[2025-11-19T22:33:42.993Z] Running test renaissance-movie-lens_0 ... [2025-11-19T22:33:42.993Z] =============================================== [2025-11-19T22:33:42.993Z] renaissance-movie-lens_0 Start Time: Wed Nov 19 22:33:41 2025 Epoch Time (ms): 1763591621971 [2025-11-19T22:33:42.993Z] variation: NoOptions [2025-11-19T22:33:42.993Z] JVM_OPTIONS: [2025-11-19T22:33:42.993Z] { \ [2025-11-19T22:33:42.993Z] echo ""; echo "TEST SETUP:"; \ [2025-11-19T22:33:42.993Z] echo "Nothing to be done for setup."; \ [2025-11-19T22:33:42.993Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_176359030268/renaissance-movie-lens_0"; \ [2025-11-19T22:33:42.993Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_176359030268/renaissance-movie-lens_0"; \ [2025-11-19T22:33:42.993Z] echo ""; echo "TESTING:"; \ [2025-11-19T22:33:42.993Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_176359030268/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-19T22:33:42.993Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_176359030268/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-19T22:33:42.993Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-19T22:33:42.993Z] echo "Nothing to be done for teardown."; \ [2025-11-19T22:33:42.993Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_176359030268/TestTargetResult"; [2025-11-19T22:33:42.993Z] [2025-11-19T22:33:42.993Z] TEST SETUP: [2025-11-19T22:33:42.993Z] Nothing to be done for setup. [2025-11-19T22:33:42.993Z] [2025-11-19T22:33:42.993Z] TESTING: [2025-11-19T22:33:49.897Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-11-19T22:33:59.850Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-19T22:34:00.620Z] Training: 60056, validation: 20285, test: 19854 [2025-11-19T22:34:00.620Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-19T22:34:00.620Z] GC before operation: completed in 145.268 ms, heap usage 736.143 MB -> 75.765 MB. [2025-11-19T22:34:06.364Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:34:09.819Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:34:13.307Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:34:15.822Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:34:18.382Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:34:19.986Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:34:21.577Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:34:24.061Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:34:24.061Z] 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. [2025-11-19T22:34:24.061Z] The best model improves the baseline by 14.43%. [2025-11-19T22:34:24.061Z] Top recommended movies for user id 72: [2025-11-19T22:34:24.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:34:24.061Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:34:24.061Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:34:24.061Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:34:24.061Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:34:24.061Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23738.423 ms) ====== [2025-11-19T22:34:24.061Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-19T22:34:24.836Z] GC before operation: completed in 165.908 ms, heap usage 186.744 MB -> 90.619 MB. [2025-11-19T22:34:27.320Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:34:30.764Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:34:34.193Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:34:37.638Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:34:39.230Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:34:40.823Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:34:43.294Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:34:44.919Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:34:44.919Z] 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. [2025-11-19T22:34:44.919Z] The best model improves the baseline by 14.43%. [2025-11-19T22:34:45.717Z] Top recommended movies for user id 72: [2025-11-19T22:34:45.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:34:45.717Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:34:45.717Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:34:45.717Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:34:45.717Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:34:45.717Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21001.331 ms) ====== [2025-11-19T22:34:45.717Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-19T22:34:45.717Z] GC before operation: completed in 150.320 ms, heap usage 320.297 MB -> 90.613 MB. [2025-11-19T22:34:49.209Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:34:51.728Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:34:55.226Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:34:57.789Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:35:00.600Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:35:02.215Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:35:03.822Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:35:05.442Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:35:06.221Z] 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. [2025-11-19T22:35:06.221Z] The best model improves the baseline by 14.43%. [2025-11-19T22:35:06.221Z] Top recommended movies for user id 72: [2025-11-19T22:35:06.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:35:06.221Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:35:06.221Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:35:06.221Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:35:06.221Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:35:06.221Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20508.834 ms) ====== [2025-11-19T22:35:06.221Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-19T22:35:06.221Z] GC before operation: completed in 162.032 ms, heap usage 325.856 MB -> 91.154 MB. [2025-11-19T22:35:12.892Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:35:12.892Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:35:18.563Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:35:21.851Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:35:21.851Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:35:24.418Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:35:26.929Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:35:26.929Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:35:26.929Z] 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. [2025-11-19T22:35:26.929Z] The best model improves the baseline by 14.43%. [2025-11-19T22:35:26.929Z] Top recommended movies for user id 72: [2025-11-19T22:35:26.