[2026-03-07T14:57:07.676Z] Running test renaissance-movie-lens_0 ... [2026-03-07T14:57:07.676Z] =============================================== [2026-03-07T14:57:07.676Z] renaissance-movie-lens_0 Start Time: Sat Mar 7 14:57:07 2026 Epoch Time (ms): 1772895427710 [2026-03-07T14:57:07.676Z] variation: NoOptions [2026-03-07T14:57:07.676Z] JVM_OPTIONS: [2026-03-07T14:57:07.676Z] { \ [2026-03-07T14:57:07.676Z] echo ""; echo "TEST SETUP:"; \ [2026-03-07T14:57:07.676Z] echo "Nothing to be done for setup."; \ [2026-03-07T14:57:07.676Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17728942708446/renaissance-movie-lens_0"; \ [2026-03-07T14:57:07.676Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17728942708446/renaissance-movie-lens_0"; \ [2026-03-07T14:57:07.676Z] echo ""; echo "TESTING:"; \ [2026-03-07T14:57:07.676Z] "/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_17728942708446/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-07T14:57:07.676Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17728942708446/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-07T14:57:07.676Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-07T14:57:07.676Z] echo "Nothing to be done for teardown."; \ [2026-03-07T14:57:07.676Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17728942708446/TestTargetResult"; [2026-03-07T14:57:07.676Z] [2026-03-07T14:57:07.676Z] TEST SETUP: [2026-03-07T14:57:07.676Z] Nothing to be done for setup. [2026-03-07T14:57:07.676Z] [2026-03-07T14:57:07.676Z] TESTING: [2026-03-07T14:57:09.278Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-07T14:57:09.278Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17728942708446/renaissance-movie-lens_0/launcher-145708-14803973004104524922/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-07T14:57:09.278Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-07T14:57:09.278Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-07T14:57:31.396Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-03-07T14:57:39.799Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-07T14:57:39.799Z] Training: 60056, validation: 20285, test: 19854 [2026-03-07T14:57:39.799Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-07T14:57:39.799Z] GC before operation: completed in 140.286 ms, heap usage 506.799 MB -> 75.363 MB. [2026-03-07T14:57:45.448Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T14:57:48.904Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T14:57:53.595Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T14:57:56.103Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T14:57:58.614Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T14:58:01.107Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T14:58:03.612Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T14:58:06.124Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T14:58:06.124Z] 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. [2026-03-07T14:58:06.124Z] The best model improves the baseline by 14.43%. [2026-03-07T14:58:06.903Z] Top recommended movies for user id 72: [2026-03-07T14:58:06.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T14:58:06.903Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T14:58:06.903Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T14:58:06.903Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T14:58:06.903Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T14:58:06.903Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26982.629 ms) ====== [2026-03-07T14:58:06.903Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-07T14:58:06.903Z] GC before operation: completed in 153.544 ms, heap usage 287.744 MB -> 86.607 MB. [2026-03-07T14:58:10.363Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T14:58:13.816Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T14:58:17.272Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T14:58:26.190Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T14:58:26.190Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T14:58:26.190Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T14:58:28.820Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T14:58:31.029Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T14:58:31.029Z] 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. [2026-03-07T14:58:31.029Z] The best model improves the baseline by 14.43%. [2026-03-07T14:58:31.029Z] Top recommended movies for user id 72: [2026-03-07T14:58:31.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T14:58:31.029Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T14:58:31.029Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T14:58:31.029Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T14:58:31.029Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T14:58:31.029Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22004.236 ms) ====== [2026-03-07T14:58:31.029Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-07T14:58:31.029Z] GC before operation: completed in 138.284 ms, heap usage 1.132 GB -> 93.847 MB. [2026-03-07T14:58:33.963Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T14:58:36.177Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T14:58:39.632Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T14:58:42.139Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T14:58:44.642Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T14:58:46.260Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T14:58:48.757Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T14:58:50.362Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T14:58:51.139Z] 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. [2026-03-07T14:58:51.139Z] The best model improves the baseline by 14.43%. [2026-03-07T14:58:51.139Z] Top recommended movies for user id 72: [2026-03-07T14:58:51.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T14:58:51.139Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T14:58:51.139Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T14:58:51.140Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T14:58:51.140Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T14:58:51.140Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22146.519 ms) ====== [2026-03-07T14:58:51.140Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-07T14:58:51.140Z] GC before operation: completed in 137.986 ms, heap usage 320.326 MB -> 90.211 MB. [2026-03-07T14:58:54.643Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T14:58:57.140Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T14:59:01.650Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T14:59:04.140Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T14:59:05.760Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T14:59:07.365Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T14:59:09.860Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T14:59:11.473Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T14:59:11.473Z] 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. [2026-03-07T14:59:11.473Z] The best model improves the baseline by 14.43%. [2026-03-07T14:59:11.473Z] Top recommended movies for user id 72: [2026-03-07T14:59:11.