renaissance-movie-lens_0
[2026-01-31T15:18:40.800Z] Running test renaissance-movie-lens_0 ...
[2026-01-31T15:18:40.800Z] ===============================================
[2026-01-31T15:18:40.800Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 15:18:40 2026 Epoch Time (ms): 1769872720608
[2026-01-31T15:18:40.800Z] variation: NoOptions
[2026-01-31T15:18:40.800Z] JVM_OPTIONS:
[2026-01-31T15:18:40.800Z] { \
[2026-01-31T15:18:40.800Z] echo ""; echo "TEST SETUP:"; \
[2026-01-31T15:18:40.800Z] echo "Nothing to be done for setup."; \
[2026-01-31T15:18:40.800Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17698712801857/renaissance-movie-lens_0"; \
[2026-01-31T15:18:40.800Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17698712801857/renaissance-movie-lens_0"; \
[2026-01-31T15:18:40.800Z] echo ""; echo "TESTING:"; \
[2026-01-31T15:18:40.800Z] "/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_17698712801857/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-31T15:18:40.800Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17698712801857/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-31T15:18:40.800Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-31T15:18:40.800Z] echo "Nothing to be done for teardown."; \
[2026-01-31T15:18:40.800Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17698712801857/TestTargetResult";
[2026-01-31T15:18:40.800Z]
[2026-01-31T15:18:40.800Z] TEST SETUP:
[2026-01-31T15:18:40.800Z] Nothing to be done for setup.
[2026-01-31T15:18:40.800Z]
[2026-01-31T15:18:40.800Z] TESTING:
[2026-01-31T15:18:42.411Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-31T15:18:42.411Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17698712801857/renaissance-movie-lens_0/launcher-151840-10548183472484220194/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-31T15:18:42.411Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-31T15:18:42.411Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-31T15:19:31.031Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2026-01-31T15:19:47.473Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-31T15:19:47.473Z] Training: 60056, validation: 20285, test: 19854
[2026-01-31T15:19:47.473Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-31T15:19:47.473Z] GC before operation: completed in 140.664 ms, heap usage 481.430 MB -> 75.203 MB.
[2026-01-31T15:19:53.149Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:19:56.616Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:20:02.281Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:20:05.751Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:20:07.365Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:20:09.876Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:20:12.881Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:20:15.392Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:20:15.392Z] 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.
[2026-01-31T15:20:15.392Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:20:15.392Z] Top recommended movies for user id 72:
[2026-01-31T15:20:15.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:20:15.392Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:20:15.392Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:20:15.392Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:20:15.392Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:20:15.392Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28802.645 ms) ======
[2026-01-31T15:20:15.392Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-31T15:20:16.173Z] GC before operation: completed in 146.150 ms, heap usage 327.467 MB -> 89.164 MB.
[2026-01-31T15:20:19.640Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:20:24.227Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:20:29.894Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:20:33.409Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:20:35.925Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:20:39.397Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:20:43.918Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:20:46.424Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:20:47.203Z] 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.
[2026-01-31T15:20:47.204Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:20:47.204Z] Top recommended movies for user id 72:
[2026-01-31T15:20:47.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:20:47.204Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:20:47.204Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:20:47.204Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:20:47.204Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:20:47.204Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31501.791 ms) ======
[2026-01-31T15:20:47.204Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-31T15:20:47.204Z] GC before operation: completed in 132.284 ms, heap usage 321.467 MB -> 89.395 MB.
[2026-01-31T15:20:51.718Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:20:56.234Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:21:04.600Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:21:08.071Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:21:09.694Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:21:11.308Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:21:13.816Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:21:16.348Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:21:16.348Z] 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.
[2026-01-31T15:21:16.348Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:21:16.348Z] Top recommended movies for user id 72:
[2026-01-31T15:21:16.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:21:16.348Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:21:16.348Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:21:16.348Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:21:16.348Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:21:16.348Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29161.507 ms) ======
[2026-01-31T15:21:16.348Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-31T15:21:17.130Z] GC before operation: completed in 134.510 ms, heap usage 309.156 MB -> 90.351 MB.
[2026-01-31T15:21:19.687Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:21:23.170Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:21:30.130Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:21:33.546Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:21:35.163Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:21:36.777Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:21:39.288Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:21:40.919Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:21:40.919Z] 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.
[2026-01-31T15:21:40.920Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:21:41.709Z] Top recommended movies for user id 72:
[2026-01-31T15:21:41.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:21:41.709Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:21:41.709Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:21:41.709Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:21:41.709Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:21:41.709Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24694.890 ms) ======
[2026-01-31T15:21:41.709Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-31T15:21:41.709Z] GC before operation: completed in 130.392 ms, heap usage 112.155 MB -> 90.513 MB.
[2026-01-31T15:21:45.185Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:21:47.700Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:21:52.243Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:21:54.754Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:21:57.263Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:21:58.871Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:22:01.371Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:22:03.880Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:22:03.880Z] 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.