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:35:26.929Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:35:26.929Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:35:26.929Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:35:26.929Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:35:26.929Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20429.753 ms) ====== [2025-11-19T22:35:26.929Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-19T22:35:28.374Z] GC before operation: completed in 162.071 ms, heap usage 318.754 MB -> 91.418 MB. [2025-11-19T22:35:30.008Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:35:33.451Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:35:35.962Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:35:39.450Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:35:41.188Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:35:42.867Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:35:44.488Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:35:47.075Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:35:47.075Z] 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. [2025-11-19T22:35:47.075Z] The best model improves the baseline by 14.43%. [2025-11-19T22:35:47.075Z] Top recommended movies for user id 72: [2025-11-19T22:35:47.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:35:47.075Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:35:47.075Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:35:47.075Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:35:47.075Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:35:47.075Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20216.634 ms) ====== [2025-11-19T22:35:47.075Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-19T22:35:47.075Z] GC before operation: completed in 168.588 ms, heap usage 328.124 MB -> 91.452 MB. [2025-11-19T22:35:49.652Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:35:53.182Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:35:55.694Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:35:59.191Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:36:00.811Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:36:02.460Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:36:04.252Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:36:05.952Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:36:06.755Z] 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. [2025-11-19T22:36:06.755Z] The best model improves the baseline by 14.43%. [2025-11-19T22:36:06.755Z] Top recommended movies for user id 72: [2025-11-19T22:36:06.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:36:06.755Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:36:06.755Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:36:06.756Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:36:06.756Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:36:06.756Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19469.356 ms) ====== [2025-11-19T22:36:06.756Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-19T22:36:06.756Z] GC before operation: completed in 172.231 ms, heap usage 297.155 MB -> 91.679 MB. [2025-11-19T22:36:10.229Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:36:12.714Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:36:15.225Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:36:17.727Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:36:20.211Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:36:21.821Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:36:23.437Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:36:25.041Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:36:25.041Z] 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. [2025-11-19T22:36:25.041Z] The best model improves the baseline by 14.43%. [2025-11-19T22:36:25.041Z] Top recommended movies for user id 72: [2025-11-19T22:36:25.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:36:25.041Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:36:25.041Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:36:25.041Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:36:25.041Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:36:25.041Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18366.902 ms) ====== [2025-11-19T22:36:25.041Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-19T22:36:25.812Z] GC before operation: completed in 186.159 ms, heap usage 1.029 GB -> 95.659 MB. [2025-11-19T22:36:28.298Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:36:31.768Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:36:34.271Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:36:37.742Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:36:39.360Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:36:40.968Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:36:42.592Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:36:44.374Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:36:45.151Z] 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. [2025-11-19T22:36:45.151Z] The best model improves the baseline by 14.43%. [2025-11-19T22:36:45.151Z] Top recommended movies for user id 72: [2025-11-19T22:36:45.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:36:45.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:36:45.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:36:45.151Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:36:45.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:36:45.151Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19635.569 ms) ====== [2025-11-19T22:36:45.151Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-19T22:36:45.151Z] GC before operation: completed in 156.255 ms, heap usage 354.322 MB -> 92.043 MB. [2025-11-19T22:36:48.596Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:36:51.102Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:36:54.564Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:36:58.044Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:36:59.661Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:37:01.284Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:37:03.796Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:37:05.404Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:37:05.404Z] 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. [2025-11-19T22:37:05.404Z] The best model improves the baseline by 14.43%. [2025-11-19T22:37:05.404Z] Top recommended movies for user id 72: [2025-11-19T22:37:05.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:37:05.404Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:37:05.404Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:37:05.404Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:37:05.404Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:37:05.404Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20364.229 ms) ====== [2025-11-19T22:37:05.404Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-19T22:37:06.192Z] GC before operation: completed in 157.507 ms, heap usage 367.454 MB -> 92.076 MB. [2025-11-19T22:37:08.693Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:37:12.215Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:37:14.744Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:37:18.268Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:37:20.104Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:37:21.724Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:37:23.339Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:37:25.042Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:37:25.869Z] 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. [2025-11-19T22:37:25.869Z] The best model improves the baseline by 14.43%. [2025-11-19T22:37:25.869Z] Top recommended movies for user id 72: [2025-11-19T22:37:25.