renaissance-movie-lens_0
[2025-10-01T21:42:34.605Z] Running test renaissance-movie-lens_0 ...
[2025-10-01T21:42:34.605Z] ===============================================
[2025-10-01T21:42:34.605Z] renaissance-movie-lens_0 Start Time: Wed Oct 1 21:42:33 2025 Epoch Time (ms): 1759354953875
[2025-10-01T21:42:34.605Z] variation: NoOptions
[2025-10-01T21:42:34.605Z] JVM_OPTIONS:
[2025-10-01T21:42:34.605Z] { \
[2025-10-01T21:42:34.605Z] echo ""; echo "TEST SETUP:"; \
[2025-10-01T21:42:34.605Z] echo "Nothing to be done for setup."; \
[2025-10-01T21:42:34.605Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17593536801041/renaissance-movie-lens_0"; \
[2025-10-01T21:42:34.605Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17593536801041/renaissance-movie-lens_0"; \
[2025-10-01T21:42:34.605Z] echo ""; echo "TESTING:"; \
[2025-10-01T21:42:34.605Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17593536801041/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-01T21:42:34.605Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17593536801041/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-01T21:42:34.605Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-01T21:42:34.605Z] echo "Nothing to be done for teardown."; \
[2025-10-01T21:42:34.605Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17593536801041/TestTargetResult";
[2025-10-01T21:42:34.605Z]
[2025-10-01T21:42:34.605Z] TEST SETUP:
[2025-10-01T21:42:34.605Z] Nothing to be done for setup.
[2025-10-01T21:42:34.605Z]
[2025-10-01T21:42:34.605Z] TESTING:
[2025-10-01T21:42:41.532Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-10-01T21:42:53.272Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-01T21:42:53.272Z] Training: 60056, validation: 20285, test: 19854
[2025-10-01T21:42:53.272Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-01T21:42:53.272Z] GC before operation: completed in 158.453 ms, heap usage 378.760 MB -> 75.705 MB.
[2025-10-01T21:42:57.932Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:43:01.360Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:43:04.791Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:43:08.297Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:43:10.765Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:43:12.365Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:43:14.834Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:43:16.428Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:43:17.245Z] 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.
[2025-10-01T21:43:17.245Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:43:17.245Z] Top recommended movies for user id 72:
[2025-10-01T21:43:17.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:43:17.245Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:43:17.245Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:43:17.245Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:43:17.245Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:43:17.245Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24519.761 ms) ======
[2025-10-01T21:43:17.245Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-01T21:43:17.245Z] GC before operation: completed in 172.003 ms, heap usage 313.642 MB -> 88.680 MB.
[2025-10-01T21:43:20.677Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:43:23.187Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:43:26.611Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:43:30.035Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:43:31.634Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:43:34.122Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:43:35.713Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:43:37.304Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:43:38.073Z] 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.
[2025-10-01T21:43:38.073Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:43:38.073Z] Top recommended movies for user id 72:
[2025-10-01T21:43:38.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:43:38.073Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:43:38.073Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:43:38.073Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:43:38.073Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:43:38.073Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20805.465 ms) ======
[2025-10-01T21:43:38.073Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-01T21:43:38.073Z] GC before operation: completed in 168.782 ms, heap usage 321.624 MB -> 90.119 MB.
[2025-10-01T21:43:41.535Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:43:44.996Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:43:47.865Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:43:51.295Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:43:52.883Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:43:54.485Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:43:56.964Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:43:58.564Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:43:58.564Z] 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.
[2025-10-01T21:43:58.564Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:43:59.335Z] Top recommended movies for user id 72:
[2025-10-01T21:43:59.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:43:59.335Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:43:59.335Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:43:59.335Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:43:59.335Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:43:59.335Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20667.414 ms) ======
[2025-10-01T21:43:59.335Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-01T21:43:59.335Z] GC before operation: completed in 171.453 ms, heap usage 131.718 MB -> 90.672 MB.
