[2025-12-20T13:35:31.177Z] Running test renaissance-movie-lens_0 ... [2025-12-20T13:35:31.177Z] =============================================== [2025-12-20T13:35:31.177Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 13:35:30 2025 Epoch Time (ms): 1766237730837 [2025-12-20T13:35:31.177Z] variation: NoOptions [2025-12-20T13:35:31.177Z] JVM_OPTIONS: [2025-12-20T13:35:31.177Z] { \ [2025-12-20T13:35:31.177Z] echo ""; echo "TEST SETUP:"; \ [2025-12-20T13:35:31.177Z] echo "Nothing to be done for setup."; \ [2025-12-20T13:35:31.177Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17662357818326/renaissance-movie-lens_0"; \ [2025-12-20T13:35:31.177Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17662357818326/renaissance-movie-lens_0"; \ [2025-12-20T13:35:31.177Z] echo ""; echo "TESTING:"; \ [2025-12-20T13:35:31.177Z] "/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_17662357818326/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-20T13:35:31.178Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17662357818326/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-20T13:35:31.178Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-20T13:35:31.178Z] echo "Nothing to be done for teardown."; \ [2025-12-20T13:35:31.178Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17662357818326/TestTargetResult"; [2025-12-20T13:35:31.178Z] [2025-12-20T13:35:31.178Z] TEST SETUP: [2025-12-20T13:35:31.178Z] Nothing to be done for setup. [2025-12-20T13:35:31.178Z] [2025-12-20T13:35:31.178Z] TESTING: [2025-12-20T13:35:31.846Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-20T13:35:31.846Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17662357818326/renaissance-movie-lens_0/launcher-133530-15195577004871897261/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-20T13:35:31.846Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-20T13:35:31.846Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-20T13:35:36.715Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-20T13:35:44.020Z] 13:35:43.608 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. [2025-12-20T13:35:46.984Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-20T13:35:47.628Z] Training: 60056, validation: 20285, test: 19854 [2025-12-20T13:35:47.628Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-20T13:35:47.628Z] GC before operation: completed in 164.129 ms, heap usage 189.495 MB -> 75.454 MB. [2025-12-20T13:35:56.407Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:36:02.486Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:36:06.323Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:36:10.503Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:36:12.596Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:36:14.697Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:36:16.792Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:36:18.134Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:36:18.777Z] 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. [2025-12-20T13:36:18.777Z] The best model improves the baseline by 14.34%. [2025-12-20T13:36:18.777Z] Top recommended movies for user id 72: [2025-12-20T13:36:18.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:36:18.777Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:36:18.777Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:36:18.777Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:36:18.777Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:36:18.777Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31253.974 ms) ====== [2025-12-20T13:36:18.777Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-20T13:36:19.421Z] GC before operation: completed in 178.767 ms, heap usage 391.334 MB -> 98.214 MB. [2025-12-20T13:36:22.372Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:36:25.287Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:36:28.210Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:36:30.298Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:36:32.434Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:36:34.045Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:36:35.386Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:36:37.523Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:36:37.523Z] 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. [2025-12-20T13:36:37.523Z] The best model improves the baseline by 14.34%. [2025-12-20T13:36:38.170Z] Top recommended movies for user id 72: [2025-12-20T13:36:38.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:36:38.170Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:36:38.170Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:36:38.170Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:36:38.170Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:36:38.170Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18655.975 ms) ====== [2025-12-20T13:36:38.170Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-20T13:36:38.170Z] GC before operation: completed in 155.902 ms, heap usage 186.447 MB -> 87.364 MB. [2025-12-20T13:36:41.129Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:36:43.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:36:46.163Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:36:49.093Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:36:50.450Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:36:51.788Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:36:53.919Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:36:56.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:36:56.032Z] 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. [2025-12-20T13:36:56.032Z] The best model improves the baseline by 14.34%. [2025-12-20T13:36:56.032Z] Top recommended movies for user id 72: [2025-12-20T13:36:56.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:36:56.032Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:36:56.032Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:36:56.032Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:36:56.032Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:36:56.032Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18243.433 ms) ====== [2025-12-20T13:36:56.032Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-20T13:36:56.687Z] GC before operation: completed in 164.802 ms, heap usage 199.907 MB -> 88.108 MB. [2025-12-20T13:36:59.220Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:37:02.192Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:37:04.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:37:06.422Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:37:08.669Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:37:10.029Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:37:11.384Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:37:12.727Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:37:13.373Z] 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. [2025-12-20T13:37:13.373Z] The best model improves the baseline by 14.34%. [2025-12-20T13:37:13.373Z] Top recommended movies for user id 72: [2025-12-20T13:37:13.