renaissance-movie-lens_0
[2026-01-14T22:14:51.202Z] Running test renaissance-movie-lens_0 ...
[2026-01-14T22:14:51.202Z] ===============================================
[2026-01-14T22:14:51.202Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 22:14:50 2026 Epoch Time (ms): 1768428890372
[2026-01-14T22:14:51.203Z] variation: NoOptions
[2026-01-14T22:14:51.203Z] JVM_OPTIONS:
[2026-01-14T22:14:51.203Z] { \
[2026-01-14T22:14:51.203Z] echo ""; echo "TEST SETUP:"; \
[2026-01-14T22:14:51.203Z] echo "Nothing to be done for setup."; \
[2026-01-14T22:14:51.203Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684272575766/renaissance-movie-lens_0"; \
[2026-01-14T22:14:51.203Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684272575766/renaissance-movie-lens_0"; \
[2026-01-14T22:14:51.203Z] echo ""; echo "TESTING:"; \
[2026-01-14T22:14:51.203Z] "/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_17684272575766/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-14T22:14:51.203Z] 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_17684272575766/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-14T22:14:51.203Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-14T22:14:51.203Z] echo "Nothing to be done for teardown."; \
[2026-01-14T22:14:51.203Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17684272575766/TestTargetResult";
[2026-01-14T22:14:51.203Z]
[2026-01-14T22:14:51.203Z] TEST SETUP:
[2026-01-14T22:14:51.203Z] Nothing to be done for setup.
[2026-01-14T22:14:51.203Z]
[2026-01-14T22:14:51.203Z] TESTING:
[2026-01-14T22:14:59.513Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-01-14T22:15:13.303Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-14T22:15:14.084Z] Training: 60056, validation: 20285, test: 19854
[2026-01-14T22:15:14.084Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-14T22:15:14.084Z] GC before operation: completed in 186.735 ms, heap usage 466.924 MB -> 75.400 MB.
[2026-01-14T22:15:20.985Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:15:25.479Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:15:29.961Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:15:33.395Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:15:35.886Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:15:38.369Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:15:40.873Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:15:43.372Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:15:44.145Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:15:44.145Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:15:44.145Z] Top recommended movies for user id 72:
[2026-01-14T22:15:44.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:15:44.145Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:15:44.145Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:15:44.145Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:15:44.145Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:15:44.145Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30200.511 ms) ======
[2026-01-14T22:15:44.145Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-14T22:15:44.145Z] GC before operation: completed in 210.809 ms, heap usage 516.328 MB -> 90.783 MB.
[2026-01-14T22:15:48.634Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:15:52.076Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:15:56.566Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:16:00.006Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:16:02.506Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:16:04.996Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:16:07.512Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:16:09.108Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:16:09.881Z] 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.
[2026-01-14T22:16:09.881Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:16:09.881Z] Top recommended movies for user id 72:
[2026-01-14T22:16:09.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:16:09.881Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:16:09.881Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:16:09.881Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:16:09.881Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:16:09.881Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25620.007 ms) ======
[2026-01-14T22:16:09.881Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-14T22:16:09.881Z] GC before operation: completed in 237.403 ms, heap usage 1.012 GB -> 94.774 MB.
[2026-01-14T22:16:14.361Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:16:17.826Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:16:22.323Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:16:25.769Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:16:28.252Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:16:30.738Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:16:32.333Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:16:34.825Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:16:35.598Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:16:35.598Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:16:35.598Z] Top recommended movies for user id 72:
[2026-01-14T22:16:35.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:16:35.598Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:16:35.598Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:16:35.598Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:16:35.598Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:16:35.598Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25327.339 ms) ======
[2026-01-14T22:16:35.598Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-14T22:16:35.598Z] GC before operation: completed in 234.635 ms, heap usage 382.772 MB -> 91.636 MB.
[2026-01-14T22:16:40.079Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:16:43.525Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:16:46.981Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:16:51.487Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:16:53.096Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:16:55.584Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:16:58.071Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:17:00.564Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:17:00.564Z] 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.
[2026-01-14T22:17:00.564Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:17:01.376Z] Top recommended movies for user id 72:
[2026-01-14T22:17:01.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:17:01.376Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:17:01.376Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:17:01.376Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:17:01.376Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:17:01.376Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25136.543 ms) ======
[2026-01-14T22:17:01.376Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-14T22:17:01.376Z] GC before operation: completed in 234.435 ms, heap usage 543.600 MB -> 91.958 MB.
[2026-01-14T22:17:04.829Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:17:08.276Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:17:12.769Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:17:16.219Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:17:17.872Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:17:20.363Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:17:22.847Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:17:25.347Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:17:25.347Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:17:25.347Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:17:26.121Z] Top recommended movies for user id 72:
[2026-01-14T22:17:26.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:17:26.121Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:17:26.121Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:17:26.121Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:17:26.121Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:17:26.121Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24714.625 ms) ======
[2026-01-14T22:17:26.121Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-14T22:17:26.121Z] GC before operation: completed in 258.021 ms, heap usage 280.501 MB -> 91.656 MB.
