[2026-02-28T20:54:36.814Z] Running test renaissance-movie-lens_0 ... [2026-02-28T20:54:36.814Z] =============================================== [2026-02-28T20:54:36.814Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 20:54:36 2026 Epoch Time (ms): 1772312076700 [2026-02-28T20:54:36.814Z] variation: NoOptions [2026-02-28T20:54:36.814Z] JVM_OPTIONS: [2026-02-28T20:54:36.814Z] { \ [2026-02-28T20:54:36.814Z] echo ""; echo "TEST SETUP:"; \ [2026-02-28T20:54:36.814Z] echo "Nothing to be done for setup."; \ [2026-02-28T20:54:36.814Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17723109242920/renaissance-movie-lens_0"; \ [2026-02-28T20:54:36.814Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17723109242920/renaissance-movie-lens_0"; \ [2026-02-28T20:54:36.814Z] echo ""; echo "TESTING:"; \ [2026-02-28T20:54:36.814Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17723109242920/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-28T20:54:36.814Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17723109242920/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-28T20:54:36.814Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-28T20:54:36.814Z] echo "Nothing to be done for teardown."; \ [2026-02-28T20:54:36.814Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17723109242920/TestTargetResult"; [2026-02-28T20:54:36.814Z] [2026-02-28T20:54:36.814Z] TEST SETUP: [2026-02-28T20:54:36.814Z] Nothing to be done for setup. [2026-02-28T20:54:36.814Z] [2026-02-28T20:54:36.814Z] TESTING: [2026-02-28T20:54:38.424Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-28T20:54:38.424Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17723109242920/renaissance-movie-lens_0/launcher-205437-1863786472963397888/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-28T20:54:38.424Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-28T20:54:38.424Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-28T20:55:00.808Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-02-28T20:55:10.860Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-28T20:55:11.642Z] Training: 60056, validation: 20285, test: 19854 [2026-02-28T20:55:11.642Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-28T20:55:11.642Z] GC before operation: completed in 145.309 ms, heap usage 514.622 MB -> 75.216 MB. [2026-02-28T20:55:17.350Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:55:20.817Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:55:25.340Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:55:28.032Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:55:30.551Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:55:33.063Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:55:35.569Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:55:38.083Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:55:38.083Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:55:38.083Z] The best model improves the baseline by 14.43%. [2026-02-28T20:55:38.863Z] Top recommended movies for user id 72: [2026-02-28T20:55:38.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:55:38.863Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:55:38.863Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:55:38.863Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:55:38.863Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:55:38.863Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26832.186 ms) ====== [2026-02-28T20:55:38.863Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-28T20:55:38.863Z] GC before operation: completed in 158.239 ms, heap usage 325.252 MB -> 89.254 MB. [2026-02-28T20:55:42.339Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:55:45.813Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:55:50.593Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:55:52.215Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:55:54.718Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:55:56.339Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:55:58.852Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:56:00.470Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:56:00.470Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:56:00.470Z] The best model improves the baseline by 14.43%. [2026-02-28T20:56:01.249Z] Top recommended movies for user id 72: [2026-02-28T20:56:01.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:56:01.249Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:56:01.249Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:56:01.249Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:56:01.249Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:56:01.249Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22454.405 ms) ====== [2026-02-28T20:56:01.249Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-28T20:56:01.249Z] GC before operation: completed in 152.406 ms, heap usage 319.417 MB -> 89.476 MB. [2026-02-28T20:56:04.745Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:56:08.214Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:56:11.690Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:56:15.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:56:17.005Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:56:18.629Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:56:21.150Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:56:22.773Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:56:22.773Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:56:22.773Z] The best model improves the baseline by 14.43%. [2026-02-28T20:56:23.555Z] Top recommended movies for user id 72: [2026-02-28T20:56:23.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:56:23.555Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:56:23.555Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:56:23.555Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:56:23.555Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:56:23.555Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22000.963 ms) ====== [2026-02-28T20:56:23.555Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-28T20:56:23.555Z] GC before operation: completed in 123.267 ms, heap usage 316.209 MB -> 90.421 MB. [2026-02-28T20:56:26.081Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:56:29.551Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:56:34.073Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:56:36.593Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:56:38.203Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:56:40.713Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:56:43.219Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:56:44.859Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:56:44.859Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:56:44.859Z] The best model improves the baseline by 14.43%. [2026-02-28T20:56:44.859Z] Top recommended movies for user id 72: [2026-02-28T20:56:44.