[2025-10-22T12:28:16.682Z] Running test renaissance-movie-lens_0 ... [2025-10-22T12:28:16.682Z] =============================================== [2025-10-22T12:28:16.682Z] renaissance-movie-lens_0 Start Time: Wed Oct 22 12:28:16 2025 Epoch Time (ms): 1761136096534 [2025-10-22T12:28:16.682Z] variation: NoOptions [2025-10-22T12:28:16.682Z] JVM_OPTIONS: [2025-10-22T12:28:16.682Z] { \ [2025-10-22T12:28:16.682Z] echo ""; echo "TEST SETUP:"; \ [2025-10-22T12:28:16.682Z] echo "Nothing to be done for setup."; \ [2025-10-22T12:28:16.682Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17611342877627/renaissance-movie-lens_0"; \ [2025-10-22T12:28:16.682Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17611342877627/renaissance-movie-lens_0"; \ [2025-10-22T12:28:16.682Z] echo ""; echo "TESTING:"; \ [2025-10-22T12:28:16.682Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17611342877627/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-22T12:28:16.682Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17611342877627/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-22T12:28:16.682Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-22T12:28:16.682Z] echo "Nothing to be done for teardown."; \ [2025-10-22T12:28:16.682Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17611342877627/TestTargetResult"; [2025-10-22T12:28:16.682Z] [2025-10-22T12:28:16.682Z] TEST SETUP: [2025-10-22T12:28:16.682Z] Nothing to be done for setup. [2025-10-22T12:28:16.682Z] [2025-10-22T12:28:16.682Z] TESTING: [2025-10-22T12:28:17.009Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-22T12:28:17.009Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17611342877627/renaissance-movie-lens_0/launcher-122816-3085741141194062022/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-22T12:28:17.009Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-22T12:28:17.009Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-22T12:28:21.745Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-10-22T12:28:29.745Z] 12:28:29.259 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. [2025-10-22T12:28:32.697Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-22T12:28:33.404Z] Training: 60056, validation: 20285, test: 19854 [2025-10-22T12:28:33.404Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-22T12:28:33.733Z] GC before operation: completed in 182.113 ms, heap usage 352.786 MB -> 75.491 MB. [2025-10-22T12:28:42.643Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:28:48.612Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:28:53.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:28:57.134Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:29:01.424Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:29:01.755Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:29:04.011Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:29:06.262Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:29:06.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:29:06.592Z] The best model improves the baseline by 14.34%. [2025-10-22T12:29:06.592Z] Top recommended movies for user id 72: [2025-10-22T12:29:06.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:29:06.592Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:29:06.592Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:29:06.592Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:29:06.592Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:29:06.592Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32941.753 ms) ====== [2025-10-22T12:29:06.592Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-22T12:29:06.918Z] GC before operation: completed in 177.511 ms, heap usage 289.348 MB -> 88.900 MB. [2025-10-22T12:29:09.881Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:29:13.646Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:29:16.584Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:29:18.870Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:29:20.520Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:29:22.168Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:29:23.822Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:29:25.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:29:25.476Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:29:25.806Z] The best model improves the baseline by 14.34%. [2025-10-22T12:29:25.806Z] Top recommended movies for user id 72: [2025-10-22T12:29:25.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:29:25.806Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:29:25.806Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:29:25.806Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:29:25.806Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:29:25.806Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19081.505 ms) ====== [2025-10-22T12:29:25.806Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-22T12:29:26.136Z] GC before operation: completed in 175.354 ms, heap usage 222.569 MB -> 87.674 MB. [2025-10-22T12:29:30.007Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:29:32.957Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:29:35.901Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:29:38.154Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:29:39.865Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:29:41.011Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:29:43.259Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:29:44.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:29:45.238Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:29:45.238Z] The best model improves the baseline by 14.34%. [2025-10-22T12:29:45.567Z] Top recommended movies for user id 72: [2025-10-22T12:29:45.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:29:45.567Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:29:45.567Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:29:45.567Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:29:45.567Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:29:45.567Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19361.807 ms) ====== [2025-10-22T12:29:45.567Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-22T12:29:45.567Z] GC before operation: completed in 180.095 ms, heap usage 505.316 MB -> 92.043 MB. [2025-10-22T12:29:48.507Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:29:50.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:29:53.691Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:29:56.076Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:29:57.726Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:29:58.876Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:30:00.524Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:30:02.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:30:02.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:30:02.405Z] The best model improves the baseline by 14.34%. [2025-10-22T12:30:02.761Z] Top recommended movies for user id 72: [2025-10-22T12:30:02.