[2026-02-06T00:45:42.230Z] Running test renaissance-movie-lens_0 ... [2026-02-06T00:45:42.230Z] =============================================== [2026-02-06T00:45:42.230Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 00:45:41 2026 Epoch Time (ms): 1770338741927 [2026-02-06T00:45:42.230Z] variation: NoOptions [2026-02-06T00:45:42.230Z] JVM_OPTIONS: [2026-02-06T00:45:42.230Z] { \ [2026-02-06T00:45:42.230Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T00:45:42.230Z] echo "Nothing to be done for setup."; \ [2026-02-06T00:45:42.230Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703376303433/renaissance-movie-lens_0"; \ [2026-02-06T00:45:42.230Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703376303433/renaissance-movie-lens_0"; \ [2026-02-06T00:45:42.230Z] echo ""; echo "TESTING:"; \ [2026-02-06T00:45:42.230Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703376303433/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T00:45:42.230Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703376303433/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T00:45:42.230Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T00:45:42.230Z] echo "Nothing to be done for teardown."; \ [2026-02-06T00:45:42.230Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17703376303433/TestTargetResult"; [2026-02-06T00:45:42.230Z] [2026-02-06T00:45:42.230Z] TEST SETUP: [2026-02-06T00:45:42.230Z] Nothing to be done for setup. [2026-02-06T00:45:42.230Z] [2026-02-06T00:45:42.230Z] TESTING: [2026-02-06T00:45:43.671Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-06T00:45:43.671Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17703376303433/renaissance-movie-lens_0/launcher-004542-7750577814577188397/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-06T00:45:43.671Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-06T00:45:43.671Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-06T00:45:48.724Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-06T00:45:56.234Z] 00:45:55.095 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-06T00:45:57.595Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T00:45:58.235Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T00:45:58.235Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T00:45:58.890Z] GC before operation: completed in 258.759 ms, heap usage 214.831 MB -> 75.656 MB. [2026-02-06T00:46:06.364Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:46:10.254Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:46:14.150Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:46:18.061Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:46:21.059Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:46:23.216Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:46:25.368Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:46:27.502Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:46:28.141Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:46:28.141Z] The best model improves the baseline by 14.34%. [2026-02-06T00:46:28.141Z] Top recommended movies for user id 72: [2026-02-06T00:46:28.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:46:28.141Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:46:28.141Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:46:28.141Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:46:28.141Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:46:28.141Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29540.761 ms) ====== [2026-02-06T00:46:28.141Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T00:46:28.825Z] GC before operation: completed in 303.281 ms, heap usage 210.637 MB -> 96.692 MB. [2026-02-06T00:46:32.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:46:35.842Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:46:38.844Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:46:42.275Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:46:43.689Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:46:45.885Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:46:48.017Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:46:50.255Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:46:50.255Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:46:50.255Z] The best model improves the baseline by 14.34%. [2026-02-06T00:46:50.255Z] Top recommended movies for user id 72: [2026-02-06T00:46:50.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:46:50.255Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:46:50.255Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:46:50.255Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:46:50.255Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:46:50.255Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21840.409 ms) ====== [2026-02-06T00:46:50.255Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T00:46:50.935Z] GC before operation: completed in 205.025 ms, heap usage 186.318 MB -> 87.569 MB. [2026-02-06T00:46:53.886Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:46:56.818Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:47:00.715Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:47:03.783Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:47:06.030Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:47:07.424Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:47:09.602Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:47:11.856Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:47:11.856Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:47:11.856Z] The best model improves the baseline by 14.34%. [2026-02-06T00:47:12.529Z] Top recommended movies for user id 72: [2026-02-06T00:47:12.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:47:12.529Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:47:12.529Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:47:12.529Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:47:12.529Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:47:12.529Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21768.958 ms) ====== [2026-02-06T00:47:12.529Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T00:47:12.529Z] GC before operation: completed in 229.357 ms, heap usage 235.194 MB -> 88.355 MB. [2026-02-06T00:47:16.464Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:47:19.490Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:47:23.873Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:47:26.058Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:47:28.279Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:47:30.514Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:47:32.659Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:47:34.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:47:34.855Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:47:34.855Z] The best model improves the baseline by 14.34%. [2026-02-06T00:47:35.533Z] Top recommended movies for user id 72: [2026-02-06T00:47:35.