renaissance-movie-lens_0
[2025-11-19T22:44:03.952Z] Running test renaissance-movie-lens_0 ...
[2025-11-19T22:44:03.952Z] ===============================================
[2025-11-19T22:44:03.952Z] renaissance-movie-lens_0 Start Time: Wed Nov 19 22:44:03 2025 Epoch Time (ms): 1763592243388
[2025-11-19T22:44:03.952Z] variation: NoOptions
[2025-11-19T22:44:03.952Z] JVM_OPTIONS:
[2025-11-19T22:44:03.952Z] { \
[2025-11-19T22:44:03.952Z] echo ""; echo "TEST SETUP:"; \
[2025-11-19T22:44:03.952Z] echo "Nothing to be done for setup."; \
[2025-11-19T22:44:03.952Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17635905594377/renaissance-movie-lens_0"; \
[2025-11-19T22:44:03.952Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17635905594377/renaissance-movie-lens_0"; \
[2025-11-19T22:44:03.952Z] echo ""; echo "TESTING:"; \
[2025-11-19T22:44:03.952Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17635905594377/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-19T22:44:03.952Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17635905594377/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-19T22:44:03.952Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-19T22:44:03.952Z] echo "Nothing to be done for teardown."; \
[2025-11-19T22:44:03.952Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17635905594377/TestTargetResult";
[2025-11-19T22:44:03.952Z]
[2025-11-19T22:44:03.952Z] TEST SETUP:
[2025-11-19T22:44:03.952Z] Nothing to be done for setup.
[2025-11-19T22:44:03.952Z]
[2025-11-19T22:44:03.952Z] TESTING:
[2025-11-19T22:44:12.207Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-11-19T22:44:25.969Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-19T22:44:25.969Z] Training: 60056, validation: 20285, test: 19854
[2025-11-19T22:44:25.969Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-19T22:44:26.739Z] GC before operation: completed in 171.890 ms, heap usage 751.446 MB -> 75.500 MB.
[2025-11-19T22:44:34.999Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:44:37.477Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:44:41.961Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:44:46.452Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:44:49.009Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:44:51.515Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:44:54.027Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:44:56.505Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:44:56.505Z] 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.
[2025-11-19T22:44:56.505Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:44:57.273Z] Top recommended movies for user id 72:
[2025-11-19T22:44:57.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:44:57.273Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:44:57.273Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:44:57.273Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:44:57.273Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:44:57.273Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30640.329 ms) ======
[2025-11-19T22:44:57.273Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-19T22:44:57.273Z] GC before operation: completed in 196.759 ms, heap usage 1.007 GB -> 94.942 MB.
[2025-11-19T22:45:01.747Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:45:05.173Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:45:09.651Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:45:13.072Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:45:15.544Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:45:18.013Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:45:20.491Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:45:22.958Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:45:22.958Z] 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.
[2025-11-19T22:45:22.958Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:45:23.731Z] Top recommended movies for user id 72:
[2025-11-19T22:45:23.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:45:23.731Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:45:23.731Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:45:23.731Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:45:23.731Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:45:23.731Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26084.993 ms) ======
[2025-11-19T22:45:23.731Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-19T22:45:23.731Z] GC before operation: completed in 234.739 ms, heap usage 1.076 GB -> 94.912 MB.
[2025-11-19T22:45:28.718Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:45:31.186Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:45:35.655Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:45:39.090Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:45:41.566Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:45:44.065Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:45:45.655Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:45:48.132Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:45:48.903Z] 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.
[2025-11-19T22:45:48.903Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:45:48.903Z] Top recommended movies for user id 72:
[2025-11-19T22:45:48.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:45:48.903Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:45:48.903Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:45:48.903Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:45:48.903Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:45:48.903Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25378.105 ms) ======
[2025-11-19T22:45:48.903Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-19T22:45:48.903Z] GC before operation: completed in 229.336 ms, heap usage 607.757 MB -> 91.836 MB.