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:30:02.761Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:30:02.761Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:30:02.761Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:30:02.761Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:30:02.761Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17043.739 ms) ====== [2025-10-22T12:30:02.761Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-22T12:30:02.761Z] GC before operation: completed in 177.956 ms, heap usage 118.411 MB -> 89.420 MB. [2025-10-22T12:30:05.726Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:30:08.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:30:10.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:30:13.164Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:30:14.813Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:30:15.953Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:30:17.601Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:30:19.250Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:30:19.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:30:19.250Z] The best model improves the baseline by 14.34%. [2025-10-22T12:30:19.578Z] Top recommended movies for user id 72: [2025-10-22T12:30:19.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:30:19.578Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:30:19.578Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:30:19.578Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:30:19.578Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:30:19.578Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16721.632 ms) ====== [2025-10-22T12:30:19.578Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-22T12:30:19.578Z] GC before operation: completed in 194.242 ms, heap usage 507.303 MB -> 92.300 MB. [2025-10-22T12:30:22.623Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:30:24.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:30:27.818Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:30:30.063Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:30:31.209Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:30:32.856Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:30:34.506Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:30:35.653Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:30:36.035Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:30:36.035Z] The best model improves the baseline by 14.34%. [2025-10-22T12:30:36.361Z] Top recommended movies for user id 72: [2025-10-22T12:30:36.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:30:36.361Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:30:36.361Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:30:36.361Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:30:36.361Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:30:36.361Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16574.004 ms) ====== [2025-10-22T12:30:36.361Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-22T12:30:36.361Z] GC before operation: completed in 169.332 ms, heap usage 118.265 MB -> 91.832 MB. [2025-10-22T12:30:39.504Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:30:41.750Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:30:44.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:30:46.281Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:30:48.073Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:30:49.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:30:51.442Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:30:52.586Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:30:52.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:30:52.910Z] The best model improves the baseline by 14.34%. [2025-10-22T12:30:52.910Z] Top recommended movies for user id 72: [2025-10-22T12:30:52.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:30:52.910Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:30:52.910Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:30:52.910Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:30:52.910Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:30:52.910Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16595.975 ms) ====== [2025-10-22T12:30:52.910Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-22T12:30:53.249Z] GC before operation: completed in 172.415 ms, heap usage 209.282 MB -> 88.900 MB. [2025-10-22T12:30:56.202Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:30:58.451Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:31:00.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:31:03.036Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:31:04.684Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:31:05.822Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:31:07.473Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:31:09.122Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:31:09.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:31:09.122Z] The best model improves the baseline by 14.34%. [2025-10-22T12:31:09.450Z] Top recommended movies for user id 72: [2025-10-22T12:31:09.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:31:09.450Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:31:09.450Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:31:09.450Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:31:09.450Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:31:09.450Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16082.303 ms) ====== [2025-10-22T12:31:09.450Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-22T12:31:09.450Z] GC before operation: completed in 174.136 ms, heap usage 309.164 MB -> 89.308 MB. [2025-10-22T12:31:12.407Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:31:14.150Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:31:17.295Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:31:18.984Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:31:20.653Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:31:21.798Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:31:23.454Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:31:25.113Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:31:25.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:31:25.113Z] The best model improves the baseline by 14.34%. [2025-10-22T12:31:25.461Z] Top recommended movies for user id 72: [2025-10-22T12:31:25.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:31:25.461Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:31:25.461Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:31:25.461Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:31:25.461Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:31:25.461Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15910.678 ms) ====== [2025-10-22T12:31:25.461Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-22T12:31:25.461Z] GC before operation: completed in 173.438 ms, heap usage 407.945 MB -> 89.305 MB. [2025-10-22T12:31:28.532Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:31:30.