renaissance-movie-lens_0
[2026-01-21T09:28:13.045Z] Running test renaissance-movie-lens_0 ...
[2026-01-21T09:28:13.045Z] ===============================================
[2026-01-21T09:28:13.045Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 09:28:12 2026 Epoch Time (ms): 1768987692904
[2026-01-21T09:28:13.045Z] variation: NoOptions
[2026-01-21T09:28:13.045Z] JVM_OPTIONS:
[2026-01-21T09:28:13.045Z] { \
[2026-01-21T09:28:13.045Z] echo ""; echo "TEST SETUP:"; \
[2026-01-21T09:28:13.045Z] echo "Nothing to be done for setup."; \
[2026-01-21T09:28:13.045Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689866697218/renaissance-movie-lens_0"; \
[2026-01-21T09:28:13.045Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689866697218/renaissance-movie-lens_0"; \
[2026-01-21T09:28:13.045Z] echo ""; echo "TESTING:"; \
[2026-01-21T09:28:13.045Z] "/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_17689866697218/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-21T09:28:13.045Z] 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_17689866697218/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-21T09:28:13.045Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-21T09:28:13.045Z] echo "Nothing to be done for teardown."; \
[2026-01-21T09:28:13.045Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689866697218/TestTargetResult";
[2026-01-21T09:28:13.045Z]
[2026-01-21T09:28:13.045Z] TEST SETUP:
[2026-01-21T09:28:13.045Z] Nothing to be done for setup.
[2026-01-21T09:28:13.045Z]
[2026-01-21T09:28:13.045Z] TESTING:
[2026-01-21T09:28:23.053Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-01-21T09:28:36.981Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-21T09:28:36.981Z] Training: 60056, validation: 20285, test: 19854
[2026-01-21T09:28:36.981Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-21T09:28:36.981Z] GC before operation: completed in 178.508 ms, heap usage 747.480 MB -> 75.487 MB.
[2026-01-21T09:28:42.678Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:28:48.371Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:28:51.849Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:28:56.388Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:28:58.914Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:29:01.434Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:29:03.946Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:29:06.468Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:29:06.469Z] 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.
[2026-01-21T09:29:06.469Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:29:07.270Z] Top recommended movies for user id 72:
[2026-01-21T09:29:07.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:29:07.270Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:29:07.270Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:29:07.270Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:29:07.270Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:29:07.270Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30607.948 ms) ======
[2026-01-21T09:29:07.270Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-21T09:29:07.270Z] GC before operation: completed in 187.848 ms, heap usage 433.118 MB -> 87.976 MB.
[2026-01-21T09:29:11.121Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:29:15.664Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:29:19.148Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:29:23.679Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:29:25.293Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:29:27.806Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:29:30.324Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:29:32.853Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:29:32.853Z] 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.
[2026-01-21T09:29:32.853Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:29:33.639Z] Top recommended movies for user id 72:
[2026-01-21T09:29:33.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:29:33.639Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:29:33.639Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:29:33.639Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:29:33.639Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:29:33.639Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26085.608 ms) ======
[2026-01-21T09:29:33.639Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-21T09:29:33.639Z] GC before operation: completed in 263.545 ms, heap usage 447.271 MB -> 90.821 MB.
[2026-01-21T09:29:37.131Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:29:40.611Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:29:45.157Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:29:48.644Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:29:51.158Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:29:52.778Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:29:55.309Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:29:57.828Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:29:57.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-21T09:29:57.828Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:29:57.828Z] Top recommended movies for user id 72:
[2026-01-21T09:29:57.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:29:57.828Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:29:57.828Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:29:57.828Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:29:57.828Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:29:57.828Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24545.119 ms) ======
[2026-01-21T09:29:57.828Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-21T09:29:58.611Z] GC before operation: completed in 222.888 ms, heap usage 1016.304 MB -> 95.473 MB.