[2025-11-19T22:45:53.347Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:45:56.766Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:46:01.219Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:46:03.861Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:46:06.336Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:46:08.796Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:46:11.274Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:46:13.749Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:46:13.749Z] 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.
[2025-11-19T22:46:13.749Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:46:13.749Z] Top recommended movies for user id 72:
[2025-11-19T22:46:13.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:46:13.749Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:46:13.749Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:46:13.749Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:46:13.749Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:46:13.749Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24718.073 ms) ======
[2025-11-19T22:46:13.749Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-19T22:46:14.516Z] GC before operation: completed in 242.005 ms, heap usage 776.978 MB -> 95.503 MB.
[2025-11-19T22:46:17.927Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:46:22.609Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:46:26.022Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:46:29.455Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:46:31.941Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:46:33.529Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:46:36.032Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:46:38.518Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:46:38.518Z] 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.
[2025-11-19T22:46:38.518Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:46:39.339Z] Top recommended movies for user id 72:
[2025-11-19T22:46:39.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:46:39.339Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:46:39.339Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:46:39.339Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:46:39.339Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:46:39.339Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24792.757 ms) ======
[2025-11-19T22:46:39.339Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-19T22:46:39.339Z] GC before operation: completed in 210.360 ms, heap usage 1.049 GB -> 95.748 MB.
[2025-11-19T22:46:42.750Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:46:46.170Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:46:50.624Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:46:54.045Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:46:56.505Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:46:58.973Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:47:00.557Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:47:03.061Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:47:03.828Z] 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.
[2025-11-19T22:47:03.828Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:47:03.828Z] Top recommended movies for user id 72:
[2025-11-19T22:47:03.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:47:03.828Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:47:03.828Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:47:03.828Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:47:03.828Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:47:03.828Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24527.477 ms) ======
[2025-11-19T22:47:03.828Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-19T22:47:03.828Z] GC before operation: completed in 222.080 ms, heap usage 537.375 MB -> 92.255 MB.
[2025-11-19T22:47:07.304Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:47:11.758Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:47:15.214Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:47:18.472Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:47:20.934Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:47:22.518Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:47:25.017Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:47:27.479Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:47:27.480Z] 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.
[2025-11-19T22:47:27.480Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:47:28.255Z] Top recommended movies for user id 72:
[2025-11-19T22:47:28.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:47:28.255Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:47:28.255Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:47:28.255Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:47:28.255Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:47:28.255Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24017.531 ms) ======
[2025-11-19T22:47:28.255Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-19T22:47:28.256Z] GC before operation: completed in 202.781 ms, heap usage 765.657 MB -> 95.725 MB.
[2025-11-19T22:47:31.681Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:47:35.101Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:47:39.597Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:47:43.023Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:47:44.605Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:47:47.087Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:47:49.569Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:47:51.154Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:47:51.924Z] 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.
[2025-11-19T22:47:51.924Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:47:51.924Z] Top recommended movies for user id 72:
[2025-11-19T22:47:51.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:47:51.924Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:47:51.924Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:47:51.924Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:47:51.924Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:47:51.924Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23912.276 ms) ======
[2025-11-19T22:47:51.924Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-19T22:47:52.690Z] GC before operation: completed in 215.013 ms, heap usage 524.117 MB -> 95.592 MB.
[2025-11-19T22:47:56.098Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:47:59.515Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:48:02.971Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:48:06.383Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:48:08.880Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:48:11.251Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:48:13.725Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:48:15.309Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:48:16.077Z] 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.
[2025-11-19T22:48:16.077Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:48:16.077Z] Top recommended movies for user id 72:
[2025-11-19T22:48:16.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:48:16.077Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:48:16.077Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:48:16.077Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:48:16.077Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:48:16.077Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23805.358 ms) ======
[2025-11-19T22:48:16.077Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-19T22:48:16.077Z] GC before operation: completed in 209.095 ms, heap usage 455.611 MB -> 92.115 MB.