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:31:33.181Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:31:34.840Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:31:36.497Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:31:37.690Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:31:39.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:31:40.623Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:31:40.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:31:40.965Z] The best model improves the baseline by 14.34%. [2025-10-22T12:31:40.965Z] Top recommended movies for user id 72: [2025-10-22T12:31:40.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:31:40.965Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:31:40.965Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:31:40.965Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:31:40.965Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:31:40.965Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15498.558 ms) ====== [2025-10-22T12:31:40.965Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-22T12:31:43.228Z] GC before operation: completed in 169.576 ms, heap usage 149.907 MB -> 89.061 MB. [2025-10-22T12:31:44.249Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:31:46.512Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:31:48.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:31:51.073Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:32:00.090Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:32:00.090Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:32:00.090Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:32:00.090Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:32:00.090Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:32:00.090Z] The best model improves the baseline by 14.34%. [2025-10-22T12:32:00.090Z] Top recommended movies for user id 72: [2025-10-22T12:32:00.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:32:00.090Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:32:00.090Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:32:00.090Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:32:00.090Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:32:00.090Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15817.607 ms) ====== [2025-10-22T12:32:00.090Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-22T12:32:00.090Z] GC before operation: completed in 174.443 ms, heap usage 669.580 MB -> 92.955 MB. [2025-10-22T12:32:00.090Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:32:02.057Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:32:04.574Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:32:06.896Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:32:08.081Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:32:09.771Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:32:12.643Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:32:12.643Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:32:12.643Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:32:12.648Z] The best model improves the baseline by 14.34%. [2025-10-22T12:32:13.001Z] Top recommended movies for user id 72: [2025-10-22T12:32:13.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:32:13.001Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:32:13.001Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:32:13.001Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:32:13.001Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:32:13.001Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15561.840 ms) ====== [2025-10-22T12:32:13.001Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-22T12:32:13.001Z] GC before operation: completed in 177.612 ms, heap usage 509.463 MB -> 92.758 MB. [2025-10-22T12:32:15.332Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:32:17.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:32:20.234Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:32:22.639Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:32:23.821Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:32:27.122Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:32:27.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:32:28.165Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:32:28.497Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:32:28.497Z] The best model improves the baseline by 14.34%. [2025-10-22T12:32:28.497Z] Top recommended movies for user id 72: [2025-10-22T12:32:28.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:32:28.497Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:32:28.497Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:32:28.497Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:32:28.497Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:32:28.497Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15558.826 ms) ====== [2025-10-22T12:32:28.497Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-22T12:32:28.836Z] GC before operation: completed in 171.255 ms, heap usage 367.472 MB -> 89.467 MB. [2025-10-22T12:32:31.112Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:32:33.668Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:32:35.958Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:32:38.205Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:32:39.345Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:32:40.486Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:32:42.149Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:32:43.799Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:32:43.799Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:32:43.799Z] The best model improves the baseline by 14.34%. [2025-10-22T12:32:43.799Z] Top recommended movies for user id 72: [2025-10-22T12:32:43.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:32:43.799Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:32:43.799Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:32:43.799Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:32:43.799Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:32:43.799Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15236.795 ms) ====== [2025-10-22T12:32:43.799Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-22T12:32:44.125Z] GC before operation: completed in 168.936 ms, heap usage 406.791 MB -> 89.375 MB. [2025-10-22T12:32:46.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:32:48.606Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:32:51.554Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:32:53.519Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:32:55.165Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:32:56.306Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:32:57.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:32:59.607Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:32:59.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:32:59.607Z] The best model improves the baseline by 14.34%. [2025-10-22T12:32:59.935Z] Top recommended movies for user id 72: [2025-10-22T12:32:59.