23T22:40:22.190Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-23T22:40:24.686Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-23T22:40:24.686Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-23T22:40:24.686Z] The best model improves the baseline by 14.43%. [2025-10-23T22:40:24.686Z] Top recommended movies for user id 72: [2025-10-23T22:40:24.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-23T22:40:24.686Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-23T22:40:24.686Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-23T22:40:24.686Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-23T22:40:24.686Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-23T22:40:24.686Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24303.524 ms) ====== [2025-10-23T22:40:25.462Z] ----------------------------------- [2025-10-23T22:40:25.462Z] renaissance-movie-lens_0_PASSED [2025-10-23T22:40:25.462Z] ----------------------------------- [2025-10-23T22:40:25.462Z] [2025-10-23T22:40:25.462Z] TEST TEARDOWN: [2025-10-23T22:40:25.462Z] Nothing to be done for teardown. [2025-10-23T22:40:25.462Z] renaissance-movie-lens_0 Finish Time: Thu Oct 23 22:40:25 2025 Epoch Time (ms): 1761259225277