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:47:35.533Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:47:35.533Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:47:35.533Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:47:35.533Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:47:35.533Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22746.124 ms) ====== [2026-02-06T00:47:35.533Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T00:47:35.533Z] GC before operation: completed in 252.691 ms, heap usage 146.902 MB -> 88.596 MB. [2026-02-06T00:47:39.586Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:47:42.623Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:47:46.609Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:47:49.640Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:47:51.795Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:47:53.990Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:47:56.196Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:47:57.611Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:47:57.611Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:47:57.611Z] The best model improves the baseline by 14.34%. [2026-02-06T00:47:58.367Z] Top recommended movies for user id 72: [2026-02-06T00:47:58.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:47:58.367Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:47:58.367Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:47:58.367Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:47:58.367Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:47:58.367Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22391.919 ms) ====== [2026-02-06T00:47:58.367Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T00:47:58.367Z] GC before operation: completed in 222.429 ms, heap usage 211.845 MB -> 88.605 MB. [2026-02-06T00:48:01.411Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:48:04.636Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:48:07.697Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:48:10.760Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:48:12.125Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:48:14.330Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:48:15.725Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:48:17.847Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:48:17.847Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:48:17.847Z] The best model improves the baseline by 14.34%. [2026-02-06T00:48:17.848Z] Top recommended movies for user id 72: [2026-02-06T00:48:17.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:48:17.848Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:48:17.848Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:48:17.848Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:48:17.848Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:48:17.848Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19854.117 ms) ====== [2026-02-06T00:48:17.848Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T00:48:18.496Z] GC before operation: completed in 192.215 ms, heap usage 310.967 MB -> 89.137 MB. [2026-02-06T00:48:21.523Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:48:24.591Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:48:27.609Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:48:30.642Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:48:32.855Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:48:34.259Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:48:36.445Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:48:37.840Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:48:38.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:48:38.505Z] The best model improves the baseline by 14.34%. [2026-02-06T00:48:38.505Z] Top recommended movies for user id 72: [2026-02-06T00:48:38.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:48:38.505Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:48:38.505Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:48:38.505Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:48:38.505Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:48:38.505Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20259.162 ms) ====== [2026-02-06T00:48:38.505Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T00:48:38.505Z] GC before operation: completed in 168.688 ms, heap usage 212.260 MB -> 88.936 MB. [2026-02-06T00:48:41.992Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:48:44.998Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:48:47.926Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:48:50.065Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:48:52.245Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:48:53.601Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:48:55.842Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:48:57.999Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:48:57.999Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:48:57.999Z] The best model improves the baseline by 14.34%. [2026-02-06T00:48:57.999Z] Top recommended movies for user id 72: [2026-02-06T00:48:57.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:48:57.999Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:48:57.999Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:48:57.999Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:48:57.999Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:48:57.999Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19580.370 ms) ====== [2026-02-06T00:48:57.999Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T00:48:58.685Z] GC before operation: completed in 199.905 ms, heap usage 175.882 MB -> 89.125 MB. [2026-02-06T00:49:01.737Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:49:04.762Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:49:08.751Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:49:11.784Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:49:13.942Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:49:15.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:49:17.498Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:49:19.693Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:49:19.693Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:49:19.693Z] The best model improves the baseline by 14.34%. [2026-02-06T00:49:20.365Z] Top recommended movies for user id 72: [2026-02-06T00:49:20.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:49:20.365Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:49:20.365Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:49:20.365Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:49:20.365Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:49:20.365Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21808.590 ms) ====== [2026-02-06T00:49:20.365Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T00:49:20.365Z] GC before operation: completed in 233.418 ms, heap usage 193.202 MB -> 88.943 MB. [2026-02-06T00:49:23.894Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:49:26.944Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:49:29.958Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:49:33.002Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:49:35.153Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:49:37.268Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:49:39.