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:32:59.935Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:32:59.935Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:32:59.935Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:32:59.935Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:32:59.935Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15723.934 ms) ====== [2025-10-22T12:32:59.935Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-22T12:32:59.935Z] GC before operation: completed in 169.505 ms, heap usage 433.914 MB -> 89.643 MB. [2025-10-22T12:33:02.182Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:33:04.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:33:07.362Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:33:09.022Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:33:10.674Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:33:11.817Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:33:13.469Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:33:14.629Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:33:14.957Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:33:14.957Z] The best model improves the baseline by 14.34%. [2025-10-22T12:33:14.957Z] Top recommended movies for user id 72: [2025-10-22T12:33:14.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:33:14.957Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:33:14.957Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:33:14.957Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:33:14.957Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:33:14.957Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15073.723 ms) ====== [2025-10-22T12:33:14.957Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-22T12:33:15.316Z] GC before operation: completed in 174.981 ms, heap usage 452.599 MB -> 92.691 MB. [2025-10-22T12:33:17.589Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:33:20.010Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:33:22.255Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:33:24.494Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:33:26.140Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:33:27.279Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:33:28.935Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:33:30.077Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:33:30.402Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:33:30.402Z] The best model improves the baseline by 14.34%. [2025-10-22T12:33:30.730Z] Top recommended movies for user id 72: [2025-10-22T12:33:30.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:33:30.730Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:33:30.730Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:33:30.730Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:33:30.730Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:33:30.730Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15321.512 ms) ====== [2025-10-22T12:33:30.730Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-22T12:33:30.730Z] GC before operation: completed in 167.333 ms, heap usage 163.361 MB -> 89.150 MB. [2025-10-22T12:33:32.975Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:33:35.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:33:38.177Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:33:39.831Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:33:41.482Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:33:43.128Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:33:46.811Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:33:46.811Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:33:46.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:33:46.811Z] The best model improves the baseline by 14.34%. [2025-10-22T12:33:46.811Z] Top recommended movies for user id 72: [2025-10-22T12:33:46.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:33:46.811Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:33:46.811Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:33:46.811Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:33:46.811Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:33:46.811Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15477.215 ms) ====== [2025-10-22T12:33:46.811Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-22T12:33:46.811Z] GC before operation: completed in 192.157 ms, heap usage 729.554 MB -> 93.571 MB. [2025-10-22T12:33:49.058Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:33:51.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:33:53.571Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:33:55.822Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:33:57.110Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:33:58.255Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:33:59.910Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:34:01.053Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:34:01.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:34:01.380Z] The best model improves the baseline by 14.34%. [2025-10-22T12:34:01.380Z] Top recommended movies for user id 72: [2025-10-22T12:34:01.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:34:01.380Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:34:01.380Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:34:01.380Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:34:01.380Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:34:01.380Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15016.927 ms) ====== [2025-10-22T12:34:01.380Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-22T12:34:01.708Z] GC before operation: completed in 169.689 ms, heap usage 418.016 MB -> 89.500 MB. [2025-10-22T12:34:03.949Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:34:06.200Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:34:08.445Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:34:10.695Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:34:12.340Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:34:14.409Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:34:15.114Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:34:16.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:34:16.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T12:34:16.578Z] The best model improves the baseline by 14.34%. [2025-10-22T12:34:16.578Z] Top recommended movies for user id 72: [2025-10-22T12:34:16.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T12:34:16.578Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T12:34:16.578Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T12:34:16.578Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T12:34:16.578Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T12:34:16.578Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15073.035 ms) ====== [2025-10-22T12:34:17.279Z] ----------------------------------- [2025-10-22T12:34:17.279Z] renaissance-movie-lens_0_PASSED [2025-10-22T12:34:17.279Z] ----------------------------------- [2025-10-22T12:34:17.279Z] [2025-10-22T12:34:17.279Z] TEST TEARDOWN: [2025-10-22T12:34:17.279Z] Nothing to be done for teardown. [2025-10-22T12:34:17.279Z] renaissance-movie-lens_0 Finish Time: Wed Oct 22 12:34:16 2025 Epoch Time (ms): 1761136456908