[2025-10-01T21:44:02.764Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:44:05.230Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:44:08.661Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:44:11.143Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:44:13.646Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:44:15.240Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:44:16.829Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:44:19.302Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:44:19.302Z] 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.
[2025-10-01T21:44:19.302Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:44:19.302Z] Top recommended movies for user id 72:
[2025-10-01T21:44:19.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:44:19.302Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:44:19.302Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:44:19.302Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:44:19.302Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:44:19.302Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20295.986 ms) ======
[2025-10-01T21:44:19.302Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-01T21:44:19.302Z] GC before operation: completed in 143.226 ms, heap usage 171.608 MB -> 91.176 MB.
[2025-10-01T21:44:22.746Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:44:25.221Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:44:28.656Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:44:32.077Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:44:33.682Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:44:35.278Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:44:36.892Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:44:38.897Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:44:39.678Z] 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.
[2025-10-01T21:44:39.678Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:44:39.678Z] Top recommended movies for user id 72:
[2025-10-01T21:44:39.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:44:39.678Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:44:39.678Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:44:39.678Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:44:39.678Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:44:39.678Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19876.008 ms) ======
[2025-10-01T21:44:39.679Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-01T21:44:39.679Z] GC before operation: completed in 159.801 ms, heap usage 320.103 MB -> 91.165 MB.
[2025-10-01T21:44:43.173Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:44:45.657Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:44:49.159Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:44:51.648Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:44:53.250Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:44:55.718Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:44:57.311Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:44:58.914Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:44:58.914Z] 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.
[2025-10-01T21:44:59.696Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:44:59.696Z] Top recommended movies for user id 72:
[2025-10-01T21:44:59.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:44:59.696Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:44:59.696Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:44:59.696Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:44:59.696Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:44:59.696Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19790.078 ms) ======
[2025-10-01T21:44:59.696Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-01T21:44:59.696Z] GC before operation: completed in 164.514 ms, heap usage 660.332 MB -> 91.683 MB.
[2025-10-01T21:45:03.124Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:45:05.598Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:45:09.203Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:45:11.682Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:45:13.268Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:45:14.858Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:45:17.356Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:45:18.958Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:45:18.959Z] 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.
[2025-10-01T21:45:18.959Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:45:18.959Z] Top recommended movies for user id 72:
[2025-10-01T21:45:18.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:45:18.959Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:45:18.959Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:45:18.959Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:45:18.959Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:45:18.959Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19637.441 ms) ======
[2025-10-01T21:45:18.959Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-01T21:45:19.728Z] GC before operation: completed in 150.081 ms, heap usage 123.931 MB -> 91.078 MB.
[2025-10-01T21:45:22.211Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:45:25.647Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:45:28.125Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:45:31.731Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:45:33.319Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:45:34.917Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:45:36.508Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:45:38.101Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:45:38.868Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-01T21:45:38.868Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:45:38.868Z] Top recommended movies for user id 72:
[2025-10-01T21:45:38.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:45:38.868Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:45:38.868Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:45:38.868Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:45:38.868Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:45:38.868Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19480.419 ms) ======
[2025-10-01T21:45:38.868Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-01T21:45:38.868Z] GC before operation: completed in 147.182 ms, heap usage 374.791 MB -> 91.822 MB.
[2025-10-01T21:45:42.293Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:45:44.758Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:45:48.196Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:45:50.663Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:45:53.149Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:45:54.738Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:45:56.337Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:45:57.932Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:45:57.932Z] 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.
[2025-10-01T21:45:57.932Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:45:58.701Z] Top recommended movies for user id 72:
[2025-10-01T21:45:58.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:45:58.701Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:45:58.701Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:45:58.701Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:45:58.701Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:45:58.701Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19404.157 ms) ======
[2025-10-01T21:45:58.701Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-01T21:45:58.701Z] GC before operation: completed in 141.325 ms, heap usage 329.571 MB -> 91.785 MB.