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:49:40.924Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:49:41.589Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:49:41.589Z] The best model improves the baseline by 14.34%. [2026-02-06T00:49:42.275Z] Top recommended movies for user id 72: [2026-02-06T00:49:42.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:49:42.275Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:49:42.275Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:49:42.275Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:49:42.275Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:49:42.275Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21512.462 ms) ====== [2026-02-06T00:49:42.275Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T00:49:42.275Z] GC before operation: completed in 189.889 ms, heap usage 444.640 MB -> 92.838 MB. [2026-02-06T00:49:46.247Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:49:49.325Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:49:52.380Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:49:55.391Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:49:57.522Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:50:00.555Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:50:02.376Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:50:04.572Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:50:04.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:50:04.572Z] The best model improves the baseline by 14.34%. [2026-02-06T00:50:04.572Z] Top recommended movies for user id 72: [2026-02-06T00:50:04.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:50:04.572Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:50:04.572Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:50:04.572Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:50:04.572Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:50:04.572Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22661.555 ms) ====== [2026-02-06T00:50:04.572Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T00:50:05.260Z] GC before operation: completed in 252.286 ms, heap usage 214.933 MB -> 88.964 MB. [2026-02-06T00:50:08.347Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:50:13.327Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:50:16.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:50:19.845Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:50:23.035Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:50:24.451Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:50:27.509Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:50:28.936Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:50:29.594Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:50:29.594Z] The best model improves the baseline by 14.34%. [2026-02-06T00:50:29.594Z] Top recommended movies for user id 72: [2026-02-06T00:50:29.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:50:29.594Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:50:29.594Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:50:29.594Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:50:29.594Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:50:29.594Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24643.944 ms) ====== [2026-02-06T00:50:29.594Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T00:50:30.265Z] GC before operation: completed in 178.516 ms, heap usage 140.947 MB -> 89.046 MB. [2026-02-06T00:50:33.384Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:50:36.474Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:50:39.563Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:50:42.624Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:50:44.073Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:50:46.253Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:50:47.629Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:50:49.073Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:50:49.862Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:50:49.862Z] The best model improves the baseline by 14.34%. [2026-02-06T00:50:49.862Z] Top recommended movies for user id 72: [2026-02-06T00:50:49.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:50:49.862Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:50:49.862Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:50:49.862Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:50:49.862Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:50:49.862Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19803.371 ms) ====== [2026-02-06T00:50:49.862Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T00:50:49.862Z] GC before operation: completed in 188.644 ms, heap usage 382.177 MB -> 89.784 MB. [2026-02-06T00:50:52.881Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:50:55.837Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:50:58.882Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:51:01.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:51:03.488Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:51:05.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:51:06.797Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:51:08.915Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:51:08.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:51:08.915Z] The best model improves the baseline by 14.34%. [2026-02-06T00:51:08.915Z] Top recommended movies for user id 72: [2026-02-06T00:51:08.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:51:08.915Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:51:08.915Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:51:08.915Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:51:08.915Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:51:08.915Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19214.901 ms) ====== [2026-02-06T00:51:08.915Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T00:51:09.573Z] GC before operation: completed in 246.111 ms, heap usage 212.390 MB -> 89.040 MB. [2026-02-06T00:51:12.508Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:51:14.624Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:51:17.561Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:51:19.654Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:51:21.006Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:51:23.103Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:51:24.422Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:51:25.767Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:51:25.768Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:51:25.768Z] The best model improves the baseline by 14.34%. [2026-02-06T00:51:26.441Z] Top recommended movies for user id 72: [2026-02-06T00:51:26.