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:37:25.869Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:37:25.869Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:37:25.869Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:37:25.869Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:37:25.869Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20166.665 ms) ====== [2025-11-19T22:37:25.869Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-19T22:37:25.869Z] GC before operation: completed in 149.264 ms, heap usage 319.306 MB -> 92.373 MB. [2025-11-19T22:37:29.406Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:37:31.996Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:37:35.482Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:37:38.069Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:37:39.701Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:37:41.323Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:37:43.874Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:37:45.489Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:37:45.489Z] 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. [2025-11-19T22:37:45.489Z] The best model improves the baseline by 14.43%. [2025-11-19T22:37:45.489Z] Top recommended movies for user id 72: [2025-11-19T22:37:45.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:37:45.489Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:37:45.489Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:37:45.489Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:37:45.489Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:37:45.489Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19455.398 ms) ====== [2025-11-19T22:37:45.489Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-19T22:37:45.489Z] GC before operation: completed in 168.915 ms, heap usage 1.284 GB -> 96.605 MB. [2025-11-19T22:37:48.941Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:37:51.419Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:37:54.871Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:37:57.371Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:37:58.991Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:38:00.644Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:38:02.283Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:38:03.956Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:38:12.664Z] 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. [2025-11-19T22:38:12.664Z] The best model improves the baseline by 14.43%. [2025-11-19T22:38:12.664Z] Top recommended movies for user id 72: [2025-11-19T22:38:12.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:38:12.664Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:38:12.664Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:38:12.664Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:38:12.664Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:38:12.664Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18791.220 ms) ====== [2025-11-19T22:38:12.664Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-19T22:38:12.664Z] GC before operation: completed in 188.562 ms, heap usage 2.764 GB -> 98.540 MB. [2025-11-19T22:38:12.664Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:38:12.664Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:38:15.536Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:38:20.934Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:38:20.934Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:38:33.685Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:38:33.685Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:38:33.685Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:38:33.685Z] 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. [2025-11-19T22:38:33.685Z] The best model improves the baseline by 14.43%. [2025-11-19T22:38:33.685Z] Top recommended movies for user id 72: [2025-11-19T22:38:33.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:38:33.685Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:38:33.685Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:38:33.685Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:38:33.685Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:38:33.685Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19284.837 ms) ====== [2025-11-19T22:38:33.685Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-19T22:38:33.685Z] GC before operation: completed in 138.925 ms, heap usage 368.465 MB -> 92.459 MB. [2025-11-19T22:38:33.685Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:38:33.685Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:38:33.685Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:38:37.170Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:38:46.691Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:38:46.691Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:38:46.691Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:38:46.691Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:38:50.058Z] 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. [2025-11-19T22:38:50.058Z] The best model improves the baseline by 14.43%. [2025-11-19T22:38:50.058Z] Top recommended movies for user id 72: [2025-11-19T22:38:50.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:38:50.058Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:38:50.058Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:38:50.058Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:38:50.058Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:38:50.058Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20344.983 ms) ====== [2025-11-19T22:38:50.058Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-19T22:38:50.058Z] GC before operation: completed in 141.885 ms, heap usage 363.592 MB -> 92.096 MB. [2025-11-19T22:38:50.058Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:38:56.111Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:38:56.111Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:39:04.751Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:39:05.537Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:39:05.537Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:39:05.537Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:39:05.537Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:39:05.537Z] 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. [2025-11-19T22:39:05.537Z] The best model improves the baseline by 14.43%. [2025-11-19T22:39:05.537Z] Top recommended movies for user id 72: [2025-11-19T22:39:05.