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:56:44.859Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:56:44.859Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:56:44.859Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:56:44.859Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:56:44.859Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21540.572 ms) ====== [2026-02-28T20:56:44.859Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-28T20:56:44.859Z] GC before operation: completed in 141.930 ms, heap usage 1.823 GB -> 96.693 MB. [2026-02-28T20:56:48.349Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:56:50.853Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:56:55.380Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:56:57.886Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:56:59.509Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:57:02.011Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:57:04.517Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:57:06.138Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:57:06.138Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:57:06.138Z] The best model improves the baseline by 14.43%. [2026-02-28T20:57:06.138Z] Top recommended movies for user id 72: [2026-02-28T20:57:06.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:57:06.138Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:57:06.138Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:57:06.138Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:57:06.138Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:57:06.138Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21293.309 ms) ====== [2026-02-28T20:57:06.138Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-28T20:57:06.138Z] GC before operation: completed in 125.827 ms, heap usage 319.593 MB -> 90.881 MB. [2026-02-28T20:57:09.599Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:57:13.083Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:57:16.553Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:57:19.059Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:57:20.671Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:57:22.299Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:57:24.806Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:57:25.594Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:57:26.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:57:26.377Z] The best model improves the baseline by 14.43%. [2026-02-28T20:57:26.377Z] Top recommended movies for user id 72: [2026-02-28T20:57:26.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:57:26.377Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:57:26.377Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:57:26.377Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:57:26.377Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:57:26.377Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19891.216 ms) ====== [2026-02-28T20:57:26.377Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-28T20:57:26.377Z] GC before operation: completed in 135.818 ms, heap usage 1.771 GB -> 97.168 MB. [2026-02-28T20:57:28.894Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:57:32.370Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:57:36.012Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:57:38.518Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:57:40.129Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:57:41.739Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:57:45.207Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:57:46.826Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:57:46.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:57:46.826Z] The best model improves the baseline by 14.43%. [2026-02-28T20:57:46.826Z] Top recommended movies for user id 72: [2026-02-28T20:57:46.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:57:46.826Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:57:46.826Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:57:46.826Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:57:46.826Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:57:46.826Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20567.280 ms) ====== [2026-02-28T20:57:46.826Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-28T20:57:47.616Z] GC before operation: completed in 140.445 ms, heap usage 1.016 GB -> 95.149 MB. [2026-02-28T20:57:50.123Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:57:53.591Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:57:57.072Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:57:59.577Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:58:02.107Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:58:02.890Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:58:05.393Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:58:07.010Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:58:07.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:58:07.790Z] The best model improves the baseline by 14.43%. [2026-02-28T20:58:07.790Z] Top recommended movies for user id 72: [2026-02-28T20:58:07.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:58:07.790Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:58:07.790Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:58:07.790Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:58:07.790Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:58:07.790Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20368.928 ms) ====== [2026-02-28T20:58:07.790Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-28T20:58:07.790Z] GC before operation: completed in 147.496 ms, heap usage 2.863 GB -> 97.814 MB. [2026-02-28T20:58:10.291Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:58:13.761Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:58:17.226Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:58:20.717Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:58:22.328Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:58:23.950Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:58:26.458Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:58:28.072Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:58:28.853Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:58:28.853Z] The best model improves the baseline by 14.43%. [2026-02-28T20:58:28.853Z] Top recommended movies for user id 72: [2026-02-28T20:58:28.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:58:28.853Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:58:28.853Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:58:28.853Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:58:28.853Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:58:28.853Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21230.853 ms) ====== [2026-02-28T20:58:28.853Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-28T20:58:28.853Z] GC before operation: completed in 123.659 ms, heap usage 109.806 MB -> 91.272 MB. [2026-02-28T20:58:32.318Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:58:34.832Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:58:39.432Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:58:41.939Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:58:43.549Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:58:46.048Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:58:48.565Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:58:50.176Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:58:50.176Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:58:50.176Z] The best model improves the baseline by 14.43%. [2026-02-28T20:58:50.976Z] Top recommended movies for user id 72: [2026-02-28T20:58:50.