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:37:13.373Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:37:13.374Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:37:13.374Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:37:13.374Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:37:13.374Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16988.918 ms) ====== [2025-12-20T13:37:13.374Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-20T13:37:13.374Z] GC before operation: completed in 163.495 ms, heap usage 219.359 MB -> 88.477 MB. [2025-12-20T13:37:16.302Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:37:19.250Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:37:22.182Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:37:24.287Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:37:26.601Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:37:27.409Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:37:29.536Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:37:30.904Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:37:30.904Z] 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. [2025-12-20T13:37:30.904Z] The best model improves the baseline by 14.34%. [2025-12-20T13:37:31.551Z] Top recommended movies for user id 72: [2025-12-20T13:37:31.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:37:31.551Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:37:31.551Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:37:31.551Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:37:31.551Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:37:31.551Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17730.091 ms) ====== [2025-12-20T13:37:31.551Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-20T13:37:31.551Z] GC before operation: completed in 157.205 ms, heap usage 226.782 MB -> 88.494 MB. [2025-12-20T13:37:34.486Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:37:37.451Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:37:41.302Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:37:43.505Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:37:44.865Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:37:47.031Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:37:49.148Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:37:50.493Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:37:51.145Z] 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. [2025-12-20T13:37:51.145Z] The best model improves the baseline by 14.34%. [2025-12-20T13:37:51.145Z] Top recommended movies for user id 72: [2025-12-20T13:37:51.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:37:51.145Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:37:51.145Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:37:51.145Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:37:51.145Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:37:51.145Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19885.513 ms) ====== [2025-12-20T13:37:51.145Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-20T13:37:51.792Z] GC before operation: completed in 144.722 ms, heap usage 178.362 MB -> 88.727 MB. [2025-12-20T13:37:53.943Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:37:56.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:38:00.102Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:38:03.155Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:38:09.049Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:38:09.049Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:38:09.049Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:38:09.803Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:38:10.469Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T13:38:10.469Z] The best model improves the baseline by 14.34%. [2025-12-20T13:38:10.469Z] Top recommended movies for user id 72: [2025-12-20T13:38:10.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:38:10.469Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:38:10.469Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:38:10.469Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:38:10.469Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:38:10.469Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18860.742 ms) ====== [2025-12-20T13:38:10.469Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-20T13:38:10.469Z] GC before operation: completed in 145.995 ms, heap usage 436.447 MB -> 92.275 MB. [2025-12-20T13:38:13.425Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:38:16.352Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:38:19.306Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:38:21.465Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:38:22.829Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:38:24.171Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:38:25.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:38:27.619Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:38:27.619Z] 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. [2025-12-20T13:38:27.619Z] The best model improves the baseline by 14.34%. [2025-12-20T13:38:27.619Z] Top recommended movies for user id 72: [2025-12-20T13:38:27.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:38:27.619Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:38:27.619Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:38:27.619Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:38:27.619Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:38:27.619Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17114.188 ms) ====== [2025-12-20T13:38:27.619Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-20T13:38:27.619Z] GC before operation: completed in 155.902 ms, heap usage 215.113 MB -> 92.285 MB. [2025-12-20T13:38:30.996Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:38:33.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:38:35.274Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:38:37.398Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:38:38.763Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:38:40.117Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:38:42.231Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:38:43.581Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:38:43.581Z] 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. [2025-12-20T13:38:43.581Z] The best model improves the baseline by 14.34%. [2025-12-20T13:38:43.581Z] Top recommended movies for user id 72: [2025-12-20T13:38:43.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:38:43.581Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:38:43.581Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:38:43.581Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:38:43.581Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:38:43.581Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16111.741 ms) ====== [2025-12-20T13:38:43.581Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-20T13:38:44.236Z] GC before operation: completed in 143.095 ms, heap usage 208.073 MB -> 88.822 MB. [2025-12-20T13:38:46.340Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:38:49.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:38:51.