[2026-01-22T19:16:15.116Z] Running test renaissance-movie-lens_0 ... [2026-01-22T19:16:15.116Z] =============================================== [2026-01-22T19:16:15.116Z] renaissance-movie-lens_0 Start Time: Thu Jan 22 19:16:14 2026 Epoch Time (ms): 1769109374725 [2026-01-22T19:16:15.116Z] variation: NoOptions [2026-01-22T19:16:15.116Z] JVM_OPTIONS: [2026-01-22T19:16:15.116Z] { \ [2026-01-22T19:16:15.116Z] echo ""; echo "TEST SETUP:"; \ [2026-01-22T19:16:15.116Z] echo "Nothing to be done for setup."; \ [2026-01-22T19:16:15.116Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17691082126297/renaissance-movie-lens_0"; \ [2026-01-22T19:16:15.116Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17691082126297/renaissance-movie-lens_0"; \ [2026-01-22T19:16:15.116Z] echo ""; echo "TESTING:"; \ [2026-01-22T19:16:15.116Z] "/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_17691082126297/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-22T19:16:15.116Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17691082126297/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-22T19:16:15.116Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-22T19:16:15.116Z] echo "Nothing to be done for teardown."; \ [2026-01-22T19:16:15.116Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17691082126297/TestTargetResult"; [2026-01-22T19:16:15.116Z] [2026-01-22T19:16:15.116Z] TEST SETUP: [2026-01-22T19:16:15.116Z] Nothing to be done for setup. [2026-01-22T19:16:15.116Z] [2026-01-22T19:16:15.116Z] TESTING: [2026-01-22T19:16:16.728Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-22T19:16:16.728Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17691082126297/renaissance-movie-lens_0/launcher-191615-2548412160373670510/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-22T19:16:16.728Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-22T19:16:16.728Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-22T19:16:36.006Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-01-22T19:16:46.437Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-22T19:16:47.221Z] Training: 60056, validation: 20285, test: 19854 [2026-01-22T19:16:47.221Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-22T19:16:47.221Z] GC before operation: completed in 133.674 ms, heap usage 421.840 MB -> 75.602 MB. [2026-01-22T19:16:52.664Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:16:55.349Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:16:59.872Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:17:02.383Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:17:04.897Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:17:07.403Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:17:10.877Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:17:13.376Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:17:13.376Z] 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. [2026-01-22T19:17:13.376Z] The best model improves the baseline by 14.43%. [2026-01-22T19:17:14.156Z] Top recommended movies for user id 72: [2026-01-22T19:17:14.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:17:14.156Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:17:14.156Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:17:14.156Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:17:14.156Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:17:14.156Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26815.840 ms) ====== [2026-01-22T19:17:14.156Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-22T19:17:14.156Z] GC before operation: completed in 166.623 ms, heap usage 1.015 GB -> 93.369 MB. [2026-01-22T19:17:17.634Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:17:20.140Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:17:24.675Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:17:27.206Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:17:28.832Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:17:30.445Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:17:32.970Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:17:34.588Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:17:34.588Z] 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. [2026-01-22T19:17:34.588Z] The best model improves the baseline by 14.43%. [2026-01-22T19:17:35.750Z] Top recommended movies for user id 72: [2026-01-22T19:17:35.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:17:35.750Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:17:35.750Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:17:35.750Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:17:35.750Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:17:35.750Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21142.577 ms) ====== [2026-01-22T19:17:35.750Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-22T19:17:35.750Z] GC before operation: completed in 170.150 ms, heap usage 2.160 GB -> 96.019 MB. [2026-01-22T19:17:38.278Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:17:41.766Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:17:45.237Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:17:48.707Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:17:50.377Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:17:52.018Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:17:54.538Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:17:56.154Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:17:56.934Z] 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. [2026-01-22T19:17:56.934Z] The best model improves the baseline by 14.43%. [2026-01-22T19:17:56.934Z] Top recommended movies for user id 72: [2026-01-22T19:17:56.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:17:56.934Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:17:56.934Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:17:56.934Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:17:56.934Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:17:56.934Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21613.156 ms) ====== [2026-01-22T19:17:56.934Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-22T19:17:56.934Z] GC before operation: completed in 129.801 ms, heap usage 781.843 MB -> 94.211 MB. [2026-01-22T19:18:00.400Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:18:02.956Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:18:06.430Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:18:09.895Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:18:11.517Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:18:14.065Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:18:17.532Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:18:19.146Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:18:19.147Z] 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. [2026-01-22T19:18:19.147Z] The best model improves the baseline by 14.43%. [2026-01-22T19:18:19.928Z] Top recommended movies for user id 72: [2026-01-22T19:18:19.