[2026-01-14T22:17:29.622Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:17:34.094Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:17:37.530Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:17:41.143Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:17:43.628Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:17:46.110Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:17:48.598Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:17:50.195Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:17:50.972Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:17:50.972Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:17:50.972Z] Top recommended movies for user id 72:
[2026-01-14T22:17:50.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:17:50.972Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:17:50.972Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:17:50.972Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:17:50.972Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:17:50.972Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24922.276 ms) ======
[2026-01-14T22:17:50.972Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-14T22:17:50.972Z] GC before operation: completed in 228.600 ms, heap usage 417.164 MB -> 92.195 MB.
[2026-01-14T22:17:55.453Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:17:58.899Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:18:03.388Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:18:06.833Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:18:09.314Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:18:10.910Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:18:13.387Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:18:15.875Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:18:16.648Z] 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.
[2026-01-14T22:18:16.648Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:18:16.648Z] Top recommended movies for user id 72:
[2026-01-14T22:18:16.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:18:16.648Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:18:16.648Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:18:16.648Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:18:16.648Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:18:16.648Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25258.912 ms) ======
[2026-01-14T22:18:16.648Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-14T22:18:16.648Z] GC before operation: completed in 295.969 ms, heap usage 429.711 MB -> 92.104 MB.
[2026-01-14T22:18:21.147Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:18:24.601Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:18:28.161Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:18:31.601Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:18:34.103Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:18:36.596Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:18:39.079Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:18:41.570Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:18:41.571Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:18:41.571Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:18:42.347Z] Top recommended movies for user id 72:
[2026-01-14T22:18:42.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:18:42.347Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:18:42.347Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:18:42.347Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:18:42.347Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:18:42.347Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25162.107 ms) ======
[2026-01-14T22:18:42.347Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-14T22:18:42.347Z] GC before operation: completed in 233.131 ms, heap usage 124.686 MB -> 94.226 MB.
[2026-01-14T22:18:45.798Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:18:50.285Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:18:53.726Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:18:57.164Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:18:59.707Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:19:02.203Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:19:04.685Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:19:07.196Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:19:07.197Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:19:07.197Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:19:07.197Z] Top recommended movies for user id 72:
[2026-01-14T22:19:07.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:19:07.197Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:19:07.197Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:19:07.197Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:19:07.197Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:19:07.197Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25177.545 ms) ======
[2026-01-14T22:19:07.197Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-14T22:19:07.971Z] GC before operation: completed in 225.943 ms, heap usage 706.429 MB -> 92.481 MB.
[2026-01-14T22:19:11.411Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:19:14.910Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:19:19.403Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:19:22.891Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:19:25.376Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:19:26.977Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:19:30.438Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:19:32.575Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:19:32.575Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:19:32.575Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:19:32.575Z] Top recommended movies for user id 72:
[2026-01-14T22:19:32.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:19:32.575Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:19:32.575Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:19:32.575Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:19:32.575Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:19:32.575Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24971.687 ms) ======
[2026-01-14T22:19:32.575Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-14T22:19:33.450Z] GC before operation: completed in 210.122 ms, heap usage 317.416 MB -> 92.309 MB.
[2026-01-14T22:19:36.764Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:19:40.210Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:19:44.704Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:19:48.145Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:19:50.640Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:19:52.247Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:19:54.739Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:19:57.222Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:19:57.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:19:57.995Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:19:57.995Z] Top recommended movies for user id 72:
[2026-01-14T22:19:57.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:19:57.995Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:19:57.995Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:19:57.995Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:19:57.995Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:19:57.995Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25131.222 ms) ======
[2026-01-14T22:19:57.995Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-14T22:19:57.995Z] GC before operation: completed in 231.212 ms, heap usage 279.070 MB -> 91.953 MB.
[2026-01-14T22:20:02.477Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:20:05.912Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:20:09.350Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:20:13.862Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:20:15.463Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:20:17.957Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:20:20.448Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:20:22.930Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:20:22.930Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:20:22.930Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:20:22.930Z] Top recommended movies for user id 72:
[2026-01-14T22:20:22.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:20:22.930Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:20:22.930Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:20:22.930Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:20:22.930Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:20:22.930Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25064.412 ms) ======
[2026-01-14T22:20:22.930Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-14T22:20:23.703Z] GC before operation: completed in 217.059 ms, heap usage 342.711 MB -> 92.293 MB.
[2026-01-14T22:20:27.146Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:20:30.658Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:20:35.142Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:20:38.584Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:20:41.066Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:20:43.555Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:20:45.155Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:20:47.640Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:20:48.414Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:20:48.414Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:20:48.414Z] Top recommended movies for user id 72:
[2026-01-14T22:20:48.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:20:48.414Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:20:48.414Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:20:48.414Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:20:48.414Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:20:48.414Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24941.214 ms) ======
[2026-01-14T22:20:48.414Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-14T22:20:48.414Z] GC before operation: completed in 242.425 ms, heap usage 566.350 MB -> 92.555 MB.