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:38:54.339Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:38:55.689Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:38:57.046Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:38:58.467Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:38:59.816Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:39:00.478Z] 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. [2025-12-20T13:39:00.478Z] The best model improves the baseline by 14.34%. [2025-12-20T13:39:00.478Z] Top recommended movies for user id 72: [2025-12-20T13:39:00.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:39:00.478Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:39:00.478Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:39:00.478Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:39:00.478Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:39:00.478Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16285.760 ms) ====== [2025-12-20T13:39:00.478Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-20T13:39:00.478Z] GC before operation: completed in 152.125 ms, heap usage 166.540 MB -> 88.910 MB. [2025-12-20T13:39:03.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:39:05.604Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:39:08.580Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:39:10.708Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:39:12.196Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:39:13.540Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:39:15.299Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:39:16.649Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:39:17.308Z] 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. [2025-12-20T13:39:17.308Z] The best model improves the baseline by 14.34%. [2025-12-20T13:39:17.308Z] Top recommended movies for user id 72: [2025-12-20T13:39:17.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:39:17.308Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:39:17.308Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:39:17.308Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:39:17.308Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:39:17.308Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16761.576 ms) ====== [2025-12-20T13:39:17.308Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-20T13:39:17.308Z] GC before operation: completed in 145.298 ms, heap usage 179.921 MB -> 88.734 MB. [2025-12-20T13:39:19.456Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:39:22.432Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:39:24.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:39:26.636Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:39:27.978Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:39:30.095Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:39:31.441Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:39:32.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:39:32.780Z] 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. [2025-12-20T13:39:32.780Z] The best model improves the baseline by 14.34%. [2025-12-20T13:39:32.780Z] Top recommended movies for user id 72: [2025-12-20T13:39:32.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:39:32.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:39:32.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:39:32.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:39:32.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:39:32.780Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15714.570 ms) ====== [2025-12-20T13:39:32.780Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-20T13:39:33.425Z] GC before operation: completed in 147.433 ms, heap usage 249.653 MB -> 89.055 MB. [2025-12-20T13:39:35.532Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:39:38.462Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:39:40.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:39:42.646Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:39:43.988Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:39:46.085Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:39:47.421Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:39:48.765Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:39:48.765Z] 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. [2025-12-20T13:39:48.765Z] The best model improves the baseline by 14.34%. [2025-12-20T13:39:48.765Z] Top recommended movies for user id 72: [2025-12-20T13:39:48.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:39:48.765Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:39:48.765Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:39:48.765Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:39:48.765Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:39:48.765Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15810.589 ms) ====== [2025-12-20T13:39:48.765Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-20T13:39:49.415Z] GC before operation: completed in 143.369 ms, heap usage 140.240 MB -> 89.000 MB. [2025-12-20T13:39:51.514Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:39:54.508Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:39:56.606Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:39:58.805Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:40:00.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:40:02.272Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:40:03.950Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:40:05.301Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:40:05.301Z] 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. [2025-12-20T13:40:05.301Z] The best model improves the baseline by 14.34%. [2025-12-20T13:40:05.946Z] Top recommended movies for user id 72: [2025-12-20T13:40:05.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:40:05.946Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:40:05.946Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:40:05.946Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:40:05.946Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:40:05.946Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16464.042 ms) ====== [2025-12-20T13:40:05.946Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-20T13:40:05.946Z] GC before operation: completed in 140.499 ms, heap usage 142.065 MB -> 91.801 MB. [2025-12-20T13:40:08.036Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:40:10.992Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:40:13.112Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:40:15.266Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:40:16.625Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:40:18.046Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:40:19.414Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:40:20.763Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:40:20.763Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T13:40:20.763Z] The best model improves the baseline by 14.34%. [2025-12-20T13:40:20.763Z] Top recommended movies for user id 72: [2025-12-20T13:40:20.