[2025-11-19T22:48:20.535Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:48:23.990Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:48:27.431Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:48:30.854Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:48:33.317Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:48:34.899Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:48:37.368Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:48:39.855Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:48:39.855Z] 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.
[2025-11-19T22:48:39.855Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:48:40.623Z] Top recommended movies for user id 72:
[2025-11-19T22:48:40.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:48:40.623Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:48:40.623Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:48:40.623Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:48:40.623Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:48:40.624Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23956.774 ms) ======
[2025-11-19T22:48:40.624Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-19T22:48:40.624Z] GC before operation: completed in 198.582 ms, heap usage 832.229 MB -> 96.056 MB.
[2025-11-19T22:48:44.045Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:48:47.469Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:48:51.930Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:48:55.353Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:48:56.947Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:48:59.421Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:49:02.446Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:49:04.044Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:49:04.044Z] 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.
[2025-11-19T22:49:04.044Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:49:04.044Z] Top recommended movies for user id 72:
[2025-11-19T22:49:04.044Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:49:04.044Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:49:04.044Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:49:04.044Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:49:04.044Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:49:04.044Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23890.128 ms) ======
[2025-11-19T22:49:04.044Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-19T22:49:04.809Z] GC before operation: completed in 228.880 ms, heap usage 699.101 MB -> 92.324 MB.
[2025-11-19T22:49:08.229Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:49:11.636Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:49:16.087Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:49:19.512Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:49:21.108Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:49:23.574Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:49:26.033Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:49:27.620Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:49:28.388Z] 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.
[2025-11-19T22:49:28.388Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:49:28.388Z] Top recommended movies for user id 72:
[2025-11-19T22:49:28.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:49:28.388Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:49:28.388Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:49:28.388Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:49:28.388Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:49:28.388Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23878.194 ms) ======
[2025-11-19T22:49:28.388Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-19T22:49:28.388Z] GC before operation: completed in 225.389 ms, heap usage 279.905 MB -> 92.175 MB.
[2025-11-19T22:49:32.833Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:49:36.258Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:49:39.666Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:49:43.085Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:49:45.549Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:49:48.016Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:49:49.607Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:49:52.084Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:49:52.084Z] 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.
[2025-11-19T22:49:52.084Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:49:52.869Z] Top recommended movies for user id 72:
[2025-11-19T22:49:52.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:49:52.869Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:49:52.869Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:49:52.869Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:49:52.869Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:49:52.869Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23912.658 ms) ======
[2025-11-19T22:49:52.869Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-19T22:49:52.869Z] GC before operation: completed in 232.922 ms, heap usage 180.855 MB -> 92.148 MB.
[2025-11-19T22:49:56.867Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:50:00.281Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:50:03.733Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:50:07.149Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:50:09.611Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:50:12.089Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:50:13.676Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:50:16.154Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:50:16.154Z] 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.
[2025-11-19T22:50:16.928Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:50:16.928Z] Top recommended movies for user id 72:
[2025-11-19T22:50:16.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:50:16.928Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:50:16.928Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:50:16.928Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:50:16.928Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:50:16.928Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23938.659 ms) ======
[2025-11-19T22:50:16.928Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-19T22:50:16.928Z] GC before operation: completed in 250.637 ms, heap usage 119.156 MB -> 93.582 MB.
[2025-11-19T22:50:21.379Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:50:24.793Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:50:28.263Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:50:31.840Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:50:33.442Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:50:36.034Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:50:38.520Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:50:40.113Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:50:40.881Z] 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.
[2025-11-19T22:50:40.881Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:50:40.881Z] Top recommended movies for user id 72:
[2025-11-19T22:50:40.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:50:40.881Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:50:40.881Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:50:40.881Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:50:40.881Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:50:40.881Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23854.651 ms) ======
[2025-11-19T22:50:40.881Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-19T22:50:40.881Z] GC before operation: completed in 246.697 ms, heap usage 540.142 MB -> 92.668 MB.