[2026-01-21T09:30:02.132Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:30:05.619Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:30:09.100Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:30:12.579Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:30:15.462Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:30:17.085Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:30:19.607Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:30:22.284Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:30:22.285Z] 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.
[2026-01-21T09:30:22.285Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:30:22.285Z] Top recommended movies for user id 72:
[2026-01-21T09:30:22.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:30:22.285Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:30:22.285Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:30:22.285Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:30:22.285Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:30:22.285Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24123.945 ms) ======
[2026-01-21T09:30:22.285Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-21T09:30:22.285Z] GC before operation: completed in 205.058 ms, heap usage 837.845 MB -> 95.567 MB.
[2026-01-21T09:30:26.813Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:30:30.298Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:30:33.774Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:30:37.286Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:30:39.813Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:30:42.327Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:30:43.950Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:30:46.470Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:30:47.260Z] 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.
[2026-01-21T09:30:47.260Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:30:47.260Z] Top recommended movies for user id 72:
[2026-01-21T09:30:47.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:30:47.260Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:30:47.260Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:30:47.260Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:30:47.260Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:30:47.260Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24553.362 ms) ======
[2026-01-21T09:30:47.260Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-21T09:30:47.260Z] GC before operation: completed in 224.481 ms, heap usage 194.569 MB -> 91.560 MB.
[2026-01-21T09:30:50.739Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:30:55.273Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:30:58.759Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:31:02.240Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:31:03.867Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:31:06.384Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:31:08.895Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:31:10.520Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:31:11.483Z] 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.
[2026-01-21T09:31:11.483Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:31:11.483Z] Top recommended movies for user id 72:
[2026-01-21T09:31:11.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:31:11.483Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:31:11.483Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:31:11.483Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:31:11.483Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:31:11.483Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24141.407 ms) ======
[2026-01-21T09:31:11.483Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-21T09:31:11.483Z] GC before operation: completed in 189.823 ms, heap usage 420.698 MB -> 92.191 MB.
[2026-01-21T09:31:16.028Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:31:18.913Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:31:22.401Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:31:26.936Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:31:28.574Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:31:31.105Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:31:32.737Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:31:35.252Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:31:35.252Z] 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.
[2026-01-21T09:31:36.053Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:31:36.053Z] Top recommended movies for user id 72:
[2026-01-21T09:31:36.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:31:36.053Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:31:36.053Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:31:36.053Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:31:36.053Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:31:36.053Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24122.767 ms) ======
[2026-01-21T09:31:36.053Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-21T09:31:36.053Z] GC before operation: completed in 208.445 ms, heap usage 827.728 MB -> 95.745 MB.
[2026-01-21T09:31:39.531Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:31:44.071Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:31:47.631Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:31:51.115Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:31:52.736Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:31:55.254Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:31:57.950Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:31:59.597Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:32:00.380Z] 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.
[2026-01-21T09:32:00.380Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:32:00.380Z] Top recommended movies for user id 72:
[2026-01-21T09:32:00.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:32:00.380Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:32:00.380Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:32:00.380Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:32:00.380Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:32:00.380Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24305.260 ms) ======
[2026-01-21T09:32:00.380Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-21T09:32:00.380Z] GC before operation: completed in 208.411 ms, heap usage 641.122 MB -> 92.457 MB.
[2026-01-21T09:32:03.855Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:32:07.339Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:32:11.870Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:32:15.346Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:32:17.431Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:32:19.049Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:32:21.573Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:32:24.095Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:32:24.095Z] 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.
[2026-01-21T09:32:24.095Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:32:24.095Z] Top recommended movies for user id 72:
[2026-01-21T09:32:24.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:32:24.095Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:32:24.095Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:32:24.095Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:32:24.095Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:32:24.095Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23782.449 ms) ======
[2026-01-21T09:32:24.095Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-21T09:32:24.878Z] GC before operation: completed in 238.447 ms, heap usage 383.516 MB -> 92.091 MB.
