renaissance-movie-lens_0
[2026-01-11T17:11:44.616Z] Running test renaissance-movie-lens_0 ...
[2026-01-11T17:11:44.616Z] ===============================================
[2026-01-11T17:11:44.616Z] renaissance-movie-lens_0 Start Time: Sun Jan 11 17:11:44 2026 Epoch Time (ms): 1768151504133
[2026-01-11T17:11:44.616Z] variation: NoOptions
[2026-01-11T17:11:44.616Z] JVM_OPTIONS:
[2026-01-11T17:11:44.616Z] { \
[2026-01-11T17:11:44.616Z] echo ""; echo "TEST SETUP:"; \
[2026-01-11T17:11:44.616Z] echo "Nothing to be done for setup."; \
[2026-01-11T17:11:44.616Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17681491471567/renaissance-movie-lens_0"; \
[2026-01-11T17:11:44.616Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17681491471567/renaissance-movie-lens_0"; \
[2026-01-11T17:11:44.616Z] echo ""; echo "TESTING:"; \
[2026-01-11T17:11:44.616Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17681491471567/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-11T17:11:44.616Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17681491471567/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-11T17:11:44.616Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-11T17:11:44.616Z] echo "Nothing to be done for teardown."; \
[2026-01-11T17:11:44.616Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17681491471567/TestTargetResult";
[2026-01-11T17:11:44.616Z]
[2026-01-11T17:11:44.616Z] TEST SETUP:
[2026-01-11T17:11:44.616Z] Nothing to be done for setup.
[2026-01-11T17:11:44.616Z]
[2026-01-11T17:11:44.616Z] TESTING:
[2026-01-11T17:11:48.082Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-11T17:11:48.082Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17681491471567/renaissance-movie-lens_0/launcher-171144-5305560830952721035/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-11T17:11:48.082Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-11T17:11:48.082Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-11T17:12:36.715Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2026-01-11T17:12:50.798Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-11T17:12:50.798Z] Training: 60056, validation: 20285, test: 19854
[2026-01-11T17:12:50.798Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-11T17:12:51.581Z] GC before operation: completed in 157.471 ms, heap usage 536.210 MB -> 75.387 MB.
[2026-01-11T17:12:57.266Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:13:00.739Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:13:05.260Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:13:08.737Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:13:11.245Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:13:12.872Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:13:15.388Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:13:17.906Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:13:17.906Z] 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.
[2026-01-11T17:13:17.906Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:13:18.688Z] Top recommended movies for user id 72:
[2026-01-11T17:13:18.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:13:18.688Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:13:18.688Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:13:18.688Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:13:18.688Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:13:18.688Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27085.418 ms) ======
[2026-01-11T17:13:18.688Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-11T17:13:18.688Z] GC before operation: completed in 149.918 ms, heap usage 351.176 MB -> 86.871 MB.
[2026-01-11T17:13:22.158Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:13:25.630Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:13:30.154Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:13:33.628Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:13:36.131Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:13:38.665Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:13:41.175Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:13:42.802Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:13:43.584Z] 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.
[2026-01-11T17:13:43.584Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:13:43.584Z] Top recommended movies for user id 72:
[2026-01-11T17:13:43.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:13:43.584Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:13:43.584Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:13:43.584Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:13:43.584Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:13:43.584Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25011.227 ms) ======
[2026-01-11T17:13:43.584Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-11T17:13:43.584Z] GC before operation: completed in 178.049 ms, heap usage 653.770 MB -> 93.075 MB.
[2026-01-11T17:13:47.060Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:13:50.551Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:13:55.210Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:13:57.723Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:14:00.237Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:14:01.850Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:14:04.366Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:14:06.871Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:14:06.871Z] 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.