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T14:59:11.473Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T14:59:11.473Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T14:59:11.473Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T14:59:11.473Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T14:59:11.473Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20596.727 ms) ====== [2026-03-07T14:59:11.473Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-07T14:59:12.254Z] GC before operation: completed in 146.147 ms, heap usage 1.020 GB -> 94.544 MB. [2026-03-07T14:59:14.750Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T14:59:18.204Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T14:59:21.655Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T14:59:25.116Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T14:59:26.731Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T14:59:28.344Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T14:59:30.839Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T14:59:32.459Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T14:59:33.236Z] 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. [2026-03-07T14:59:33.236Z] The best model improves the baseline by 14.43%. [2026-03-07T14:59:33.236Z] Top recommended movies for user id 72: [2026-03-07T14:59:33.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T14:59:33.236Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T14:59:33.236Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T14:59:33.236Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T14:59:33.236Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T14:59:33.236Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21233.532 ms) ====== [2026-03-07T14:59:33.236Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-07T14:59:33.236Z] GC before operation: completed in 137.446 ms, heap usage 302.575 MB -> 90.664 MB. [2026-03-07T14:59:36.690Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T14:59:39.194Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T14:59:43.701Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T14:59:46.208Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T14:59:48.718Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T14:59:50.339Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T14:59:51.947Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T14:59:54.458Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T14:59:54.458Z] 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. [2026-03-07T14:59:54.458Z] The best model improves the baseline by 14.43%. [2026-03-07T14:59:54.458Z] Top recommended movies for user id 72: [2026-03-07T14:59:54.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T14:59:54.458Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T14:59:54.458Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T14:59:54.458Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T14:59:54.458Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T14:59:54.458Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21148.010 ms) ====== [2026-03-07T14:59:54.458Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-07T14:59:54.458Z] GC before operation: completed in 145.524 ms, heap usage 367.042 MB -> 90.936 MB. [2026-03-07T14:59:57.909Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:00:01.364Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:00:04.842Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:00:07.350Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:00:09.857Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:00:11.487Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:00:13.993Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:00:15.608Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:00:15.608Z] 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. [2026-03-07T15:00:15.608Z] The best model improves the baseline by 14.43%. [2026-03-07T15:00:16.384Z] Top recommended movies for user id 72: [2026-03-07T15:00:16.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:00:16.384Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:00:16.384Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:00:16.384Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:00:16.384Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:00:16.384Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21371.953 ms) ====== [2026-03-07T15:00:16.384Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-07T15:00:16.384Z] GC before operation: completed in 143.944 ms, heap usage 860.220 MB -> 94.837 MB. [2026-03-07T15:00:18.893Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:00:22.374Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:00:25.949Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:00:28.455Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:00:30.058Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:00:32.554Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:00:34.168Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:00:36.673Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:00:36.673Z] 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. [2026-03-07T15:00:36.673Z] The best model improves the baseline by 14.43%. [2026-03-07T15:00:36.673Z] Top recommended movies for user id 72: [2026-03-07T15:00:36.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:00:36.673Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:00:36.673Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:00:36.673Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:00:36.673Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:00:36.673Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20586.575 ms) ====== [2026-03-07T15:00:36.673Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-07T15:00:36.673Z] GC before operation: completed in 147.028 ms, heap usage 128.753 MB -> 90.787 MB. [2026-03-07T15:00:40.128Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:00:43.590Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:00:47.051Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:00:49.543Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:00:51.165Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:00:53.663Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:00:55.273Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:00:56.886Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:00:56.886Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-07T15:00:56.886Z] The best model improves the baseline by 14.43%. [2026-03-07T15:00:57.664Z] Top recommended movies for user id 72: [2026-03-07T15:00:57.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:00:57.664Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:00:57.664Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:00:57.664Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:00:57.664Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:00:57.664Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20482.471 ms) ====== [2026-03-07T15:00:57.664Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-07T15:00:57.664Z] GC before operation: completed in 132.583 ms, heap usage 1.038 GB -> 95.112 MB. [2026-03-07T15:01:00.186Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:01:03.640Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:01:07.141Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:01:10.597Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:01:13.089Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:01:14.698Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:01:17.190Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:01:18.792Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:01:18.792Z] 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. [2026-03-07T15:01:18.792Z] The best model improves the baseline by 14.43%. [2026-03-07T15:01:19.577Z] Top recommended movies for user id 72: [2026-03-07T15:01:19.