[2025-06-30T20:27:37.786Z] Running test renaissance-movie-lens_0 ... [2025-06-30T20:27:37.786Z] =============================================== [2025-06-30T20:27:37.786Z] renaissance-movie-lens_0 Start Time: Mon Jun 30 20:27:36 2025 Epoch Time (ms): 1751315256963 [2025-06-30T20:27:37.786Z] variation: NoOptions [2025-06-30T20:27:37.786Z] JVM_OPTIONS: [2025-06-30T20:27:37.786Z] { \ [2025-06-30T20:27:37.786Z] echo ""; echo "TEST SETUP:"; \ [2025-06-30T20:27:37.786Z] echo "Nothing to be done for setup."; \ [2025-06-30T20:27:37.786Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_1751314424950/renaissance-movie-lens_0"; \ [2025-06-30T20:27:37.786Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_1751314424950/renaissance-movie-lens_0"; \ [2025-06-30T20:27:37.786Z] echo ""; echo "TESTING:"; \ [2025-06-30T20:27:37.786Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/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_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_1751314424950/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-30T20:27:37.786Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_1751314424950/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-30T20:27:37.786Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-30T20:27:37.786Z] echo "Nothing to be done for teardown."; \ [2025-06-30T20:27:37.786Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_1751314424950/TestTargetResult"; [2025-06-30T20:27:37.786Z] [2025-06-30T20:27:37.786Z] TEST SETUP: [2025-06-30T20:27:37.786Z] Nothing to be done for setup. [2025-06-30T20:27:37.786Z] [2025-06-30T20:27:37.786Z] TESTING: [2025-06-30T20:27:43.032Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-06-30T20:27:52.552Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-30T20:27:52.552Z] Training: 60056, validation: 20285, test: 19854 [2025-06-30T20:27:52.552Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-30T20:27:52.552Z] GC before operation: completed in 113.837 ms, heap usage 611.377 MB -> 76.745 MB. [2025-06-30T20:27:57.792Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:28:00.727Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:28:03.681Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:28:05.596Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:28:07.523Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:28:08.453Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:28:09.817Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:28:11.732Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:28:11.732Z] 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. [2025-06-30T20:28:11.732Z] The best model improves the baseline by 14.43%. [2025-06-30T20:28:11.732Z] Top recommended movies for user id 72: [2025-06-30T20:28:11.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:28:11.732Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:28:11.732Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:28:11.732Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:28:11.732Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:28:11.732Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (19503.407 ms) ====== [2025-06-30T20:28:11.732Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-30T20:28:11.732Z] GC before operation: completed in 136.970 ms, heap usage 786.646 MB -> 94.292 MB. [2025-06-30T20:28:14.674Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:28:16.580Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:28:19.518Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:28:21.524Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:28:22.450Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:28:24.352Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:28:25.277Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:28:27.179Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:28:27.179Z] 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. [2025-06-30T20:28:27.179Z] The best model improves the baseline by 14.43%. [2025-06-30T20:28:27.179Z] Top recommended movies for user id 72: [2025-06-30T20:28:27.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:28:27.179Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:28:27.179Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:28:27.179Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:28:27.179Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:28:27.179Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15242.731 ms) ====== [2025-06-30T20:28:27.179Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-30T20:28:28.106Z] GC before operation: completed in 265.611 ms, heap usage 127.430 MB -> 90.864 MB. [2025-06-30T20:28:30.014Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:28:31.917Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:28:33.874Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:28:35.783Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:28:36.710Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:28:37.643Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:28:39.562Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:28:40.487Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:28:40.487Z] 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. [2025-06-30T20:28:40.487Z] The best model improves the baseline by 14.43%. [2025-06-30T20:28:40.487Z] Top recommended movies for user id 72: [2025-06-30T20:28:40.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:28:40.487Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:28:40.487Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:28:40.487Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:28:40.487Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:28:40.487Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13198.115 ms) ====== [2025-06-30T20:28:40.487Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-30T20:28:41.412Z] GC before operation: completed in 105.207 ms, heap usage 1.456 GB -> 96.678 MB. [2025-06-30T20:28:43.318Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:28:45.221Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:28:47.124Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:28:49.195Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:28:51.101Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:28:52.027Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:28:52.952Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:28:54.854Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:28:54.854Z] 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. [2025-06-30T20:28:54.854Z] The best model improves the baseline by 14.43%. [2025-06-30T20:28:54.854Z] Top recommended movies for user id 72: [2025-06-30T20:28:54.