[2026-01-11T17:14:06.871Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:14:07.652Z] Top recommended movies for user id 72:
[2026-01-11T17:14:07.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:14:07.652Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:14:07.652Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:14:07.652Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:14:07.652Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:14:07.652Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23657.848 ms) ======
[2026-01-11T17:14:07.652Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-11T17:14:07.652Z] GC before operation: completed in 139.637 ms, heap usage 316.906 MB -> 90.320 MB.
[2026-01-11T17:14:11.139Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:14:14.620Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:14:18.104Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:14:21.578Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:14:23.200Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:14:26.509Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:14:30.501Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:14:32.290Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:14:32.290Z] 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.
[2026-01-11T17:14:32.290Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:14:32.290Z] Top recommended movies for user id 72:
[2026-01-11T17:14:32.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:14:32.290Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:14:32.290Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:14:32.290Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:14:32.290Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:14:32.290Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25128.888 ms) ======
[2026-01-11T17:14:32.290Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-11T17:14:33.069Z] GC before operation: completed in 141.790 ms, heap usage 246.639 MB -> 90.609 MB.
[2026-01-11T17:14:36.549Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:14:40.016Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:14:44.529Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:14:47.990Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:14:50.495Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:14:52.107Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:14:55.566Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:14:58.068Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:14:58.068Z] 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.
[2026-01-11T17:14:58.068Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:14:58.068Z] Top recommended movies for user id 72:
[2026-01-11T17:14:58.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:14:58.068Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:14:58.068Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:14:58.068Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:14:58.068Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:14:58.068Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25550.762 ms) ======
[2026-01-11T17:14:58.068Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-11T17:14:58.848Z] GC before operation: completed in 149.455 ms, heap usage 135.559 MB -> 90.513 MB.
[2026-01-11T17:15:02.309Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:15:04.817Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:15:10.494Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:15:13.959Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:15:16.464Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:15:18.076Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:15:20.574Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:15:22.196Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:15:22.979Z] 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.
[2026-01-11T17:15:22.979Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:15:22.979Z] Top recommended movies for user id 72:
[2026-01-11T17:15:22.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:15:22.979Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:15:22.979Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:15:22.979Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:15:22.979Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:15:22.979Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24466.298 ms) ======
[2026-01-11T17:15:22.979Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-11T17:15:22.979Z] GC before operation: completed in 147.330 ms, heap usage 316.221 MB -> 91.093 MB.
[2026-01-11T17:15:26.436Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:15:30.959Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:15:35.553Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:15:39.014Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:15:40.631Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:15:42.245Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:15:44.769Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:15:47.281Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:15:47.282Z] 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.
[2026-01-11T17:15:47.282Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:15:47.282Z] Top recommended movies for user id 72:
[2026-01-11T17:15:47.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:15:47.282Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:15:47.282Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:15:47.282Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:15:47.282Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:15:47.282Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24426.020 ms) ======
[2026-01-11T17:15:47.282Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-11T17:15:48.061Z] GC before operation: completed in 155.743 ms, heap usage 853.085 MB -> 94.968 MB.
[2026-01-11T17:15:50.567Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:15:55.081Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:16:00.744Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:16:03.249Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:16:05.767Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:16:07.383Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:16:09.892Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:16:12.412Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:16:12.412Z] 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.
[2026-01-11T17:16:13.214Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:16:13.214Z] Top recommended movies for user id 72:
[2026-01-11T17:16:13.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:16:13.214Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:16:13.214Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:16:13.214Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:16:13.214Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:16:13.215Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25314.820 ms) ======
[2026-01-11T17:16:13.215Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-11T17:16:13.215Z] GC before operation: completed in 181.530 ms, heap usage 318.152 MB -> 91.289 MB.
[2026-01-11T17:16:16.684Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:16:20.161Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:16:24.678Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:16:27.185Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:16:29.693Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:16:31.315Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:16:34.792Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:16:37.314Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:16:37.314Z] 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.
[2026-01-11T17:16:37.314Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:16:38.104Z] Top recommended movies for user id 72:
[2026-01-11T17:16:38.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:16:38.104Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:16:38.104Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:16:38.104Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:16:38.104Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:16:38.104Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24644.997 ms) ======
[2026-01-11T17:16:38.104Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-11T17:16:38.104Z] GC before operation: completed in 128.465 ms, heap usage 448.625 MB -> 91.150 MB.
