[2026-01-24T15:38:41.321Z] Running test renaissance-movie-lens_0 ... [2026-01-24T15:38:41.322Z] =============================================== [2026-01-24T15:38:41.322Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 15:38:40 2026 Epoch Time (ms): 1769269120626 [2026-01-24T15:38:41.322Z] variation: NoOptions [2026-01-24T15:38:41.322Z] JVM_OPTIONS: [2026-01-24T15:38:41.322Z] { \ [2026-01-24T15:38:41.322Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T15:38:41.322Z] echo "Nothing to be done for setup."; \ [2026-01-24T15:38:41.322Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17692679377638/renaissance-movie-lens_0"; \ [2026-01-24T15:38:41.322Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17692679377638/renaissance-movie-lens_0"; \ [2026-01-24T15:38:41.322Z] echo ""; echo "TESTING:"; \ [2026-01-24T15:38:41.322Z] "/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_17692679377638/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T15:38:41.322Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17692679377638/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T15:38:41.322Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T15:38:41.322Z] echo "Nothing to be done for teardown."; \ [2026-01-24T15:38:41.322Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17692679377638/TestTargetResult"; [2026-01-24T15:38:41.322Z] [2026-01-24T15:38:41.322Z] TEST SETUP: [2026-01-24T15:38:41.322Z] Nothing to be done for setup. [2026-01-24T15:38:41.322Z] [2026-01-24T15:38:41.322Z] TESTING: [2026-01-24T15:38:42.099Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T15:38:42.099Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17692679377638/renaissance-movie-lens_0/launcher-153840-6222439863040486581/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T15:38:42.099Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T15:38:42.099Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T15:39:04.469Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-01-24T15:39:14.520Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T15:39:14.520Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T15:39:14.520Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T15:39:15.301Z] GC before operation: completed in 156.723 ms, heap usage 554.361 MB -> 75.209 MB. [2026-01-24T15:39:20.976Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:39:24.443Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:39:27.923Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:39:32.438Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:39:34.053Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:39:35.667Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:39:38.163Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:39:40.680Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:39:40.680Z] 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. [2026-01-24T15:39:40.680Z] The best model improves the baseline by 14.43%. [2026-01-24T15:39:40.680Z] Top recommended movies for user id 72: [2026-01-24T15:39:40.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:39:40.680Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:39:40.680Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:39:40.680Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:39:40.680Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:39:40.680Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25747.576 ms) ====== [2026-01-24T15:39:40.680Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T15:39:40.680Z] GC before operation: completed in 176.082 ms, heap usage 2.288 GB -> 94.724 MB. [2026-01-24T15:39:44.168Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:39:47.633Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:39:52.152Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:39:55.631Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:39:57.253Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:39:59.769Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:40:02.270Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:40:03.885Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:40:03.885Z] 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. [2026-01-24T15:40:03.885Z] The best model improves the baseline by 14.43%. [2026-01-24T15:40:04.663Z] Top recommended movies for user id 72: [2026-01-24T15:40:04.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:40:04.663Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:40:04.663Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:40:04.663Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:40:04.663Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:40:04.663Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23575.481 ms) ====== [2026-01-24T15:40:04.663Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T15:40:04.663Z] GC before operation: completed in 142.729 ms, heap usage 247.296 MB -> 89.513 MB. [2026-01-24T15:40:07.669Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:40:11.148Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:40:15.678Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:40:18.225Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:40:20.751Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:40:22.374Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:40:24.874Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:40:26.482Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:40:26.482Z] 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. [2026-01-24T15:40:26.482Z] The best model improves the baseline by 14.43%. [2026-01-24T15:40:26.482Z] Top recommended movies for user id 72: [2026-01-24T15:40:26.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:40:26.482Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:40:26.482Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:40:26.482Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:40:26.482Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:40:26.482Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22127.562 ms) ====== [2026-01-24T15:40:26.482Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T15:40:27.260Z] GC before operation: completed in 175.421 ms, heap usage 2.523 GB -> 96.882 MB. [2026-01-24T15:40:29.775Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:40:33.256Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:40:37.811Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:40:41.303Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:40:42.940Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:40:45.450Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:40:47.079Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:40:50.013Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:40:50.013Z] 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. [2026-01-24T15:40:50.013Z] The best model improves the baseline by 14.43%. [2026-01-24T15:40:50.013Z] Top recommended movies for user id 72: [2026-01-24T15:40:50.