renaissance-movie-lens_0
[2026-02-20T22:30:47.032Z] Running test renaissance-movie-lens_0 ...
[2026-02-20T22:30:47.032Z] ===============================================
[2026-02-20T22:30:47.804Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 22:30:46 2026 Epoch Time (ms): 1771626646948
[2026-02-20T22:30:47.804Z] variation: NoOptions
[2026-02-20T22:30:47.804Z] JVM_OPTIONS:
[2026-02-20T22:30:47.804Z] { \
[2026-02-20T22:30:47.804Z] echo ""; echo "TEST SETUP:"; \
[2026-02-20T22:30:47.804Z] echo "Nothing to be done for setup."; \
[2026-02-20T22:30:47.804Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17716256165381/renaissance-movie-lens_0"; \
[2026-02-20T22:30:47.804Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17716256165381/renaissance-movie-lens_0"; \
[2026-02-20T22:30:47.804Z] echo ""; echo "TESTING:"; \
[2026-02-20T22:30:47.804Z] "/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_17716256165381/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-20T22:30:47.804Z] 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_17716256165381/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-20T22:30:47.804Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-20T22:30:47.804Z] echo "Nothing to be done for teardown."; \
[2026-02-20T22:30:47.804Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17716256165381/TestTargetResult";
[2026-02-20T22:30:47.804Z]
[2026-02-20T22:30:47.804Z] TEST SETUP:
[2026-02-20T22:30:47.804Z] Nothing to be done for setup.
[2026-02-20T22:30:47.804Z]
[2026-02-20T22:30:47.804Z] TESTING:
[2026-02-20T22:30:57.707Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2026-02-20T22:31:11.525Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-20T22:31:11.525Z] Training: 60056, validation: 20285, test: 19854
[2026-02-20T22:31:11.525Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-20T22:31:11.525Z] GC before operation: completed in 168.934 ms, heap usage 776.618 MB -> 75.556 MB.
[2026-02-20T22:31:18.437Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:31:22.928Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:31:27.404Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:31:31.899Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:31:34.408Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:31:36.905Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:31:39.413Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:31:42.120Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:31:42.899Z] 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.
[2026-02-20T22:31:42.899Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:31:42.899Z] Top recommended movies for user id 72:
[2026-02-20T22:31:42.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:31:42.899Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:31:42.899Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:31:42.899Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:31:42.899Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:31:42.899Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31954.260 ms) ======
[2026-02-20T22:31:42.899Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-20T22:31:43.674Z] GC before operation: completed in 236.685 ms, heap usage 352.492 MB -> 90.691 MB.
[2026-02-20T22:31:50.742Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:31:51.515Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:31:56.024Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:31:59.471Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:32:01.972Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:32:04.471Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:32:06.982Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:32:11.718Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:32:12.492Z] 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.
[2026-02-20T22:32:12.492Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:32:12.492Z] Top recommended movies for user id 72:
[2026-02-20T22:32:12.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:32:12.492Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:32:12.492Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:32:12.492Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:32:12.492Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:32:12.492Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27011.519 ms) ======
[2026-02-20T22:32:12.492Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-20T22:32:12.492Z] GC before operation: completed in 249.544 ms, heap usage 1.242 GB -> 95.491 MB.
[2026-02-20T22:32:14.983Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:32:18.425Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:32:22.909Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:32:26.343Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:32:28.844Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:32:31.828Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:32:33.433Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:32:35.919Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:32:36.707Z] 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.
[2026-02-20T22:32:36.707Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:32:36.707Z] Top recommended movies for user id 72:
[2026-02-20T22:32:36.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:32:36.707Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:32:36.707Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:32:36.707Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:32:36.707Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:32:36.707Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26201.767 ms) ======
[2026-02-20T22:32:36.707Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-20T22:32:37.485Z] GC before operation: completed in 249.832 ms, heap usage 424.603 MB -> 91.632 MB.