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:58:50.976Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:58:50.976Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:58:50.976Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:58:50.976Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:58:50.976Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21596.566 ms) ====== [2026-02-28T20:58:50.976Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-28T20:58:50.976Z] GC before operation: completed in 153.589 ms, heap usage 1.023 GB -> 95.369 MB. [2026-02-28T20:58:53.482Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:58:56.956Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:59:00.422Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:59:02.931Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:59:05.438Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:59:07.054Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:59:08.665Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:59:11.185Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:59:11.185Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:59:11.185Z] The best model improves the baseline by 14.43%. [2026-02-28T20:59:11.185Z] Top recommended movies for user id 72: [2026-02-28T20:59:11.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:59:11.185Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:59:11.185Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:59:11.185Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:59:11.185Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:59:11.185Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20463.604 ms) ====== [2026-02-28T20:59:11.185Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-28T20:59:11.185Z] GC before operation: completed in 126.486 ms, heap usage 188.361 MB -> 90.873 MB. [2026-02-28T20:59:14.652Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:59:17.156Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:59:21.696Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:59:24.211Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:59:25.827Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:59:28.329Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:59:29.952Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:59:32.460Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:59:32.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:59:32.460Z] The best model improves the baseline by 14.43%. [2026-02-28T20:59:32.460Z] Top recommended movies for user id 72: [2026-02-28T20:59:32.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:59:32.460Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:59:32.460Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:59:32.460Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:59:32.460Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:59:32.460Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21120.179 ms) ====== [2026-02-28T20:59:32.460Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-28T20:59:32.460Z] GC before operation: completed in 116.906 ms, heap usage 323.525 MB -> 91.476 MB. [2026-02-28T20:59:35.921Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T20:59:39.405Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T20:59:42.910Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T20:59:45.413Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T20:59:47.941Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T20:59:51.424Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T20:59:52.203Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T20:59:53.826Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T20:59:53.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T20:59:53.826Z] The best model improves the baseline by 14.43%. [2026-02-28T20:59:53.826Z] Top recommended movies for user id 72: [2026-02-28T20:59:53.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T20:59:53.826Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T20:59:53.826Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T20:59:53.826Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T20:59:53.826Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T20:59:53.826Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21493.080 ms) ====== [2026-02-28T20:59:53.826Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-28T20:59:54.629Z] GC before operation: completed in 131.737 ms, heap usage 2.635 GB -> 97.947 MB. [2026-02-28T20:59:57.308Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T21:00:00.788Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T21:00:04.286Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T21:00:06.817Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T21:00:08.480Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T21:00:10.985Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T21:00:16.287Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T21:00:16.287Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T21:00:17.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T21:00:17.942Z] The best model improves the baseline by 14.43%. [2026-02-28T21:00:17.942Z] Top recommended movies for user id 72: [2026-02-28T21:00:17.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T21:00:17.942Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T21:00:17.942Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T21:00:17.942Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T21:00:17.942Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T21:00:17.942Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20864.460 ms) ====== [2026-02-28T21:00:17.942Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-28T21:00:17.942Z] GC before operation: completed in 125.663 ms, heap usage 2.741 GB -> 97.864 MB. [2026-02-28T21:00:17.942Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T21:00:21.486Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T21:00:24.952Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T21:00:27.664Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T21:00:29.297Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T21:00:30.920Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T21:00:33.423Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T21:00:35.053Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T21:00:35.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T21:00:35.053Z] The best model improves the baseline by 14.43%. [2026-02-28T21:00:35.053Z] Top recommended movies for user id 72: [2026-02-28T21:00:35.