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:40:20.763Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:40:20.763Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:40:20.763Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:40:20.763Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:40:20.763Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15234.311 ms) ====== [2025-12-20T13:40:20.763Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-20T13:40:21.406Z] GC before operation: completed in 144.983 ms, heap usage 349.357 MB -> 89.433 MB. [2025-12-20T13:40:23.555Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:40:25.666Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:40:28.582Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:40:30.671Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:40:32.012Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:40:33.360Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:40:34.723Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:40:36.081Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:40:36.081Z] 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. [2025-12-20T13:40:36.081Z] The best model improves the baseline by 14.34%. [2025-12-20T13:40:36.081Z] Top recommended movies for user id 72: [2025-12-20T13:40:36.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:40:36.081Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:40:36.081Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:40:36.081Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:40:36.081Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:40:36.081Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15148.429 ms) ====== [2025-12-20T13:40:36.081Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-20T13:40:36.728Z] GC before operation: completed in 142.921 ms, heap usage 229.046 MB -> 89.094 MB. [2025-12-20T13:40:38.834Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:40:40.944Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:40:43.906Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:40:45.998Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:40:47.333Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:40:49.427Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:40:50.761Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:40:52.104Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:40:52.104Z] 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. [2025-12-20T13:40:52.104Z] The best model improves the baseline by 14.34%. [2025-12-20T13:40:52.104Z] Top recommended movies for user id 72: [2025-12-20T13:40:52.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:40:52.104Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:40:52.104Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:40:52.104Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:40:52.104Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:40:52.104Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15935.341 ms) ====== [2025-12-20T13:40:52.104Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-20T13:40:52.753Z] GC before operation: completed in 144.412 ms, heap usage 193.705 MB -> 93.631 MB. [2025-12-20T13:40:55.240Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:40:57.346Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:40:59.528Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:41:02.472Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:41:03.835Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:41:05.184Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:41:07.299Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:41:08.664Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:41:08.664Z] 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. [2025-12-20T13:41:08.664Z] The best model improves the baseline by 14.34%. [2025-12-20T13:41:09.314Z] Top recommended movies for user id 72: [2025-12-20T13:41:09.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:41:09.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:41:09.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:41:09.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:41:09.314Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:41:09.314Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16438.281 ms) ====== [2025-12-20T13:41:09.314Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-20T13:41:09.314Z] GC before operation: completed in 143.763 ms, heap usage 153.166 MB -> 88.814 MB. [2025-12-20T13:41:11.419Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:41:14.364Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:41:17.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:41:20.299Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:41:21.664Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:41:23.039Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:41:24.382Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:41:26.495Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:41:26.495Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-20T13:41:26.495Z] The best model improves the baseline by 14.34%. [2025-12-20T13:41:26.495Z] Top recommended movies for user id 72: [2025-12-20T13:41:26.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:41:26.495Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:41:26.495Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:41:26.495Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:41:26.495Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:41:26.495Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17547.456 ms) ====== [2025-12-20T13:41:26.495Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-20T13:41:27.146Z] GC before operation: completed in 141.306 ms, heap usage 306.728 MB -> 89.236 MB. [2025-12-20T13:41:29.276Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-20T13:41:33.158Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-20T13:41:36.098Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-20T13:41:39.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-20T13:41:40.368Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-20T13:41:41.713Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-20T13:41:43.800Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-20T13:41:45.544Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-20T13:41:45.544Z] 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. [2025-12-20T13:41:45.544Z] The best model improves the baseline by 14.34%. [2025-12-20T13:41:45.544Z] Top recommended movies for user id 72: [2025-12-20T13:41:45.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-20T13:41:45.544Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-20T13:41:45.544Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-20T13:41:45.544Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-20T13:41:45.544Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-20T13:41:45.544Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18686.093 ms) ====== [2025-12-20T13:41:46.189Z] ----------------------------------- [2025-12-20T13:41:46.189Z] renaissance-movie-lens_0_PASSED [2025-12-20T13:41:46.189Z] ----------------------------------- [2025-12-20T13:41:46.189Z] [2025-12-20T13:41:46.189Z] TEST TEARDOWN: [2025-12-20T13:41:46.189Z] Nothing to be done for teardown. [2025-12-20T13:41:46.189Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 13:41:45 2025 Epoch Time (ms): 1766238105617