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:18:19.928Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:18:19.928Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:18:19.928Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:18:19.928Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:18:19.928Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22618.580 ms) ====== [2026-01-22T19:18:19.928Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-22T19:18:19.928Z] GC before operation: completed in 116.580 ms, heap usage 334.634 MB -> 91.166 MB. [2026-01-22T19:18:22.435Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:18:25.943Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:18:29.412Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:18:31.915Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:18:33.529Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:18:35.177Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:18:37.715Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:18:40.252Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:18:40.252Z] 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. [2026-01-22T19:18:40.252Z] The best model improves the baseline by 14.43%. [2026-01-22T19:18:40.252Z] Top recommended movies for user id 72: [2026-01-22T19:18:40.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:18:40.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:18:40.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:18:40.252Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:18:40.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:18:40.252Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20655.873 ms) ====== [2026-01-22T19:18:40.252Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-22T19:18:40.252Z] GC before operation: completed in 128.538 ms, heap usage 316.923 MB -> 91.245 MB. [2026-01-22T19:18:43.736Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:18:47.224Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:18:50.707Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:18:54.182Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:18:55.804Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:18:57.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:18:59.927Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:19:01.568Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:19:02.357Z] 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. [2026-01-22T19:19:02.357Z] The best model improves the baseline by 14.43%. [2026-01-22T19:19:02.357Z] Top recommended movies for user id 72: [2026-01-22T19:19:02.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:19:02.357Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:19:02.357Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:19:02.357Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:19:02.357Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:19:02.357Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21789.277 ms) ====== [2026-01-22T19:19:02.357Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-22T19:19:02.357Z] GC before operation: completed in 144.121 ms, heap usage 1.847 GB -> 97.278 MB. [2026-01-22T19:19:05.831Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:19:08.360Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:19:11.828Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:19:15.322Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:19:17.788Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:19:18.569Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:19:20.199Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:19:21.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:19:22.606Z] 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. [2026-01-22T19:19:22.607Z] The best model improves the baseline by 14.43%. [2026-01-22T19:19:22.607Z] Top recommended movies for user id 72: [2026-01-22T19:19:22.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:19:22.607Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:19:22.607Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:19:22.607Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:19:22.607Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:19:22.607Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20031.526 ms) ====== [2026-01-22T19:19:22.607Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-22T19:19:22.607Z] GC before operation: completed in 139.040 ms, heap usage 1.741 GB -> 97.049 MB. [2026-01-22T19:19:26.089Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:19:28.592Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:19:33.123Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:19:35.697Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:19:37.311Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:19:38.945Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:19:41.452Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:19:43.071Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:19:43.851Z] 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. [2026-01-22T19:19:43.851Z] The best model improves the baseline by 14.43%. [2026-01-22T19:19:43.851Z] Top recommended movies for user id 72: [2026-01-22T19:19:43.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:19:43.851Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:19:43.851Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:19:43.851Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:19:43.851Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:19:43.851Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21121.122 ms) ====== [2026-01-22T19:19:43.851Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-22T19:19:43.851Z] GC before operation: completed in 126.973 ms, heap usage 319.873 MB -> 91.675 MB. [2026-01-22T19:19:47.354Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:19:49.861Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:19:54.382Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:19:56.891Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:19:59.397Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:20:01.019Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:20:03.597Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:20:05.212Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:20:05.212Z] 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. [2026-01-22T19:20:05.212Z] The best model improves the baseline by 14.43%. [2026-01-22T19:20:05.993Z] Top recommended movies for user id 72: [2026-01-22T19:20:05.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:20:05.993Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:20:05.993Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:20:05.993Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:20:05.993Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:20:05.993Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21713.930 ms) ====== [2026-01-22T19:20:05.993Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-22T19:20:05.993Z] GC before operation: completed in 129.153 ms, heap usage 680.902 MB -> 95.127 MB. [2026-01-22T19:20:08.498Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:20:11.974Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:20:15.443Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:20:18.911Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:20:20.526Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:20:22.136Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:20:24.658Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:20:26.270Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:20:27.051Z] 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. [2026-01-22T19:20:27.052Z] The best model improves the baseline by 14.43%. [2026-01-22T19:20:27.052Z] Top recommended movies for user id 72: [2026-01-22T19:20:27.