[2025-10-01T21:46:02.134Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:46:04.606Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:46:08.046Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:46:10.513Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:46:12.106Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:46:13.700Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:46:15.295Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:46:16.891Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:46:17.660Z] 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.
[2025-10-01T21:46:17.660Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:46:17.660Z] Top recommended movies for user id 72:
[2025-10-01T21:46:17.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:46:17.660Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:46:17.660Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:46:17.660Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:46:17.660Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:46:17.660Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19063.637 ms) ======
[2025-10-01T21:46:17.660Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-01T21:46:17.660Z] GC before operation: completed in 162.509 ms, heap usage 2.661 GB -> 98.345 MB.
[2025-10-01T21:46:21.286Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:46:24.119Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:46:26.589Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:46:30.020Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:46:31.613Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:46:33.211Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:46:34.803Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:46:37.277Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:46:37.277Z] 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.
[2025-10-01T21:46:37.277Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:46:37.277Z] Top recommended movies for user id 72:
[2025-10-01T21:46:37.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:46:37.277Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:46:37.277Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:46:37.277Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:46:37.277Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:46:37.277Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19525.524 ms) ======
[2025-10-01T21:46:37.277Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-01T21:46:37.277Z] GC before operation: completed in 157.388 ms, heap usage 250.471 MB -> 91.503 MB.
[2025-10-01T21:46:40.702Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:46:43.182Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:46:46.609Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:46:49.082Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:46:50.677Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:46:52.289Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:46:53.880Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:46:56.350Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:46:56.350Z] 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.
[2025-10-01T21:46:56.350Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:46:56.350Z] Top recommended movies for user id 72:
[2025-10-01T21:46:56.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:46:56.350Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:46:56.350Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:46:56.350Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:46:56.350Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:46:56.350Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18951.361 ms) ======
[2025-10-01T21:46:56.350Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-01T21:46:56.350Z] GC before operation: completed in 130.068 ms, heap usage 318.560 MB -> 91.895 MB.
[2025-10-01T21:46:59.787Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:47:02.267Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:47:05.693Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:47:08.222Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:47:10.700Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:47:12.318Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:47:14.158Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:47:15.774Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:47:15.774Z] 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.
[2025-10-01T21:47:15.774Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:47:15.774Z] Top recommended movies for user id 72:
[2025-10-01T21:47:15.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:47:15.774Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:47:15.774Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:47:15.774Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:47:15.774Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:47:15.774Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19229.373 ms) ======
[2025-10-01T21:47:15.774Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-01T21:47:15.774Z] GC before operation: completed in 141.214 ms, heap usage 2.696 GB -> 98.333 MB.
[2025-10-01T21:47:19.220Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:47:21.711Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:47:25.148Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:47:28.061Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:47:29.647Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:47:31.263Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:47:33.737Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:47:35.342Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:47:35.342Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-01T21:47:35.342Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:47:35.342Z] Top recommended movies for user id 72:
[2025-10-01T21:47:35.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:47:35.342Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:47:35.342Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:47:35.342Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:47:35.342Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:47:35.342Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19534.036 ms) ======
[2025-10-01T21:47:35.342Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-01T21:47:35.342Z] GC before operation: completed in 123.613 ms, heap usage 1.525 GB -> 96.995 MB.
[2025-10-01T21:47:38.766Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:47:41.239Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:47:44.663Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:47:47.149Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:47:48.739Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:47:50.373Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:47:51.979Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:47:53.588Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:47:53.588Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-01T21:47:53.588Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:47:53.588Z] Top recommended movies for user id 72:
[2025-10-01T21:47:53.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:47:53.588Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:47:53.588Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:47:53.588Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:47:53.588Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:47:53.588Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18102.216 ms) ======
[2025-10-01T21:47:53.588Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-01T21:47:53.588Z] GC before operation: completed in 126.315 ms, heap usage 171.713 MB -> 94.621 MB.