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:28:54.854Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:28:54.854Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:28:54.854Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:28:54.854Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:28:54.854Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13834.881 ms) ====== [2025-06-30T20:28:54.854Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-30T20:28:54.854Z] GC before operation: completed in 296.131 ms, heap usage 140.771 MB -> 91.970 MB. [2025-06-30T20:28:56.752Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:28:58.655Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:29:01.911Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:29:02.837Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:29:03.762Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:29:05.662Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:29:06.589Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:29:07.515Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:29:07.515Z] 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. [2025-06-30T20:29:07.515Z] The best model improves the baseline by 14.43%. [2025-06-30T20:29:07.515Z] Top recommended movies for user id 72: [2025-06-30T20:29:07.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:29:07.515Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:29:07.515Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:29:07.515Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:29:07.515Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:29:07.515Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12685.984 ms) ====== [2025-06-30T20:29:07.515Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-30T20:29:07.515Z] GC before operation: completed in 101.042 ms, heap usage 265.559 MB -> 92.070 MB. [2025-06-30T20:29:10.452Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:29:12.353Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:29:14.253Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:29:16.154Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:29:17.082Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:29:18.007Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:29:18.933Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:29:19.859Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:29:19.859Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-30T20:29:19.859Z] The best model improves the baseline by 14.43%. [2025-06-30T20:29:20.787Z] Top recommended movies for user id 72: [2025-06-30T20:29:20.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:29:20.787Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:29:20.787Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:29:20.787Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:29:20.787Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:29:20.787Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12490.465 ms) ====== [2025-06-30T20:29:20.787Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-30T20:29:20.787Z] GC before operation: completed in 313.631 ms, heap usage 144.316 MB -> 92.204 MB. [2025-06-30T20:29:22.694Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:29:24.600Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:29:26.509Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:29:28.468Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:29:30.381Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:29:31.309Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:29:32.235Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:29:33.333Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:29:33.333Z] 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. [2025-06-30T20:29:33.333Z] The best model improves the baseline by 14.43%. [2025-06-30T20:29:33.333Z] Top recommended movies for user id 72: [2025-06-30T20:29:33.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:29:33.333Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:29:33.333Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:29:33.333Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:29:33.333Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:29:33.333Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13052.551 ms) ====== [2025-06-30T20:29:33.333Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-30T20:29:34.259Z] GC before operation: completed in 100.398 ms, heap usage 1.275 GB -> 96.987 MB. [2025-06-30T20:29:36.159Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:29:38.069Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:29:39.970Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:29:41.874Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:29:42.801Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:29:43.727Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:29:45.629Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:29:46.554Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:29:46.554Z] 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. [2025-06-30T20:29:46.554Z] The best model improves the baseline by 14.43%. [2025-06-30T20:29:46.554Z] Top recommended movies for user id 72: [2025-06-30T20:29:46.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:29:46.554Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:29:46.554Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:29:46.554Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:29:46.554Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:29:46.554Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12948.008 ms) ====== [2025-06-30T20:29:46.554Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-30T20:29:47.482Z] GC before operation: completed in 288.813 ms, heap usage 306.019 MB -> 92.321 MB. [2025-06-30T20:29:49.386Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:29:51.291Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:29:53.890Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:29:54.829Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:29:55.756Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:29:57.657Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:29:58.583Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:29:59.522Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:29:59.522Z] 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. [2025-06-30T20:29:59.522Z] The best model improves the baseline by 14.43%. [2025-06-30T20:29:59.522Z] Top recommended movies for user id 72: [2025-06-30T20:29:59.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:29:59.522Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:29:59.522Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:29:59.522Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:29:59.522Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:29:59.522Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12742.338 ms) ====== [2025-06-30T20:29:59.522Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-30T20:29:59.522Z] GC before operation: completed in 117.834 ms, heap usage 294.757 MB -> 92.232 MB. [2025-06-30T20:30:02.498Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:30:03.430Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:30:05.333Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:30:07.242Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:30:08.167Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:30:09.093Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:30:10.995Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:30:11.919Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:30:11.919Z] 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. [2025-06-30T20:30:11.919Z] The best model improves the baseline by 14.43%. [2025-06-30T20:30:11.919Z] Top recommended movies for user id 72: [2025-06-30T20:30:11.