[2025-11-19T22:50:45.345Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:50:49.320Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:50:52.751Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:50:56.247Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:50:57.848Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:51:00.317Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:51:02.779Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:51:04.554Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:51:04.554Z] 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.
[2025-11-19T22:51:04.554Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:51:05.325Z] Top recommended movies for user id 72:
[2025-11-19T22:51:05.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:51:05.325Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:51:05.325Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:51:05.325Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:51:05.325Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:51:05.325Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23987.492 ms) ======
[2025-11-19T22:51:05.325Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-19T22:51:05.325Z] GC before operation: completed in 273.431 ms, heap usage 1.115 GB -> 96.599 MB.
[2025-11-19T22:51:08.747Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:51:13.207Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:51:16.642Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:51:20.073Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:51:21.671Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:51:24.137Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:51:26.601Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:51:28.196Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:51:28.963Z] 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.
[2025-11-19T22:51:28.963Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:51:28.963Z] Top recommended movies for user id 72:
[2025-11-19T22:51:28.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:51:28.963Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:51:28.963Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:51:28.963Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:51:28.963Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:51:28.963Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23655.705 ms) ======
[2025-11-19T22:51:28.963Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-19T22:51:28.963Z] GC before operation: completed in 200.822 ms, heap usage 648.297 MB -> 92.672 MB.
[2025-11-19T22:51:33.460Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:51:36.876Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:51:40.323Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:51:43.822Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:51:45.416Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:51:47.901Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:51:50.370Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:51:51.954Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:51:52.720Z] 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.
[2025-11-19T22:51:52.720Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:51:52.720Z] Top recommended movies for user id 72:
[2025-11-19T22:51:52.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:51:52.720Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:51:52.720Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:51:52.720Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:51:52.720Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:51:52.720Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23650.979 ms) ======
[2025-11-19T22:51:52.720Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-19T22:51:53.488Z] GC before operation: completed in 217.090 ms, heap usage 672.188 MB -> 92.544 MB.
[2025-11-19T22:51:56.901Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:52:00.311Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:52:03.735Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:52:07.150Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:52:09.622Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:52:12.097Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:52:14.561Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:52:16.149Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:52:16.915Z] 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.
[2025-11-19T22:52:16.915Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:52:16.915Z] Top recommended movies for user id 72:
[2025-11-19T22:52:16.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:52:16.915Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:52:16.915Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:52:16.915Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:52:16.915Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:52:16.915Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23808.246 ms) ======
[2025-11-19T22:52:16.915Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-19T22:52:16.915Z] GC before operation: completed in 255.650 ms, heap usage 402.483 MB -> 92.440 MB.
[2025-11-19T22:52:21.368Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-19T22:52:24.798Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-19T22:52:28.214Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-19T22:52:31.623Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-19T22:52:34.093Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-19T22:52:36.083Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-19T22:52:37.740Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-19T22:52:40.209Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-19T22:52:40.975Z] 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.
[2025-11-19T22:52:40.975Z] The best model improves the baseline by 14.43%.
[2025-11-19T22:52:40.975Z] Top recommended movies for user id 72:
[2025-11-19T22:52:40.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-19T22:52:40.975Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-19T22:52:40.975Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-19T22:52:40.975Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-19T22:52:40.975Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-19T22:52:40.975Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23656.562 ms) ======
[2025-11-19T22:52:41.740Z] -----------------------------------
[2025-11-19T22:52:41.740Z] renaissance-movie-lens_0_PASSED
[2025-11-19T22:52:41.740Z] -----------------------------------
[2025-11-19T22:52:41.740Z]
[2025-11-19T22:52:41.740Z] TEST TEARDOWN:
[2025-11-19T22:52:41.740Z] Nothing to be done for teardown.
[2025-11-19T22:52:41.740Z] renaissance-movie-lens_0 Finish Time: Wed Nov 19 22:52:41 2025 Epoch Time (ms): 1763592761199