[2026-01-14T22:20:52.914Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:20:56.367Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:20:59.800Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:21:04.296Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:21:05.895Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:21:08.384Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:21:10.864Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:21:12.469Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:21:13.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:21:13.244Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:21:13.244Z] Top recommended movies for user id 72:
[2026-01-14T22:21:13.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:21:13.244Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:21:13.244Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:21:13.244Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:21:13.244Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:21:13.244Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24706.838 ms) ======
[2026-01-14T22:21:13.244Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-14T22:21:14.015Z] GC before operation: completed in 252.550 ms, heap usage 671.698 MB -> 92.509 MB.
[2026-01-14T22:21:17.455Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:21:20.905Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:21:25.393Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:21:28.921Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:21:30.532Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:21:33.022Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:21:35.528Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:21:37.127Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:21:37.902Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:21:37.902Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:21:37.902Z] Top recommended movies for user id 72:
[2026-01-14T22:21:37.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:21:37.902Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:21:37.902Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:21:37.902Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:21:37.902Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:21:37.902Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24544.795 ms) ======
[2026-01-14T22:21:37.902Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-14T22:21:38.674Z] GC before operation: completed in 239.856 ms, heap usage 458.633 MB -> 92.533 MB.
[2026-01-14T22:21:42.113Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:21:45.558Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:21:50.043Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:21:53.478Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:21:55.076Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:21:57.560Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:22:00.043Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:22:02.561Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:22:02.561Z] 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.
[2026-01-14T22:22:02.561Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:22:02.561Z] Top recommended movies for user id 72:
[2026-01-14T22:22:02.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:22:02.561Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:22:02.561Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:22:02.561Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:22:02.561Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:22:02.561Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24343.303 ms) ======
[2026-01-14T22:22:02.561Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-14T22:22:03.334Z] GC before operation: completed in 222.839 ms, heap usage 672.961 MB -> 92.607 MB.
[2026-01-14T22:22:06.771Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:22:10.212Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:22:14.694Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:22:17.176Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:22:19.657Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:22:22.151Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:22:24.634Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:22:26.237Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:22:27.030Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:22:27.030Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:22:27.030Z] Top recommended movies for user id 72:
[2026-01-14T22:22:27.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:22:27.030Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:22:27.030Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:22:27.030Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:22:27.030Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:22:27.030Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24286.007 ms) ======
[2026-01-14T22:22:27.030Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-14T22:22:27.967Z] GC before operation: completed in 204.368 ms, heap usage 158.633 MB -> 92.189 MB.
[2026-01-14T22:22:31.402Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:22:34.845Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:22:39.335Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:22:41.993Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:22:44.478Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:22:46.972Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:22:49.478Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:22:51.077Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:22:51.850Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:22:51.850Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:22:51.850Z] Top recommended movies for user id 72:
[2026-01-14T22:22:51.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:22:51.850Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:22:51.850Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:22:51.850Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:22:51.850Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:22:51.850Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24464.581 ms) ======
[2026-01-14T22:22:51.850Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-14T22:22:51.850Z] GC before operation: completed in 239.797 ms, heap usage 283.912 MB -> 92.140 MB.
[2026-01-14T22:22:56.335Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:22:59.781Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:23:03.221Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:23:06.657Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:23:09.150Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:23:11.637Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:23:14.135Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:23:15.739Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:23:16.514Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:23:16.514Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:23:16.514Z] Top recommended movies for user id 72:
[2026-01-14T22:23:16.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:23:16.514Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:23:16.514Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:23:16.514Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:23:16.514Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:23:16.514Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24335.987 ms) ======
[2026-01-14T22:23:16.514Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-14T22:23:16.514Z] GC before operation: completed in 224.161 ms, heap usage 724.641 MB -> 96.015 MB.
[2026-01-14T22:23:20.998Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-14T22:23:24.441Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-14T22:23:27.971Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-14T22:23:31.433Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-14T22:23:33.943Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-14T22:23:35.541Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-14T22:23:38.026Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-14T22:23:40.519Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-14T22:23:40.519Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-14T22:23:40.519Z] The best model improves the baseline by 14.43%.
[2026-01-14T22:23:41.293Z] Top recommended movies for user id 72:
[2026-01-14T22:23:41.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-14T22:23:41.293Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-14T22:23:41.293Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-14T22:23:41.293Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-14T22:23:41.293Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-14T22:23:41.293Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24169.658 ms) ======
[2026-01-14T22:23:41.293Z] -----------------------------------
[2026-01-14T22:23:41.293Z] renaissance-movie-lens_0_PASSED
[2026-01-14T22:23:41.293Z] -----------------------------------
[2026-01-14T22:23:41.293Z]
[2026-01-14T22:23:41.293Z] TEST TEARDOWN:
[2026-01-14T22:23:41.293Z] Nothing to be done for teardown.
[2026-01-14T22:23:41.293Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 22:23:41 2026 Epoch Time (ms): 1768429421034