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:40:50.013Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:40:50.013Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:40:50.013Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:40:50.013Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:40:50.013Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23013.482 ms) ====== [2026-01-24T15:40:50.013Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T15:40:50.801Z] GC before operation: completed in 174.401 ms, heap usage 316.411 MB -> 90.713 MB. [2026-01-24T15:40:53.307Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:40:56.782Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:41:00.249Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:41:03.716Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:41:05.336Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:41:06.948Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:41:09.464Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:41:11.085Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:41:11.085Z] 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. [2026-01-24T15:41:11.085Z] The best model improves the baseline by 14.43%. [2026-01-24T15:41:11.085Z] Top recommended movies for user id 72: [2026-01-24T15:41:11.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:41:11.085Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:41:11.085Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:41:11.085Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:41:11.085Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:41:11.085Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21280.255 ms) ====== [2026-01-24T15:41:11.085Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T15:41:11.865Z] GC before operation: completed in 167.281 ms, heap usage 2.915 GB -> 97.044 MB. [2026-01-24T15:41:14.389Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:41:17.875Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:41:22.423Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:41:24.938Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:41:27.438Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:41:29.048Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:41:31.552Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:41:33.162Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:41:33.162Z] 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. [2026-01-24T15:41:33.942Z] The best model improves the baseline by 14.43%. [2026-01-24T15:41:33.942Z] Top recommended movies for user id 72: [2026-01-24T15:41:33.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:41:33.942Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:41:33.942Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:41:33.942Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:41:33.942Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:41:33.942Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22163.614 ms) ====== [2026-01-24T15:41:33.942Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T15:41:33.942Z] GC before operation: completed in 162.519 ms, heap usage 1.135 GB -> 95.337 MB. [2026-01-24T15:41:37.411Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:41:39.924Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:41:45.593Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:41:49.063Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:41:50.676Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:41:52.286Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:41:54.803Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:41:56.446Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:41:56.446Z] 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. [2026-01-24T15:41:56.446Z] The best model improves the baseline by 14.43%. [2026-01-24T15:41:56.446Z] Top recommended movies for user id 72: [2026-01-24T15:41:56.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:41:56.446Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:41:56.446Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:41:56.446Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:41:56.446Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:41:56.446Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22747.207 ms) ====== [2026-01-24T15:41:56.446Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T15:41:56.446Z] GC before operation: completed in 161.118 ms, heap usage 900.268 MB -> 94.668 MB. [2026-01-24T15:41:59.908Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:42:03.374Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:42:06.868Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:42:10.350Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:42:11.979Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:42:14.575Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:42:17.087Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:42:18.728Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:42:18.728Z] 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. [2026-01-24T15:42:18.728Z] The best model improves the baseline by 14.43%. [2026-01-24T15:42:19.508Z] Top recommended movies for user id 72: [2026-01-24T15:42:19.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:42:19.508Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:42:19.508Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:42:19.508Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:42:19.508Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:42:19.508Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22436.435 ms) ====== [2026-01-24T15:42:19.508Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T15:42:19.508Z] GC before operation: completed in 158.436 ms, heap usage 333.045 MB -> 91.198 MB. [2026-01-24T15:42:22.984Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:42:25.485Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:42:29.998Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:42:33.475Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:42:35.088Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:42:36.699Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:42:39.212Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:42:40.831Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:42:41.613Z] 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. [2026-01-24T15:42:41.613Z] The best model improves the baseline by 14.43%. [2026-01-24T15:42:41.613Z] Top recommended movies for user id 72: [2026-01-24T15:42:41.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:42:41.613Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:42:41.613Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:42:41.613Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:42:41.613Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:42:41.613Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22128.755 ms) ====== [2026-01-24T15:42:41.613Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T15:42:41.613Z] GC before operation: completed in 146.289 ms, heap usage 281.638 MB -> 91.042 MB. [2026-01-24T15:42:45.110Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:42:48.579Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:42:52.060Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:42:55.531Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:42:57.141Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:42:59.645Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:43:01.254Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:43:03.754Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:43:03.754Z] 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. [2026-01-24T15:43:03.754Z] The best model improves the baseline by 14.43%. [2026-01-24T15:43:03.754Z] Top recommended movies for user id 72: [2026-01-24T15:43:03.