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:20:27.052Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:20:27.052Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:20:27.052Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:20:27.052Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:20:27.052Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21181.362 ms) ====== [2026-01-22T19:20:27.052Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-22T19:20:27.052Z] GC before operation: completed in 139.659 ms, heap usage 2.328 GB -> 98.077 MB. [2026-01-22T19:20:30.541Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:20:33.057Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:20:36.532Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:20:39.049Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:20:40.678Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:20:42.297Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:20:44.814Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:20:46.447Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:20:47.242Z] 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. [2026-01-22T19:20:47.242Z] The best model improves the baseline by 14.43%. [2026-01-22T19:20:47.242Z] Top recommended movies for user id 72: [2026-01-22T19:20:47.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:20:47.242Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:20:47.242Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:20:47.242Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:20:47.242Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:20:47.242Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20272.835 ms) ====== [2026-01-22T19:20:47.242Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-22T19:20:47.242Z] GC before operation: completed in 130.113 ms, heap usage 2.466 GB -> 97.493 MB. [2026-01-22T19:20:50.720Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:20:53.226Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:20:57.075Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:20:59.607Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:21:01.223Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:21:03.728Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:21:05.343Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:21:07.868Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:21:07.868Z] 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. [2026-01-22T19:21:07.868Z] The best model improves the baseline by 14.43%. [2026-01-22T19:21:07.868Z] Top recommended movies for user id 72: [2026-01-22T19:21:07.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:21:07.868Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:21:07.868Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:21:07.868Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:21:07.868Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:21:07.868Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20668.548 ms) ====== [2026-01-22T19:21:07.868Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-22T19:21:08.652Z] GC before operation: completed in 118.149 ms, heap usage 266.297 MB -> 91.679 MB. [2026-01-22T19:21:11.156Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:21:14.625Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:21:18.099Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:21:21.588Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:21:23.205Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:21:25.721Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:21:27.349Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:21:29.853Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:21:29.853Z] 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. [2026-01-22T19:21:29.853Z] The best model improves the baseline by 14.43%. [2026-01-22T19:21:29.853Z] Top recommended movies for user id 72: [2026-01-22T19:21:29.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:21:29.853Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:21:29.853Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:21:29.853Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:21:29.853Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:21:29.853Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21669.637 ms) ====== [2026-01-22T19:21:29.853Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-22T19:21:29.853Z] GC before operation: completed in 119.173 ms, heap usage 532.112 MB -> 92.052 MB. [2026-01-22T19:21:33.326Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:21:36.798Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:21:40.274Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:21:42.787Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:21:44.412Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:21:46.946Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:21:48.569Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:21:51.094Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:21:51.094Z] 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. [2026-01-22T19:21:51.094Z] The best model improves the baseline by 14.43%. [2026-01-22T19:21:51.094Z] Top recommended movies for user id 72: [2026-01-22T19:21:51.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:21:51.094Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:21:51.094Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:21:51.094Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:21:51.094Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:21:51.094Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21217.392 ms) ====== [2026-01-22T19:21:51.094Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-22T19:21:51.094Z] GC before operation: completed in 118.666 ms, heap usage 134.151 MB -> 91.532 MB. [2026-01-22T19:21:54.565Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:21:57.270Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:22:01.791Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:22:04.309Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:22:06.824Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:22:08.449Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:22:10.967Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:22:12.578Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:22:12.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-22T19:22:13.359Z] The best model improves the baseline by 14.43%. [2026-01-22T19:22:13.359Z] Top recommended movies for user id 72: [2026-01-22T19:22:13.