[2026-01-21T09:32:28.374Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:32:31.853Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:32:35.337Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:32:38.813Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:32:41.332Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:32:43.861Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:32:45.483Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:32:48.001Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:32:48.001Z] 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.
[2026-01-21T09:32:48.001Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:32:48.784Z] Top recommended movies for user id 72:
[2026-01-21T09:32:48.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:32:48.785Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:32:48.785Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:32:48.785Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:32:48.785Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:32:48.785Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23938.560 ms) ======
[2026-01-21T09:32:48.785Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-21T09:32:48.785Z] GC before operation: completed in 207.357 ms, heap usage 688.164 MB -> 92.654 MB.
[2026-01-21T09:32:52.264Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:32:56.798Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:33:00.284Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:33:03.792Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:33:05.413Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:33:07.930Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:33:10.446Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:33:12.076Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:33:12.862Z] 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.
[2026-01-21T09:33:12.862Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:33:12.862Z] Top recommended movies for user id 72:
[2026-01-21T09:33:12.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:33:12.862Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:33:12.862Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:33:12.862Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:33:12.862Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:33:12.862Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24177.050 ms) ======
[2026-01-21T09:33:12.862Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-21T09:33:12.862Z] GC before operation: completed in 216.010 ms, heap usage 429.658 MB -> 92.042 MB.
[2026-01-21T09:33:17.396Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:33:20.262Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:33:23.899Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:33:27.380Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:33:29.896Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:33:32.411Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:33:34.038Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:33:36.553Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:33:37.345Z] 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.
[2026-01-21T09:33:37.345Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:33:37.345Z] Top recommended movies for user id 72:
[2026-01-21T09:33:37.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:33:37.345Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:33:37.345Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:33:37.345Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:33:37.345Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:33:37.345Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24028.802 ms) ======
[2026-01-21T09:33:37.345Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-21T09:33:37.345Z] GC before operation: completed in 226.346 ms, heap usage 971.362 MB -> 96.108 MB.
[2026-01-21T09:33:40.823Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:33:45.366Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:33:48.894Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:33:52.377Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:33:53.998Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:33:56.516Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:33:59.037Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:34:00.664Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:34:01.452Z] 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.
[2026-01-21T09:34:01.452Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:34:01.452Z] Top recommended movies for user id 72:
[2026-01-21T09:34:01.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:34:01.452Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:34:01.452Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:34:01.452Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:34:01.452Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:34:01.452Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24155.147 ms) ======
[2026-01-21T09:34:01.452Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-21T09:34:01.452Z] GC before operation: completed in 210.081 ms, heap usage 556.524 MB -> 92.532 MB.
[2026-01-21T09:34:05.993Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:34:09.483Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:34:12.968Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:34:16.444Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:34:18.062Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:34:20.580Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:34:23.373Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:34:24.991Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:34:24.991Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-21T09:34:24.991Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:34:25.775Z] Top recommended movies for user id 72:
[2026-01-21T09:34:25.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:34:25.775Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:34:25.775Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:34:25.775Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:34:25.775Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:34:25.775Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23755.066 ms) ======
[2026-01-21T09:34:25.775Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-21T09:34:25.775Z] GC before operation: completed in 257.759 ms, heap usage 144.878 MB -> 93.937 MB.
[2026-01-21T09:34:29.305Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:34:32.784Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:34:37.323Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:34:39.840Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:34:42.358Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:34:44.871Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:34:46.498Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:34:49.018Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:34:49.018Z] 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.
[2026-01-21T09:34:49.018Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:34:49.801Z] Top recommended movies for user id 72:
[2026-01-21T09:34:49.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:34:49.801Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:34:49.801Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:34:49.801Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:34:49.801Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:34:49.801Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23710.113 ms) ======
[2026-01-21T09:34:49.801Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-21T09:34:49.801Z] GC before operation: completed in 228.410 ms, heap usage 456.644 MB -> 92.499 MB.