[2026-01-11T17:16:41.582Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:16:45.057Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:16:49.583Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:16:52.091Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:16:54.597Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:16:56.213Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:16:59.687Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:17:01.307Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:17:02.089Z] 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.
[2026-01-11T17:17:02.089Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:17:02.089Z] Top recommended movies for user id 72:
[2026-01-11T17:17:02.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:17:02.089Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:17:02.089Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:17:02.089Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:17:02.089Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:17:02.089Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23968.516 ms) ======
[2026-01-11T17:17:02.089Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-11T17:17:02.089Z] GC before operation: completed in 138.758 ms, heap usage 1.775 GB -> 97.104 MB.
[2026-01-11T17:17:05.561Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:17:08.074Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:17:12.601Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:17:16.082Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:17:17.691Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:17:19.306Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:17:21.810Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:17:23.427Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:17:23.427Z] 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.
[2026-01-11T17:17:23.427Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:17:24.207Z] Top recommended movies for user id 72:
[2026-01-11T17:17:24.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:17:24.207Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:17:24.207Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:17:24.207Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:17:24.207Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:17:24.207Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21785.847 ms) ======
[2026-01-11T17:17:24.207Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-11T17:17:24.207Z] GC before operation: completed in 114.308 ms, heap usage 439.213 MB -> 90.991 MB.
[2026-01-11T17:17:26.722Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:17:31.236Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:17:34.721Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:17:38.200Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:17:40.887Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:17:42.500Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:17:45.974Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:17:47.586Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:17:48.385Z] 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.
[2026-01-11T17:17:48.385Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:17:48.385Z] Top recommended movies for user id 72:
[2026-01-11T17:17:48.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:17:48.385Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:17:48.385Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:17:48.385Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:17:48.385Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:17:48.385Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24590.489 ms) ======
[2026-01-11T17:17:48.385Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-11T17:17:48.385Z] GC before operation: completed in 145.339 ms, heap usage 147.413 MB -> 91.086 MB.
[2026-01-11T17:17:51.864Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:17:55.358Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:18:03.732Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:18:07.218Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:18:08.832Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:18:11.338Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:18:13.844Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:18:16.358Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:18:17.139Z] 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.
[2026-01-11T17:18:17.139Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:18:17.139Z] Top recommended movies for user id 72:
[2026-01-11T17:18:17.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:18:17.139Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:18:17.139Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:18:17.139Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:18:17.139Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:18:17.139Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28408.377 ms) ======
[2026-01-11T17:18:17.139Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-11T17:18:17.139Z] GC before operation: completed in 121.158 ms, heap usage 225.357 MB -> 91.193 MB.
[2026-01-11T17:18:20.621Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:18:24.087Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:18:34.076Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:18:37.638Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:18:39.250Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:18:40.862Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:18:46.578Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:18:48.201Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:18:48.201Z] 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.
[2026-01-11T17:18:48.201Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:18:48.981Z] Top recommended movies for user id 72:
[2026-01-11T17:18:48.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:18:48.981Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:18:48.981Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:18:48.981Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:18:48.981Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:18:48.981Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (31360.444 ms) ======
[2026-01-11T17:18:48.981Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-11T17:18:48.981Z] GC before operation: completed in 124.534 ms, heap usage 249.122 MB -> 91.012 MB.
[2026-01-11T17:18:52.465Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:18:54.967Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:19:00.653Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:19:03.166Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:19:04.779Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:19:07.280Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:19:09.782Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:19:11.407Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:19:12.187Z] 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.
[2026-01-11T17:19:12.187Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:19:12.187Z] Top recommended movies for user id 72:
[2026-01-11T17:19:12.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:19:12.187Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:19:12.187Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:19:12.187Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:19:12.187Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:19:12.187Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23451.459 ms) ======
[2026-01-11T17:19:12.187Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-11T17:19:12.187Z] GC before operation: completed in 126.167 ms, heap usage 365.740 MB -> 91.441 MB.