[2026-02-20T22:32:43.096Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:32:44.713Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:32:49.379Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:32:52.395Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:32:56.207Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:32:59.940Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:32:59.940Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:33:09.016Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:33:09.016Z] 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.
[2026-02-20T22:33:09.016Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:33:09.016Z] Top recommended movies for user id 72:
[2026-02-20T22:33:09.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:33:09.016Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:33:09.016Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:33:09.016Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:33:09.016Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:33:09.016Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25486.517 ms) ======
[2026-02-20T22:33:09.016Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-20T22:33:09.016Z] GC before operation: completed in 236.593 ms, heap usage 487.626 MB -> 91.974 MB.
[2026-02-20T22:33:09.812Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:33:10.584Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:33:14.061Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:33:26.631Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:33:26.631Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:33:26.631Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:33:26.631Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:33:38.163Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:33:38.163Z] 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.
[2026-02-20T22:33:38.163Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:33:38.163Z] Top recommended movies for user id 72:
[2026-02-20T22:33:38.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:33:38.163Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:33:38.163Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:33:38.163Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:33:38.163Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:33:38.163Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25054.140 ms) ======
[2026-02-20T22:33:38.163Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-20T22:33:38.163Z] GC before operation: completed in 268.424 ms, heap usage 1.160 GB -> 96.240 MB.
[2026-02-20T22:33:38.163Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:33:38.163Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:34:02.649Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:34:02.649Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:34:02.649Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:34:02.649Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:34:02.649Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:34:02.650Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:34:02.650Z] 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.
[2026-02-20T22:34:02.650Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:34:02.650Z] Top recommended movies for user id 72:
[2026-02-20T22:34:02.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:34:02.650Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:34:02.650Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:34:02.650Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:34:02.650Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:34:02.650Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25240.335 ms) ======
[2026-02-20T22:34:02.650Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-20T22:34:02.650Z] GC before operation: completed in 255.002 ms, heap usage 311.678 MB -> 92.005 MB.
[2026-02-20T22:34:02.650Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:34:02.650Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:34:05.202Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:34:08.819Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:34:11.329Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:34:12.931Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:34:15.427Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:34:17.905Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:34:17.905Z] 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.
[2026-02-20T22:34:17.905Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:34:18.682Z] Top recommended movies for user id 72:
[2026-02-20T22:34:18.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:34:18.682Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:34:18.682Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:34:18.682Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:34:18.682Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:34:18.682Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24741.276 ms) ======
[2026-02-20T22:34:18.682Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-20T22:34:18.682Z] GC before operation: completed in 239.040 ms, heap usage 212.971 MB -> 91.944 MB.
[2026-02-20T22:34:23.178Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:34:26.682Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:34:30.128Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:34:33.610Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:34:36.104Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:34:38.592Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:34:41.077Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:34:43.577Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:34:43.577Z] 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.
[2026-02-20T22:34:43.577Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:34:43.577Z] Top recommended movies for user id 72:
[2026-02-20T22:34:43.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:34:43.577Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:34:43.577Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:34:43.577Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:34:43.577Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:34:43.577Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25110.973 ms) ======
[2026-02-20T22:34:43.577Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-20T22:34:44.352Z] GC before operation: completed in 217.610 ms, heap usage 438.203 MB -> 92.293 MB.
[2026-02-20T22:34:47.801Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:34:51.247Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:34:55.739Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:34:59.195Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:35:01.681Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:35:04.166Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:35:06.671Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:35:08.279Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:35:09.056Z] 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.
[2026-02-20T22:35:09.056Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:35:09.056Z] Top recommended movies for user id 72:
[2026-02-20T22:35:09.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:35:09.056Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:35:09.056Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:35:09.056Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:35:09.056Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:35:09.056Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25352.337 ms) ======
[2026-02-20T22:35:09.056Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-20T22:35:09.830Z] GC before operation: completed in 250.505 ms, heap usage 689.297 MB -> 92.435 MB.