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:22:13.359Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:22:13.359Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:22:13.359Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:22:13.359Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:22:13.359Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21795.763 ms) ====== [2026-01-22T19:22:13.359Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-22T19:22:13.359Z] GC before operation: completed in 115.797 ms, heap usage 189.623 MB -> 94.865 MB. [2026-01-22T19:22:16.832Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:22:19.347Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:22:22.900Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:22:26.368Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:22:27.981Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:22:30.494Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:22:32.108Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:22:34.633Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:22:34.633Z] 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. [2026-01-22T19:22:34.633Z] The best model improves the baseline by 14.43%. [2026-01-22T19:22:34.633Z] Top recommended movies for user id 72: [2026-01-22T19:22:34.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:22:34.633Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:22:34.633Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:22:34.633Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:22:34.633Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:22:34.633Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21521.363 ms) ====== [2026-01-22T19:22:34.633Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-22T19:22:34.633Z] GC before operation: completed in 125.148 ms, heap usage 2.471 GB -> 97.849 MB. [2026-01-22T19:22:38.333Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:22:40.837Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:22:44.317Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:22:47.785Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:22:48.590Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:22:50.215Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:22:52.721Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:22:54.342Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:22:54.342Z] 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. [2026-01-22T19:22:54.342Z] The best model improves the baseline by 14.43%. [2026-01-22T19:22:54.342Z] Top recommended movies for user id 72: [2026-01-22T19:22:54.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:22:54.342Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:22:54.342Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:22:54.342Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:22:54.342Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:22:54.342Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19712.605 ms) ====== [2026-01-22T19:22:54.342Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-22T19:22:55.123Z] GC before operation: completed in 127.155 ms, heap usage 2.597 GB -> 97.950 MB. [2026-01-22T19:22:57.637Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:23:00.149Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:23:04.749Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:23:07.254Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:23:08.866Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:23:10.491Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:23:13.034Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:23:14.646Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:23:15.428Z] 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. [2026-01-22T19:23:15.428Z] The best model improves the baseline by 14.43%. [2026-01-22T19:23:15.428Z] Top recommended movies for user id 72: [2026-01-22T19:23:15.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:23:15.428Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:23:15.428Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:23:15.428Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:23:15.428Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:23:15.428Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20540.687 ms) ====== [2026-01-22T19:23:15.428Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-22T19:23:15.428Z] GC before operation: completed in 126.423 ms, heap usage 319.861 MB -> 91.741 MB. [2026-01-22T19:23:18.912Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:23:21.430Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:23:25.973Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:23:28.487Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:23:30.997Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:23:32.610Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:23:35.132Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:23:36.752Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:23:37.537Z] 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. [2026-01-22T19:23:37.537Z] The best model improves the baseline by 14.43%. [2026-01-22T19:23:37.537Z] Top recommended movies for user id 72: [2026-01-22T19:23:37.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:23:37.537Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:23:37.537Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:23:37.537Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:23:37.537Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:23:37.537Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21935.950 ms) ====== [2026-01-22T19:23:37.537Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-22T19:23:37.537Z] GC before operation: completed in 122.374 ms, heap usage 1.138 GB -> 96.332 MB. [2026-01-22T19:23:41.023Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T19:23:43.533Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T19:23:48.098Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T19:23:50.605Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T19:23:52.216Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T19:23:53.827Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T19:23:56.327Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T19:23:57.949Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T19:23:57.949Z] 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. [2026-01-22T19:23:57.949Z] The best model improves the baseline by 14.43%. [2026-01-22T19:23:57.949Z] Top recommended movies for user id 72: [2026-01-22T19:23:57.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-22T19:23:57.949Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-22T19:23:57.949Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-22T19:23:57.949Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-22T19:23:57.949Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-22T19:23:57.949Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20723.610 ms) ====== [2026-01-22T19:23:58.729Z] ----------------------------------- [2026-01-22T19:23:58.729Z] renaissance-movie-lens_0_PASSED [2026-01-22T19:23:58.729Z] ----------------------------------- [2026-01-22T19:23:58.729Z] [2026-01-22T19:23:58.729Z] TEST TEARDOWN: [2026-01-22T19:23:58.729Z] Nothing to be done for teardown. [2026-01-22T19:23:58.729Z] renaissance-movie-lens_0 Finish Time: Thu Jan 22 19:23:58 2026 Epoch Time (ms): 1769109838557