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:30:11.919Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:30:11.919Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:30:11.919Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:30:11.919Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:30:11.919Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12300.658 ms) ====== [2025-06-30T20:30:11.919Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-30T20:30:12.850Z] GC before operation: completed in 300.249 ms, heap usage 197.103 MB -> 92.666 MB. [2025-06-30T20:30:14.752Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:30:16.652Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:30:18.552Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:30:20.455Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:30:21.381Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:30:22.307Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:30:24.209Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:30:25.136Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:30:25.136Z] 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. [2025-06-30T20:30:25.136Z] The best model improves the baseline by 14.43%. [2025-06-30T20:30:25.136Z] Top recommended movies for user id 72: [2025-06-30T20:30:25.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:30:25.136Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:30:25.136Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:30:25.136Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:30:25.136Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:30:25.136Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13008.313 ms) ====== [2025-06-30T20:30:25.136Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-30T20:30:26.062Z] GC before operation: completed in 96.975 ms, heap usage 492.212 MB -> 92.397 MB. [2025-06-30T20:30:27.969Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:30:29.901Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:30:31.804Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:30:32.739Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:30:34.642Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:30:35.571Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:30:36.496Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:30:37.422Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:30:37.422Z] 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. [2025-06-30T20:30:37.422Z] The best model improves the baseline by 14.43%. [2025-06-30T20:30:37.422Z] Top recommended movies for user id 72: [2025-06-30T20:30:37.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:30:37.422Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:30:37.422Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:30:37.422Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:30:37.422Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:30:37.422Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11997.528 ms) ====== [2025-06-30T20:30:37.422Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-30T20:30:38.348Z] GC before operation: completed in 285.367 ms, heap usage 1.380 GB -> 98.562 MB. [2025-06-30T20:30:39.284Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:30:41.242Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:30:43.149Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:30:45.050Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:30:46.654Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:30:47.579Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:30:48.504Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:30:49.430Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:30:49.430Z] 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. [2025-06-30T20:30:49.430Z] The best model improves the baseline by 14.43%. [2025-06-30T20:30:49.430Z] Top recommended movies for user id 72: [2025-06-30T20:30:49.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:30:49.430Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:30:49.430Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:30:49.430Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:30:49.430Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:30:49.430Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11597.434 ms) ====== [2025-06-30T20:30:49.430Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-30T20:30:49.430Z] GC before operation: completed in 111.392 ms, heap usage 1.584 GB -> 99.086 MB. [2025-06-30T20:30:51.343Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:30:53.243Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:30:55.144Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:30:57.055Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:30:57.981Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:30:58.906Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:30:59.832Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:31:01.736Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:31:01.736Z] 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. [2025-06-30T20:31:01.736Z] The best model improves the baseline by 14.43%. [2025-06-30T20:31:01.736Z] Top recommended movies for user id 72: [2025-06-30T20:31:01.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:31:01.736Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:31:01.736Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:31:01.736Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:31:01.736Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:31:01.736Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12066.999 ms) ====== [2025-06-30T20:31:01.736Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-30T20:31:01.736Z] GC before operation: completed in 301.335 ms, heap usage 129.555 MB -> 92.273 MB. [2025-06-30T20:31:03.634Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:31:05.534Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:31:07.439Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:31:09.339Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:31:11.240Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:31:12.167Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:31:14.070Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:31:15.970Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:31:15.970Z] 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. [2025-06-30T20:31:15.970Z] The best model improves the baseline by 14.43%. [2025-06-30T20:31:15.970Z] Top recommended movies for user id 72: [2025-06-30T20:31:15.