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:39:05.537Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:39:05.537Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:39:05.537Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:39:05.537Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:39:05.537Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19624.843 ms) ====== [2025-11-19T22:39:05.537Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-19T22:39:05.537Z] GC before operation: completed in 143.851 ms, heap usage 231.264 MB -> 92.315 MB. [2025-11-19T22:39:07.138Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:39:09.621Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:39:13.123Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:39:15.645Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:39:17.261Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:39:18.875Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:39:20.612Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:39:22.289Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:39:22.289Z] 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. [2025-11-19T22:39:22.289Z] The best model improves the baseline by 14.43%. [2025-11-19T22:39:23.075Z] Top recommended movies for user id 72: [2025-11-19T22:39:23.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:39:23.075Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:39:23.075Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:39:23.075Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:39:23.075Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:39:23.077Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18326.307 ms) ====== [2025-11-19T22:39:23.077Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-19T22:39:23.077Z] GC before operation: completed in 157.725 ms, heap usage 335.952 MB -> 92.161 MB. [2025-11-19T22:39:25.565Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:39:29.007Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:39:31.487Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:39:34.004Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:39:36.493Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:39:38.105Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:39:39.706Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:39:41.301Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:39:42.075Z] 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. [2025-11-19T22:39:42.075Z] The best model improves the baseline by 14.43%. [2025-11-19T22:39:42.075Z] Top recommended movies for user id 72: [2025-11-19T22:39:42.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:39:42.075Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:39:42.075Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:39:42.075Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:39:42.075Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:39:42.075Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19073.339 ms) ====== [2025-11-19T22:39:42.075Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-19T22:39:42.075Z] GC before operation: completed in 121.065 ms, heap usage 158.873 MB -> 92.189 MB. [2025-11-19T22:39:44.574Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:39:48.051Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:39:50.558Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:39:53.998Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:39:55.593Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:39:57.191Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:39:58.813Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:40:00.409Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:40:01.214Z] 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. [2025-11-19T22:40:01.214Z] The best model improves the baseline by 14.43%. [2025-11-19T22:40:01.214Z] Top recommended movies for user id 72: [2025-11-19T22:40:01.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:40:01.214Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:40:01.214Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:40:01.214Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:40:01.214Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:40:01.214Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19231.740 ms) ====== [2025-11-19T22:40:01.214Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-19T22:40:01.214Z] GC before operation: completed in 118.948 ms, heap usage 319.947 MB -> 92.090 MB. [2025-11-19T22:40:04.684Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:40:07.171Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:40:09.752Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:40:12.247Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:40:13.863Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:40:15.468Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:40:17.070Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:40:18.681Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:40:19.456Z] 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. [2025-11-19T22:40:19.456Z] The best model improves the baseline by 14.43%. [2025-11-19T22:40:19.456Z] Top recommended movies for user id 72: [2025-11-19T22:40:19.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:40:19.456Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:40:19.456Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:40:19.456Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:40:19.456Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:40:19.456Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18091.596 ms) ====== [2025-11-19T22:40:19.456Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-19T22:40:19.456Z] GC before operation: completed in 122.836 ms, heap usage 2.269 GB -> 98.583 MB. [2025-11-19T22:40:22.924Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-19T22:40:25.444Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-19T22:40:27.970Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-19T22:40:30.452Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-19T22:40:32.068Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-19T22:40:33.678Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-19T22:40:36.172Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-19T22:40:36.988Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-19T22:40:37.758Z] 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. [2025-11-19T22:40:37.758Z] The best model improves the baseline by 14.43%. [2025-11-19T22:40:37.758Z] Top recommended movies for user id 72: [2025-11-19T22:40:37.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-11-19T22:40:37.758Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-11-19T22:40:37.758Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-11-19T22:40:37.758Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-11-19T22:40:37.758Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-11-19T22:40:37.758Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18115.474 ms) ====== [2025-11-19T22:40:38.530Z] ----------------------------------- [2025-11-19T22:40:38.530Z] renaissance-movie-lens_0_PASSED [2025-11-19T22:40:38.530Z] ----------------------------------- [2025-11-19T22:40:38.530Z] [2025-11-19T22:40:38.530Z] TEST TEARDOWN: [2025-11-19T22:40:38.530Z] Nothing to be done for teardown. [2025-11-19T22:40:38.530Z] renaissance-movie-lens_0 Finish Time: Wed Nov 19 22:40:38 2025 Epoch Time (ms): 1763592038169