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:51:26.441Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:51:26.441Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:51:26.441Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:51:26.441Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:51:26.441Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16780.499 ms) ====== [2026-02-06T00:51:26.441Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T00:51:26.441Z] GC before operation: completed in 191.730 ms, heap usage 386.882 MB -> 89.636 MB. [2026-02-06T00:51:28.560Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:51:31.473Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:51:33.541Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:51:35.943Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:51:37.289Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:51:38.619Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:51:40.770Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:51:42.155Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:51:42.155Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:51:42.155Z] The best model improves the baseline by 14.34%. [2026-02-06T00:51:42.823Z] Top recommended movies for user id 72: [2026-02-06T00:51:42.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:51:42.824Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:51:42.824Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:51:42.824Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:51:42.824Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:51:42.824Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16225.654 ms) ====== [2026-02-06T00:51:42.824Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T00:51:42.824Z] GC before operation: completed in 243.376 ms, heap usage 187.994 MB -> 89.118 MB. [2026-02-06T00:51:45.787Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:51:47.890Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:51:50.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:51:52.933Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:51:54.256Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:51:55.608Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:51:57.705Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:51:59.066Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:51:59.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:51:59.066Z] The best model improves the baseline by 14.34%. [2026-02-06T00:51:59.066Z] Top recommended movies for user id 72: [2026-02-06T00:51:59.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:51:59.066Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:51:59.066Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:51:59.066Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:51:59.066Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:51:59.066Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16422.841 ms) ====== [2026-02-06T00:51:59.066Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T00:51:59.724Z] GC before operation: completed in 209.484 ms, heap usage 172.823 MB -> 89.254 MB. [2026-02-06T00:52:01.895Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:52:04.929Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:52:07.943Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:52:10.127Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:52:12.464Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:52:14.304Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:52:15.677Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:52:17.839Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:52:17.839Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:52:17.839Z] The best model improves the baseline by 14.34%. [2026-02-06T00:52:17.839Z] Top recommended movies for user id 72: [2026-02-06T00:52:17.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:52:17.839Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:52:17.839Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:52:17.839Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:52:17.839Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:52:17.839Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18443.882 ms) ====== [2026-02-06T00:52:17.839Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T00:52:17.839Z] GC before operation: completed in 245.666 ms, heap usage 352.726 MB -> 89.442 MB. [2026-02-06T00:52:20.845Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:52:23.796Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:52:26.819Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:52:28.979Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:52:31.095Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:52:32.465Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:52:33.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:52:36.014Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:52:36.014Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:52:36.014Z] The best model improves the baseline by 14.34%. [2026-02-06T00:52:36.014Z] Top recommended movies for user id 72: [2026-02-06T00:52:36.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:52:36.014Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:52:36.014Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:52:36.014Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:52:36.014Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:52:36.014Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17983.180 ms) ====== [2026-02-06T00:52:36.014Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T00:52:36.686Z] GC before operation: completed in 252.917 ms, heap usage 165.409 MB -> 89.192 MB. [2026-02-06T00:52:39.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:52:41.888Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:52:44.940Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:52:47.532Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:52:49.716Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:52:51.163Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:52:52.558Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:52:54.694Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:52:54.694Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T00:52:54.694Z] The best model improves the baseline by 14.34%. [2026-02-06T00:52:54.694Z] Top recommended movies for user id 72: [2026-02-06T00:52:54.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T00:52:54.694Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T00:52:54.694Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T00:52:54.694Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T00:52:54.694Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T00:52:54.694Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18506.787 ms) ====== [2026-02-06T00:52:55.336Z] ----------------------------------- [2026-02-06T00:52:55.336Z] renaissance-movie-lens_0_PASSED [2026-02-06T00:52:55.336Z] ----------------------------------- [2026-02-06T00:52:55.336Z] [2026-02-06T00:52:55.336Z] TEST TEARDOWN: [2026-02-06T00:52:55.336Z] Nothing to be done for teardown. [2026-02-06T00:52:55.336Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 00:52:55 2026 Epoch Time (ms): 1770339175219