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:31:15.970Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:31:15.970Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:31:15.970Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:31:15.970Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:31:15.970Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14049.549 ms) ====== [2025-06-30T20:31:15.970Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-30T20:31:15.970Z] GC before operation: completed in 107.980 ms, heap usage 223.355 MB -> 92.737 MB. [2025-06-30T20:31:18.907Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:31:20.809Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:31:23.746Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:31:25.648Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:31:26.573Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:31:27.498Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:31:28.423Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:31:30.326Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:31:30.326Z] 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. [2025-06-30T20:31:30.326Z] The best model improves the baseline by 14.43%. [2025-06-30T20:31:30.326Z] Top recommended movies for user id 72: [2025-06-30T20:31:30.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:31:30.326Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:31:30.326Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:31:30.326Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:31:30.326Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:31:30.326Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14074.776 ms) ====== [2025-06-30T20:31:30.326Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-30T20:31:30.326Z] GC before operation: completed in 272.767 ms, heap usage 383.552 MB -> 92.708 MB. [2025-06-30T20:31:32.233Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:31:34.280Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:31:36.181Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:31:38.760Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:31:38.760Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:31:39.686Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:31:40.616Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:31:41.541Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:31:41.541Z] 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. [2025-06-30T20:31:41.541Z] The best model improves the baseline by 14.43%. [2025-06-30T20:31:42.467Z] Top recommended movies for user id 72: [2025-06-30T20:31:42.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:31:42.467Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:31:42.467Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:31:42.467Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:31:42.467Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:31:42.467Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11488.340 ms) ====== [2025-06-30T20:31:42.467Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-30T20:31:42.467Z] GC before operation: completed in 122.059 ms, heap usage 1.120 GB -> 98.044 MB. [2025-06-30T20:31:44.401Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:31:46.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:31:48.209Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:31:50.112Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:31:51.037Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:31:51.964Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:31:52.890Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:31:53.815Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:31:53.815Z] 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. [2025-06-30T20:31:53.815Z] The best model improves the baseline by 14.43%. [2025-06-30T20:31:54.741Z] Top recommended movies for user id 72: [2025-06-30T20:31:54.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:31:54.741Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:31:54.741Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:31:54.741Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:31:54.741Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:31:54.741Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12213.706 ms) ====== [2025-06-30T20:31:54.741Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-30T20:31:54.741Z] GC before operation: completed in 302.263 ms, heap usage 142.891 MB -> 92.424 MB. [2025-06-30T20:31:56.645Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:31:58.547Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:32:01.491Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:32:03.398Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:32:04.325Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:32:06.227Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:32:08.132Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:32:09.061Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:32:09.991Z] 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. [2025-06-30T20:32:09.991Z] The best model improves the baseline by 14.43%. [2025-06-30T20:32:09.991Z] Top recommended movies for user id 72: [2025-06-30T20:32:09.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:32:09.991Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:32:09.991Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:32:09.991Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:32:09.991Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:32:09.991Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15173.200 ms) ====== [2025-06-30T20:32:09.991Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-30T20:32:09.991Z] GC before operation: completed in 107.312 ms, heap usage 258.956 MB -> 92.406 MB. [2025-06-30T20:32:12.942Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T20:32:14.846Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T20:32:17.790Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T20:32:19.699Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T20:32:21.601Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T20:32:22.528Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T20:32:24.434Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T20:32:26.336Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T20:32:26.336Z] 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. [2025-06-30T20:32:26.336Z] The best model improves the baseline by 14.43%. [2025-06-30T20:32:26.336Z] Top recommended movies for user id 72: [2025-06-30T20:32:26.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-30T20:32:26.336Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-30T20:32:26.336Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-30T20:32:26.336Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-30T20:32:26.336Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-30T20:32:26.336Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16287.521 ms) ====== [2025-06-30T20:32:27.264Z] ----------------------------------- [2025-06-30T20:32:27.264Z] renaissance-movie-lens_0_PASSED [2025-06-30T20:32:27.264Z] ----------------------------------- [2025-06-30T20:32:27.264Z] [2025-06-30T20:32:27.264Z] TEST TEARDOWN: [2025-06-30T20:32:27.264Z] Nothing to be done for teardown. [2025-06-30T20:32:27.264Z] renaissance-movie-lens_0 Finish Time: Mon Jun 30 20:32:26 2025 Epoch Time (ms): 1751315546842