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:01:19.577Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:01:19.577Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:01:19.577Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:01:19.577Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:01:19.577Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21750.363 ms) ====== [2026-03-07T15:01:19.577Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-07T15:01:19.577Z] GC before operation: completed in 140.973 ms, heap usage 1.130 GB -> 95.707 MB. [2026-03-07T15:01:22.076Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:01:25.526Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:01:28.978Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:01:32.447Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:01:34.063Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:01:35.667Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:01:38.182Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:01:39.788Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:01:39.788Z] 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. [2026-03-07T15:01:39.788Z] The best model improves the baseline by 14.43%. [2026-03-07T15:01:39.788Z] Top recommended movies for user id 72: [2026-03-07T15:01:39.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:01:39.788Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:01:39.788Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:01:39.788Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:01:39.788Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:01:39.788Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20557.351 ms) ====== [2026-03-07T15:01:39.788Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-07T15:01:39.788Z] GC before operation: completed in 143.965 ms, heap usage 2.831 GB -> 97.053 MB. [2026-03-07T15:01:43.263Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:01:45.769Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:01:49.232Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:01:52.686Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:01:54.291Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:01:55.901Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:01:58.393Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:02:00.002Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:02:00.002Z] 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. [2026-03-07T15:02:00.002Z] The best model improves the baseline by 14.43%. [2026-03-07T15:02:00.777Z] Top recommended movies for user id 72: [2026-03-07T15:02:00.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:02:00.777Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:02:00.777Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:02:00.777Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:02:00.777Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:02:00.777Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20321.239 ms) ====== [2026-03-07T15:02:00.777Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-07T15:02:00.777Z] GC before operation: completed in 158.741 ms, heap usage 1.255 GB -> 95.693 MB. [2026-03-07T15:02:03.282Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:02:06.733Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:02:10.196Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:02:13.651Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:02:15.254Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:02:16.858Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:02:20.309Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:02:21.941Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:02:22.726Z] 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. [2026-03-07T15:02:22.726Z] The best model improves the baseline by 14.43%. [2026-03-07T15:02:22.726Z] Top recommended movies for user id 72: [2026-03-07T15:02:22.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:02:22.726Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:02:22.726Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:02:22.726Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:02:22.726Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:02:22.726Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21947.399 ms) ====== [2026-03-07T15:02:22.726Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-07T15:02:22.726Z] GC before operation: completed in 150.951 ms, heap usage 647.745 MB -> 91.372 MB. [2026-03-07T15:02:25.233Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:02:28.699Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:02:32.153Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:02:35.612Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:02:37.232Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:02:38.842Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:02:40.455Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:02:42.061Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:02:42.837Z] 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. [2026-03-07T15:02:42.837Z] The best model improves the baseline by 14.43%. [2026-03-07T15:02:42.837Z] Top recommended movies for user id 72: [2026-03-07T15:02:42.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:02:42.837Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:02:42.837Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:02:42.837Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:02:42.837Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:02:42.837Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20121.343 ms) ====== [2026-03-07T15:02:42.837Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-07T15:02:42.837Z] GC before operation: completed in 149.840 ms, heap usage 1.037 GB -> 95.264 MB. [2026-03-07T15:02:46.297Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:02:48.801Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:02:53.330Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:02:56.019Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:02:57.628Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:02:59.234Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:03:01.729Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:03:03.333Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:03:04.112Z] 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. [2026-03-07T15:03:04.112Z] The best model improves the baseline by 14.43%. [2026-03-07T15:03:04.112Z] Top recommended movies for user id 72: [2026-03-07T15:03:04.