[2025-10-01T21:47:57.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:47:59.516Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:48:02.951Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:48:05.439Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:48:07.649Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:48:08.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:48:10.019Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:48:11.607Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:48:12.377Z] 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.
[2025-10-01T21:48:12.377Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:48:12.377Z] Top recommended movies for user id 72:
[2025-10-01T21:48:12.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:48:12.377Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:48:12.377Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:48:12.377Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:48:12.377Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:48:12.377Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18368.887 ms) ======
[2025-10-01T21:48:12.377Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-01T21:48:12.377Z] GC before operation: completed in 128.314 ms, heap usage 557.628 MB -> 92.100 MB.
[2025-10-01T21:48:14.863Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:48:18.292Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:48:21.709Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:48:24.184Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:48:25.773Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:48:27.360Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:48:29.854Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:48:31.452Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:48:31.452Z] 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.
[2025-10-01T21:48:31.452Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:48:31.452Z] Top recommended movies for user id 72:
[2025-10-01T21:48:31.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:48:31.452Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:48:31.452Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:48:31.452Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:48:31.452Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:48:31.452Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19243.570 ms) ======
[2025-10-01T21:48:31.452Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-01T21:48:31.452Z] GC before operation: completed in 135.005 ms, heap usage 2.554 GB -> 98.075 MB.
[2025-10-01T21:48:34.876Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:48:37.346Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:48:40.769Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:48:43.237Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:48:45.708Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:48:47.314Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:48:48.912Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:48:50.508Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:48:51.278Z] 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.
[2025-10-01T21:48:51.278Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:48:51.278Z] Top recommended movies for user id 72:
[2025-10-01T21:48:51.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:48:51.278Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:48:51.278Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:48:51.278Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:48:51.278Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:48:51.278Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19330.984 ms) ======
[2025-10-01T21:48:51.278Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-01T21:48:51.278Z] GC before operation: completed in 131.202 ms, heap usage 649.338 MB -> 92.153 MB.
[2025-10-01T21:48:53.747Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:48:57.183Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:49:00.032Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:49:02.512Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:49:04.979Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:49:06.569Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:49:08.192Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:49:09.791Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:49:10.561Z] 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.
[2025-10-01T21:49:10.561Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:49:10.561Z] Top recommended movies for user id 72:
[2025-10-01T21:49:10.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:49:10.561Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:49:10.561Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:49:10.561Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:49:10.561Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:49:10.561Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19169.509 ms) ======
[2025-10-01T21:49:10.561Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-01T21:49:10.561Z] GC before operation: completed in 119.849 ms, heap usage 366.227 MB -> 91.942 MB.
[2025-10-01T21:49:13.031Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-01T21:49:16.477Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-01T21:49:18.949Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-01T21:49:22.385Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-01T21:49:23.973Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-01T21:49:25.574Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-01T21:49:28.052Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-01T21:49:29.648Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-01T21:49:29.648Z] 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.
[2025-10-01T21:49:29.648Z] The best model improves the baseline by 14.43%.
[2025-10-01T21:49:29.648Z] Top recommended movies for user id 72:
[2025-10-01T21:49:29.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-01T21:49:29.648Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-01T21:49:29.648Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-01T21:49:29.648Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-01T21:49:29.648Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-01T21:49:29.648Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19453.118 ms) ======
[2025-10-01T21:49:30.418Z] -----------------------------------
[2025-10-01T21:49:30.418Z] renaissance-movie-lens_0_PASSED
[2025-10-01T21:49:30.418Z] -----------------------------------
[2025-10-01T21:49:30.418Z]
[2025-10-01T21:49:30.418Z] TEST TEARDOWN:
[2025-10-01T21:49:30.418Z] Nothing to be done for teardown.
[2025-10-01T21:49:30.418Z] renaissance-movie-lens_0 Finish Time: Wed Oct 1 21:49:30 2025 Epoch Time (ms): 1759355370162