[2026-01-11T17:19:15.666Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:19:19.133Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:19:23.657Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:19:26.179Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:19:27.792Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:19:29.413Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:19:31.921Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:19:34.424Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:19:34.424Z] 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.
[2026-01-11T17:19:34.424Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:19:34.424Z] Top recommended movies for user id 72:
[2026-01-11T17:19:34.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:19:34.424Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:19:34.424Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:19:34.424Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:19:34.424Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:19:34.424Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22195.459 ms) ======
[2026-01-11T17:19:34.424Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-11T17:19:34.424Z] GC before operation: completed in 118.169 ms, heap usage 364.842 MB -> 91.270 MB.
[2026-01-11T17:19:37.897Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:19:41.389Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:19:45.924Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:19:49.390Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:19:51.919Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:19:54.431Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:19:57.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:19:59.514Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:19:59.514Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-11T17:20:00.295Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:20:00.295Z] Top recommended movies for user id 72:
[2026-01-11T17:20:00.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:20:00.295Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:20:00.295Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:20:00.295Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:20:00.295Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:20:00.295Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25479.857 ms) ======
[2026-01-11T17:20:00.295Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-11T17:20:00.295Z] GC before operation: completed in 148.138 ms, heap usage 589.263 MB -> 91.555 MB.
[2026-01-11T17:20:03.758Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:20:08.108Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:20:11.658Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:20:14.215Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:20:16.718Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:20:18.339Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:20:21.818Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:20:23.440Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:20:23.440Z] 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.
[2026-01-11T17:20:23.440Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:20:24.220Z] Top recommended movies for user id 72:
[2026-01-11T17:20:24.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:20:24.220Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:20:24.220Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:20:24.220Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:20:24.220Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:20:24.220Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23650.848 ms) ======
[2026-01-11T17:20:24.220Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-11T17:20:24.220Z] GC before operation: completed in 131.871 ms, heap usage 179.107 MB -> 93.077 MB.
[2026-01-11T17:20:27.735Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:20:31.207Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:20:35.728Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:20:39.201Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:20:41.706Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:20:43.325Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:20:45.833Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:20:48.347Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:20:48.347Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-11T17:20:48.347Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:20:48.347Z] Top recommended movies for user id 72:
[2026-01-11T17:20:48.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:20:48.347Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:20:48.347Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:20:48.347Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:20:48.347Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:20:48.347Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24504.554 ms) ======
[2026-01-11T17:20:48.347Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-11T17:20:48.347Z] GC before operation: completed in 120.573 ms, heap usage 315.682 MB -> 91.287 MB.
[2026-01-11T17:20:51.824Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-11T17:20:56.355Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-11T17:21:04.730Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-11T17:21:08.200Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-11T17:21:10.698Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-11T17:21:12.313Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-11T17:21:15.781Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-11T17:21:17.397Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-11T17:21:18.176Z] 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.
[2026-01-11T17:21:18.176Z] The best model improves the baseline by 14.43%.
[2026-01-11T17:21:18.176Z] Top recommended movies for user id 72:
[2026-01-11T17:21:18.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-11T17:21:18.176Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-11T17:21:18.176Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-11T17:21:18.176Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-11T17:21:18.176Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-11T17:21:18.176Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (29533.890 ms) ======
[2026-01-11T17:21:18.956Z] -----------------------------------
[2026-01-11T17:21:18.956Z] renaissance-movie-lens_0_PASSED
[2026-01-11T17:21:18.956Z] -----------------------------------
[2026-01-11T17:21:18.956Z]
[2026-01-11T17:21:18.956Z] TEST TEARDOWN:
[2026-01-11T17:21:18.956Z] Nothing to be done for teardown.
[2026-01-11T17:21:18.956Z] renaissance-movie-lens_0 Finish Time: Sun Jan 11 17:21:18 2026 Epoch Time (ms): 1768152078625