[2026-02-20T22:35:13.264Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:35:16.709Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:35:21.243Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:35:24.700Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:35:27.187Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:35:29.667Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:35:32.173Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:35:33.819Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:35:34.609Z] 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.
[2026-02-20T22:35:34.609Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:35:34.609Z] Top recommended movies for user id 72:
[2026-02-20T22:35:34.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:35:34.609Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:35:34.609Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:35:34.610Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:35:34.610Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:35:34.610Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25190.437 ms) ======
[2026-02-20T22:35:34.610Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-20T22:35:35.391Z] GC before operation: completed in 239.395 ms, heap usage 1.056 GB -> 96.386 MB.
[2026-02-20T22:35:38.884Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:35:42.442Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:35:46.985Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:35:50.448Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:35:52.063Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:35:54.554Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:35:57.035Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:35:59.573Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:35:59.573Z] 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.
[2026-02-20T22:35:59.573Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:35:59.573Z] Top recommended movies for user id 72:
[2026-02-20T22:35:59.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:35:59.573Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:35:59.573Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:35:59.573Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:35:59.573Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:35:59.573Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24923.661 ms) ======
[2026-02-20T22:35:59.573Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-20T22:36:00.349Z] GC before operation: completed in 228.886 ms, heap usage 454.496 MB -> 92.084 MB.
[2026-02-20T22:36:03.804Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:36:08.298Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:36:11.746Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:36:15.194Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:36:17.675Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:36:20.153Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:36:22.669Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:36:24.267Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:36:25.221Z] 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.
[2026-02-20T22:36:25.221Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:36:25.221Z] Top recommended movies for user id 72:
[2026-02-20T22:36:25.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:36:25.221Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:36:25.221Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:36:25.221Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:36:25.221Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:36:25.221Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25113.781 ms) ======
[2026-02-20T22:36:25.221Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-20T22:36:25.999Z] GC before operation: completed in 224.683 ms, heap usage 553.323 MB -> 92.403 MB.
[2026-02-20T22:36:29.439Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:36:32.882Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:36:37.381Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:36:40.832Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:36:43.334Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:36:44.931Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:36:47.423Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:36:49.923Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:36:49.923Z] 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.
[2026-02-20T22:36:49.923Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:36:50.696Z] Top recommended movies for user id 72:
[2026-02-20T22:36:50.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:36:50.696Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:36:50.696Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:36:50.696Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:36:50.696Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:36:50.696Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24976.688 ms) ======
[2026-02-20T22:36:50.696Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-20T22:36:50.696Z] GC before operation: completed in 213.703 ms, heap usage 704.562 MB -> 92.736 MB.
[2026-02-20T22:36:55.180Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:36:58.615Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:37:02.052Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:37:05.496Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:37:07.989Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:37:10.471Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:37:12.971Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:37:14.579Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:37:15.351Z] 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.
[2026-02-20T22:37:15.351Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:37:15.351Z] Top recommended movies for user id 72:
[2026-02-20T22:37:15.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:37:15.351Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:37:15.351Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:37:15.351Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:37:15.351Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:37:15.351Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24744.898 ms) ======
[2026-02-20T22:37:15.351Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-20T22:37:15.351Z] GC before operation: completed in 259.747 ms, heap usage 164.409 MB -> 91.959 MB.
[2026-02-20T22:37:19.835Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:37:23.316Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:37:26.774Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:37:31.275Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:37:32.879Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:37:35.365Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:37:37.895Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:37:39.537Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:37:40.406Z] 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.
[2026-02-20T22:37:40.406Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:37:40.406Z] Top recommended movies for user id 72:
[2026-02-20T22:37:40.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:37:40.406Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:37:40.406Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:37:40.406Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:37:40.406Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:37:40.406Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24799.340 ms) ======
[2026-02-20T22:37:40.406Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-20T22:37:41.189Z] GC before operation: completed in 241.015 ms, heap usage 145.537 MB -> 92.248 MB.