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:43:03.754Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:43:03.754Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:43:03.754Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:43:03.754Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:43:03.754Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22267.962 ms) ====== [2026-01-24T15:43:03.754Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T15:43:03.754Z] GC before operation: completed in 157.390 ms, heap usage 279.581 MB -> 91.134 MB. [2026-01-24T15:43:07.216Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:43:10.699Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:43:14.195Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:43:17.221Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:43:19.724Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:43:21.335Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:43:23.838Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:43:25.467Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:43:25.467Z] 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. [2026-01-24T15:43:25.467Z] The best model improves the baseline by 14.43%. [2026-01-24T15:43:25.467Z] Top recommended movies for user id 72: [2026-01-24T15:43:25.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:43:25.467Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:43:25.467Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:43:25.467Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:43:25.467Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:43:25.467Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21502.509 ms) ====== [2026-01-24T15:43:25.467Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T15:43:25.467Z] GC before operation: completed in 165.301 ms, heap usage 137.506 MB -> 93.362 MB. [2026-01-24T15:43:28.939Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:43:32.404Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:43:35.871Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:43:39.340Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:43:41.849Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:43:43.460Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:43:45.964Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:43:47.597Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:43:47.597Z] 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. [2026-01-24T15:43:47.597Z] The best model improves the baseline by 14.43%. [2026-01-24T15:43:47.597Z] Top recommended movies for user id 72: [2026-01-24T15:43:47.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:43:47.597Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:43:47.597Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:43:47.597Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:43:47.597Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:43:47.597Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22132.004 ms) ====== [2026-01-24T15:43:47.597Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T15:43:48.375Z] GC before operation: completed in 155.127 ms, heap usage 294.422 MB -> 91.219 MB. [2026-01-24T15:43:50.885Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:43:54.347Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:43:57.810Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:44:01.453Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:44:03.063Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:44:05.566Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:44:07.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:44:08.811Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:44:09.597Z] 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. [2026-01-24T15:44:09.597Z] The best model improves the baseline by 14.43%. [2026-01-24T15:44:09.597Z] Top recommended movies for user id 72: [2026-01-24T15:44:09.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:44:09.597Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:44:09.597Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:44:09.597Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:44:09.597Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:44:09.598Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21609.217 ms) ====== [2026-01-24T15:44:09.598Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T15:44:09.598Z] GC before operation: completed in 152.336 ms, heap usage 235.093 MB -> 91.278 MB. [2026-01-24T15:44:13.061Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:44:16.521Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:44:20.002Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:44:23.485Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:44:25.666Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:44:27.288Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:44:29.791Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:44:31.424Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:44:32.204Z] 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. [2026-01-24T15:44:32.204Z] The best model improves the baseline by 14.43%. [2026-01-24T15:44:32.204Z] Top recommended movies for user id 72: [2026-01-24T15:44:32.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:44:32.204Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:44:32.204Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:44:32.204Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:44:32.204Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:44:32.204Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22369.181 ms) ====== [2026-01-24T15:44:32.204Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T15:44:32.204Z] GC before operation: completed in 164.328 ms, heap usage 283.151 MB -> 91.264 MB. [2026-01-24T15:44:35.663Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:44:38.169Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:44:41.638Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:44:45.104Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:44:46.742Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:44:49.246Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:44:50.861Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:44:53.365Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:44:53.365Z] 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. [2026-01-24T15:44:53.365Z] The best model improves the baseline by 14.43%. [2026-01-24T15:44:53.365Z] Top recommended movies for user id 72: [2026-01-24T15:44:53.