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:03:04.112Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:03:04.112Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:03:04.112Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:03:04.112Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:03:04.112Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21055.685 ms) ====== [2026-03-07T15:03:04.112Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-07T15:03:04.112Z] GC before operation: completed in 147.183 ms, heap usage 358.817 MB -> 91.250 MB. [2026-03-07T15:03:07.582Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:03:10.083Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:03:13.531Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:03:16.989Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:03:18.620Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:03:19.405Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:03:23.913Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:03:24.714Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:03:25.499Z] 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. [2026-03-07T15:03:25.499Z] The best model improves the baseline by 14.43%. [2026-03-07T15:03:25.499Z] Top recommended movies for user id 72: [2026-03-07T15:03:25.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:03:25.499Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:03:25.499Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:03:25.499Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:03:25.499Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:03:25.499Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21323.619 ms) ====== [2026-03-07T15:03:25.499Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-07T15:03:25.499Z] GC before operation: completed in 152.988 ms, heap usage 2.420 GB -> 97.439 MB. [2026-03-07T15:03:28.959Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:03:31.457Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:03:34.932Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:03:38.406Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:03:40.013Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:03:41.624Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:03:43.226Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:03:44.847Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:03:45.626Z] 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. [2026-03-07T15:03:45.626Z] The best model improves the baseline by 14.43%. [2026-03-07T15:03:45.626Z] Top recommended movies for user id 72: [2026-03-07T15:03:45.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:03:45.626Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:03:45.626Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:03:45.626Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:03:45.626Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:03:45.626Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20016.284 ms) ====== [2026-03-07T15:03:45.626Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-07T15:03:45.626Z] GC before operation: completed in 167.404 ms, heap usage 1.931 GB -> 97.020 MB. [2026-03-07T15:03:49.079Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:03:51.575Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:03:56.782Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:03:58.347Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:04:00.264Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:04:02.977Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:04:03.773Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:04:06.743Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:04:06.743Z] 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. [2026-03-07T15:04:06.743Z] The best model improves the baseline by 14.43%. [2026-03-07T15:04:06.743Z] Top recommended movies for user id 72: [2026-03-07T15:04:06.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:04:06.743Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:04:06.743Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:04:06.743Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:04:06.743Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:04:06.743Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20597.183 ms) ====== [2026-03-07T15:04:06.743Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-07T15:04:06.743Z] GC before operation: completed in 142.402 ms, heap usage 320.164 MB -> 90.978 MB. [2026-03-07T15:04:09.240Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:04:12.693Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:04:16.146Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:04:19.615Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:04:21.215Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:04:22.816Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:04:26.266Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:04:27.869Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:04:28.653Z] 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. [2026-03-07T15:04:28.653Z] The best model improves the baseline by 14.43%. [2026-03-07T15:04:28.653Z] Top recommended movies for user id 72: [2026-03-07T15:04:28.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:04:28.653Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:04:28.653Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:04:28.653Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:04:28.653Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:04:28.653Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21991.632 ms) ====== [2026-03-07T15:04:28.653Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-07T15:04:28.653Z] GC before operation: completed in 142.355 ms, heap usage 319.533 MB -> 91.182 MB. [2026-03-07T15:04:32.111Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T15:04:34.603Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T15:04:38.062Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T15:04:41.515Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T15:04:43.117Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T15:04:44.728Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T15:04:47.262Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T15:04:48.865Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T15:04:48.865Z] 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. [2026-03-07T15:04:48.865Z] The best model improves the baseline by 14.43%. [2026-03-07T15:04:48.865Z] Top recommended movies for user id 72: [2026-03-07T15:04:48.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-07T15:04:48.865Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-07T15:04:48.865Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-07T15:04:48.865Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-07T15:04:48.865Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-07T15:04:48.865Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20355.484 ms) ====== [2026-03-07T15:04:49.641Z] ----------------------------------- [2026-03-07T15:04:49.641Z] renaissance-movie-lens_0_PASSED [2026-03-07T15:04:49.641Z] ----------------------------------- [2026-03-07T15:04:49.641Z] [2026-03-07T15:04:49.641Z] TEST TEARDOWN: [2026-03-07T15:04:49.641Z] Nothing to be done for teardown. [2026-03-07T15:04:49.641Z] renaissance-movie-lens_0 Finish Time: Sat Mar 7 15:04:50 2026 Epoch Time (ms): 1772895890139