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T21:00:35.053Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T21:00:35.053Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T21:00:35.053Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T21:00:35.053Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T21:00:35.053Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20002.808 ms) ====== [2026-02-28T21:00:35.053Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-28T21:00:35.053Z] GC before operation: completed in 150.155 ms, heap usage 793.654 MB -> 95.216 MB. [2026-02-28T21:00:38.544Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T21:00:41.052Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T21:00:44.518Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T21:00:47.987Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T21:00:48.853Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T21:00:50.470Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T21:00:53.946Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T21:00:55.559Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T21:00:56.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T21:00:56.343Z] The best model improves the baseline by 14.43%. [2026-02-28T21:00:56.343Z] Top recommended movies for user id 72: [2026-02-28T21:00:56.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T21:00:56.343Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T21:00:56.343Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T21:00:56.343Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T21:00:56.343Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T21:00:56.343Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20952.712 ms) ====== [2026-02-28T21:00:56.343Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-28T21:00:56.343Z] GC before operation: completed in 128.903 ms, heap usage 210.669 MB -> 91.291 MB. [2026-02-28T21:00:58.858Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T21:01:02.330Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T21:01:05.838Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T21:01:08.336Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T21:01:09.948Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T21:01:11.566Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T21:01:14.253Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T21:01:15.881Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T21:01:15.881Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T21:01:15.881Z] The best model improves the baseline by 14.43%. [2026-02-28T21:01:16.686Z] Top recommended movies for user id 72: [2026-02-28T21:01:16.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T21:01:16.686Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T21:01:16.686Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T21:01:16.686Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T21:01:16.686Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T21:01:16.686Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19753.057 ms) ====== [2026-02-28T21:01:16.686Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-28T21:01:16.686Z] GC before operation: completed in 136.320 ms, heap usage 2.088 GB -> 97.549 MB. [2026-02-28T21:01:19.202Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T21:01:22.666Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T21:01:26.149Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T21:01:28.649Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T21:01:31.164Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T21:01:32.774Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T21:01:34.384Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T21:01:36.886Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T21:01:36.886Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T21:01:36.886Z] The best model improves the baseline by 14.43%. [2026-02-28T21:01:36.886Z] Top recommended movies for user id 72: [2026-02-28T21:01:36.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T21:01:36.886Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T21:01:36.886Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T21:01:36.886Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T21:01:36.886Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T21:01:36.886Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20737.599 ms) ====== [2026-02-28T21:01:36.886Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-28T21:01:36.886Z] GC before operation: completed in 111.060 ms, heap usage 321.928 MB -> 91.414 MB. [2026-02-28T21:01:40.350Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T21:01:43.814Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T21:01:47.293Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T21:01:49.802Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T21:01:51.414Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T21:01:53.034Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T21:01:57.557Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T21:01:59.180Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T21:01:59.180Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T21:01:59.180Z] The best model improves the baseline by 14.43%. [2026-02-28T21:01:59.180Z] Top recommended movies for user id 72: [2026-02-28T21:01:59.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T21:01:59.180Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T21:01:59.180Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T21:01:59.180Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T21:01:59.180Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T21:01:59.180Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22276.603 ms) ====== [2026-02-28T21:01:59.180Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-28T21:01:59.961Z] GC before operation: completed in 135.725 ms, heap usage 324.694 MB -> 91.718 MB. [2026-02-28T21:02:02.468Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T21:02:05.954Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T21:02:09.418Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T21:02:12.880Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T21:02:14.491Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T21:02:16.103Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T21:02:18.617Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T21:02:20.288Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T21:02:20.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-28T21:02:20.288Z] The best model improves the baseline by 14.43%. [2026-02-28T21:02:20.288Z] Top recommended movies for user id 72: [2026-02-28T21:02:20.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-28T21:02:20.288Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-28T21:02:20.288Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-28T21:02:20.288Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-28T21:02:20.288Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-28T21:02:20.288Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20652.963 ms) ====== [2026-02-28T21:02:21.066Z] ----------------------------------- [2026-02-28T21:02:21.066Z] renaissance-movie-lens_0_PASSED [2026-02-28T21:02:21.066Z] ----------------------------------- [2026-02-28T21:02:21.066Z] [2026-02-28T21:02:21.066Z] TEST TEARDOWN: [2026-02-28T21:02:21.066Z] Nothing to be done for teardown. [2026-02-28T21:02:21.066Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 21:02:20 2026 Epoch Time (ms): 1772312540914