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:44:53.365Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:44:53.365Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:44:53.365Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:44:53.365Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:44:53.365Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21209.794 ms) ====== [2026-01-24T15:44:53.365Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T15:44:53.365Z] GC before operation: completed in 161.779 ms, heap usage 347.583 MB -> 91.572 MB. [2026-01-24T15:44:56.827Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:44:59.332Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:45:03.876Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:45:06.393Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:45:08.019Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:45:10.521Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:45:12.150Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:45:14.662Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:45:14.662Z] 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. [2026-01-24T15:45:14.662Z] The best model improves the baseline by 14.43%. [2026-01-24T15:45:15.442Z] Top recommended movies for user id 72: [2026-01-24T15:45:15.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:45:15.442Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:45:15.442Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:45:15.442Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:45:15.442Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:45:15.442Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21399.810 ms) ====== [2026-01-24T15:45:15.442Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T15:45:15.442Z] GC before operation: completed in 169.336 ms, heap usage 320.040 MB -> 91.428 MB. [2026-01-24T15:45:18.917Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:45:22.397Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:45:25.868Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:45:28.388Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:45:30.920Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:45:33.244Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:45:34.855Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:45:36.503Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:45:37.285Z] 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. [2026-01-24T15:45:37.285Z] The best model improves the baseline by 14.43%. [2026-01-24T15:45:37.285Z] Top recommended movies for user id 72: [2026-01-24T15:45:37.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:45:37.285Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:45:37.285Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:45:37.285Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:45:37.285Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:45:37.285Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21929.247 ms) ====== [2026-01-24T15:45:37.285Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T15:45:37.285Z] GC before operation: completed in 152.186 ms, heap usage 316.788 MB -> 91.583 MB. [2026-01-24T15:45:40.762Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:45:43.274Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:45:47.827Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:45:50.334Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:45:51.945Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:45:54.477Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:45:58.995Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:46:00.608Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:46:00.608Z] 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. [2026-01-24T15:46:00.608Z] The best model improves the baseline by 14.43%. [2026-01-24T15:46:01.390Z] Top recommended movies for user id 72: [2026-01-24T15:46:01.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:46:01.390Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:46:01.390Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:46:01.390Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:46:01.390Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:46:01.390Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23607.691 ms) ====== [2026-01-24T15:46:01.390Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T15:46:01.390Z] GC before operation: completed in 157.962 ms, heap usage 316.171 MB -> 91.430 MB. [2026-01-24T15:46:03.892Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:46:07.367Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:46:10.829Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:46:14.311Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:46:15.918Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:46:17.528Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:46:20.031Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:46:21.646Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:46:22.428Z] 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. [2026-01-24T15:46:22.428Z] The best model improves the baseline by 14.43%. [2026-01-24T15:46:22.428Z] Top recommended movies for user id 72: [2026-01-24T15:46:22.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:46:22.428Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:46:22.428Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:46:22.428Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:46:22.428Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:46:22.428Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21293.684 ms) ====== [2026-01-24T15:46:22.428Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T15:46:22.428Z] GC before operation: completed in 154.998 ms, heap usage 132.108 MB -> 91.311 MB. [2026-01-24T15:46:25.903Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:46:29.376Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:46:32.848Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:46:35.363Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:46:36.975Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:46:39.494Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:46:40.916Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:46:42.537Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:46:42.537Z] 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. [2026-01-24T15:46:42.537Z] The best model improves the baseline by 14.43%. [2026-01-24T15:46:43.316Z] Top recommended movies for user id 72: [2026-01-24T15:46:43.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-24T15:46:43.316Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-24T15:46:43.316Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-24T15:46:43.316Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-24T15:46:43.316Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-24T15:46:43.316Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20451.355 ms) ====== [2026-01-24T15:46:43.316Z] ----------------------------------- [2026-01-24T15:46:43.316Z] renaissance-movie-lens_0_PASSED [2026-01-24T15:46:43.316Z] ----------------------------------- [2026-01-24T15:46:43.316Z] [2026-01-24T15:46:43.316Z] TEST TEARDOWN: [2026-01-24T15:46:43.316Z] Nothing to be done for teardown. [2026-01-24T15:46:43.316Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 15:46:43 2026 Epoch Time (ms): 1769269603208