[2026-02-20T22:37:44.652Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:37:48.101Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:37:52.652Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:37:56.098Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:37:57.705Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:38:00.196Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:38:02.680Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:38:05.185Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:38:05.185Z] 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.
[2026-02-20T22:38:05.185Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:38:05.185Z] Top recommended movies for user id 72:
[2026-02-20T22:38:05.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:38:05.185Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:38:05.185Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:38:05.185Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:38:05.185Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:38:05.185Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24754.858 ms) ======
[2026-02-20T22:38:05.185Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-20T22:38:05.966Z] GC before operation: completed in 251.279 ms, heap usage 594.752 MB -> 92.503 MB.
[2026-02-20T22:38:09.461Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:38:12.952Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:38:17.485Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:38:20.936Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:38:23.433Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:38:25.042Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:38:27.538Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:38:30.041Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:38:30.041Z] 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.
[2026-02-20T22:38:30.041Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:38:30.817Z] Top recommended movies for user id 72:
[2026-02-20T22:38:30.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:38:30.817Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:38:30.817Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:38:30.817Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:38:30.817Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:38:30.817Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24750.909 ms) ======
[2026-02-20T22:38:30.817Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-20T22:38:30.817Z] GC before operation: completed in 244.533 ms, heap usage 280.091 MB -> 92.256 MB.
[2026-02-20T22:38:34.258Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:38:37.729Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:38:42.390Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:38:45.844Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:38:47.461Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:38:49.957Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:38:52.465Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:38:54.955Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:38:54.955Z] 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.
[2026-02-20T22:38:54.955Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:38:55.728Z] Top recommended movies for user id 72:
[2026-02-20T22:38:55.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:38:55.728Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:38:55.728Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:38:55.728Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:38:55.728Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:38:55.728Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24764.526 ms) ======
[2026-02-20T22:38:55.728Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-20T22:38:55.728Z] GC before operation: completed in 225.908 ms, heap usage 434.552 MB -> 92.218 MB.
[2026-02-20T22:39:00.226Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:39:03.690Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:39:07.181Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:39:10.682Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:39:13.541Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:39:15.198Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:39:17.717Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:39:19.334Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:39:20.124Z] 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.
[2026-02-20T22:39:20.124Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:39:20.124Z] Top recommended movies for user id 72:
[2026-02-20T22:39:20.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:39:20.124Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:39:20.124Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:39:20.124Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:39:20.124Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:39:20.124Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24638.096 ms) ======
[2026-02-20T22:39:20.124Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-20T22:39:20.916Z] GC before operation: completed in 230.594 ms, heap usage 626.370 MB -> 92.567 MB.
[2026-02-20T22:39:24.389Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T22:39:28.054Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T22:39:31.557Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T22:39:36.092Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T22:39:37.707Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T22:39:40.207Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T22:39:42.704Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T22:39:44.313Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T22:39:45.098Z] 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.
[2026-02-20T22:39:45.098Z] The best model improves the baseline by 14.43%.
[2026-02-20T22:39:45.098Z] Top recommended movies for user id 72:
[2026-02-20T22:39:45.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-20T22:39:45.098Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-20T22:39:45.098Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-20T22:39:45.098Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-20T22:39:45.098Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-20T22:39:45.098Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24731.906 ms) ======
[2026-02-20T22:39:45.873Z] -----------------------------------
[2026-02-20T22:39:45.873Z] renaissance-movie-lens_0_PASSED
[2026-02-20T22:39:45.873Z] -----------------------------------
[2026-02-20T22:39:45.873Z]
[2026-02-20T22:39:45.873Z] TEST TEARDOWN:
[2026-02-20T22:39:45.873Z] Nothing to be done for teardown.
[2026-02-20T22:39:45.873Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 22:39:45 2026 Epoch Time (ms): 1771627185467