[2026-01-21T09:34:53.275Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:34:56.750Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:35:01.459Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:35:03.979Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:35:06.501Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:35:09.023Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:35:10.641Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:35:13.182Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:35:13.182Z] 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.
[2026-01-21T09:35:13.182Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:35:13.182Z] Top recommended movies for user id 72:
[2026-01-21T09:35:13.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:35:13.182Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:35:13.182Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:35:13.182Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:35:13.182Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:35:13.182Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23767.677 ms) ======
[2026-01-21T09:35:13.182Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-21T09:35:13.970Z] GC before operation: completed in 232.960 ms, heap usage 446.728 MB -> 92.311 MB.
[2026-01-21T09:35:17.459Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:35:20.945Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:35:24.521Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:35:28.275Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:35:29.901Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:35:32.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:35:34.938Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:35:36.566Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:35:36.566Z] 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.
[2026-01-21T09:35:36.566Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:35:37.350Z] Top recommended movies for user id 72:
[2026-01-21T09:35:37.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:35:37.350Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:35:37.350Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:35:37.350Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:35:37.350Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:35:37.350Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23390.210 ms) ======
[2026-01-21T09:35:37.350Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-21T09:35:37.350Z] GC before operation: completed in 218.824 ms, heap usage 726.834 MB -> 96.012 MB.
[2026-01-21T09:35:40.834Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:35:44.312Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:35:47.797Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:35:51.271Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:35:53.809Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:35:55.436Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:35:57.983Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:36:00.546Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:36:00.546Z] 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.
[2026-01-21T09:36:00.546Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:36:00.546Z] Top recommended movies for user id 72:
[2026-01-21T09:36:00.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:36:00.546Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:36:00.546Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:36:00.546Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:36:00.546Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:36:00.546Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23381.257 ms) ======
[2026-01-21T09:36:00.546Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-21T09:36:01.337Z] GC before operation: completed in 193.712 ms, heap usage 463.868 MB -> 92.252 MB.
[2026-01-21T09:36:04.825Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:36:08.309Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:36:11.990Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:36:15.466Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:36:17.990Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:36:19.610Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:36:22.275Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:36:23.898Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:36:24.713Z] 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.
[2026-01-21T09:36:24.714Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:36:24.714Z] Top recommended movies for user id 72:
[2026-01-21T09:36:24.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:36:24.714Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:36:24.714Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:36:24.714Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:36:24.714Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:36:24.714Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23978.243 ms) ======
[2026-01-21T09:36:24.714Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-21T09:36:25.498Z] GC before operation: completed in 233.744 ms, heap usage 468.257 MB -> 92.452 MB.
[2026-01-21T09:36:28.969Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T09:36:32.462Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T09:36:35.963Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T09:36:39.466Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T09:36:41.086Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T09:36:43.599Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T09:36:46.126Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T09:36:48.637Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T09:36:48.637Z] 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.
[2026-01-21T09:36:48.637Z] The best model improves the baseline by 14.43%.
[2026-01-21T09:36:48.637Z] Top recommended movies for user id 72:
[2026-01-21T09:36:48.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-21T09:36:48.637Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-21T09:36:48.637Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-21T09:36:48.637Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-21T09:36:48.637Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-21T09:36:48.637Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23762.143 ms) ======
[2026-01-21T09:36:49.426Z] -----------------------------------
[2026-01-21T09:36:49.426Z] renaissance-movie-lens_0_PASSED
[2026-01-21T09:36:49.426Z] -----------------------------------
[2026-01-21T09:36:49.426Z]
[2026-01-21T09:36:49.426Z] TEST TEARDOWN:
[2026-01-21T09:36:49.426Z] Nothing to be done for teardown.
[2026-01-21T09:36:49.426Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 09:36:49 2026 Epoch Time (ms): 1768988209240