[2026-01-31T15:22:03.880Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:22:03.880Z] Top recommended movies for user id 72:
[2026-01-31T15:22:03.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:22:03.880Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:22:03.880Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:22:03.880Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:22:03.880Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:22:03.880Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22383.801 ms) ======
[2026-01-31T15:22:03.880Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-31T15:22:03.880Z] GC before operation: completed in 133.159 ms, heap usage 357.041 MB -> 90.799 MB.
[2026-01-31T15:22:07.372Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:22:09.868Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:22:13.327Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:22:16.812Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:22:17.608Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:22:19.214Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:22:21.726Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:22:23.351Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:22:23.351Z] 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.
[2026-01-31T15:22:23.351Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:22:24.130Z] Top recommended movies for user id 72:
[2026-01-31T15:22:24.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:22:24.130Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:22:24.130Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:22:24.130Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:22:24.130Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:22:24.130Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19662.851 ms) ======
[2026-01-31T15:22:24.130Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-31T15:22:24.130Z] GC before operation: completed in 145.900 ms, heap usage 2.643 GB -> 97.428 MB.
[2026-01-31T15:22:26.627Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:22:30.093Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:22:34.629Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:22:37.135Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:22:38.765Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:22:40.387Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:22:41.995Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:22:43.613Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:22:44.392Z] 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.
[2026-01-31T15:22:44.392Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:22:44.392Z] Top recommended movies for user id 72:
[2026-01-31T15:22:44.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:22:44.392Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:22:44.392Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:22:44.392Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:22:44.392Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:22:44.392Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20444.412 ms) ======
[2026-01-31T15:22:44.392Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-31T15:22:44.392Z] GC before operation: completed in 144.268 ms, heap usage 2.492 GB -> 97.264 MB.
[2026-01-31T15:22:47.441Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:22:50.148Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:22:54.678Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:22:58.141Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:22:59.753Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:23:01.363Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:23:03.864Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:23:05.491Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:23:05.491Z] 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.
[2026-01-31T15:23:05.491Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:23:05.491Z] Top recommended movies for user id 72:
[2026-01-31T15:23:05.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:23:05.491Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:23:05.491Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:23:05.491Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:23:05.491Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:23:05.491Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21280.590 ms) ======
[2026-01-31T15:23:05.491Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-31T15:23:06.279Z] GC before operation: completed in 130.155 ms, heap usage 638.625 MB -> 91.535 MB.
[2026-01-31T15:23:08.797Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:23:12.275Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:23:15.738Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:23:18.246Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:23:19.870Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:23:22.418Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:23:24.040Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:23:26.594Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:23:26.594Z] 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.
[2026-01-31T15:23:26.594Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:23:26.594Z] Top recommended movies for user id 72:
[2026-01-31T15:23:26.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:23:26.594Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:23:26.594Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:23:26.594Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:23:26.594Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:23:26.594Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20984.055 ms) ======
[2026-01-31T15:23:26.594Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-31T15:23:27.462Z] GC before operation: completed in 124.017 ms, heap usage 271.843 MB -> 91.146 MB.
[2026-01-31T15:23:30.023Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:23:33.498Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:23:38.029Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:23:40.543Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:23:42.156Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:23:43.769Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:23:46.271Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:23:47.888Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:23:48.668Z] 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.
[2026-01-31T15:23:48.668Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:23:48.668Z] Top recommended movies for user id 72:
[2026-01-31T15:23:48.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:23:48.668Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:23:48.668Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:23:48.668Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:23:48.668Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:23:48.668Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21635.118 ms) ======
[2026-01-31T15:23:48.669Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-31T15:23:48.669Z] GC before operation: completed in 123.979 ms, heap usage 1.177 GB -> 96.071 MB.
[2026-01-31T15:23:52.170Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:23:55.133Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:23:58.945Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:24:01.451Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:24:03.956Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:24:05.567Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:24:08.068Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:24:09.704Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:24:09.704Z] 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.
[2026-01-31T15:24:09.704Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:24:10.484Z] Top recommended movies for user id 72:
[2026-01-31T15:24:10.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:24:10.484Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:24:10.484Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:24:10.484Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:24:10.484Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:24:10.484Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21369.371 ms) ======
[2026-01-31T15:24:10.484Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-31T15:24:10.484Z] GC before operation: completed in 126.096 ms, heap usage 744.117 MB -> 94.718 MB.
[2026-01-31T15:24:12.994Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:24:16.473Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:24:19.938Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:24:22.491Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:24:24.112Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:24:25.743Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:24:28.256Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:24:29.882Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:24:30.661Z] 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.
[2026-01-31T15:24:30.661Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:24:30.661Z] Top recommended movies for user id 72:
[2026-01-31T15:24:30.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:24:30.661Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:24:30.661Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:24:30.661Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:24:30.661Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:24:30.661Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20201.289 ms) ======
[2026-01-31T15:24:30.661Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-31T15:24:30.661Z] GC before operation: completed in 140.497 ms, heap usage 2.336 GB -> 97.549 MB.
[2026-01-31T15:24:33.178Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:24:36.639Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:24:41.165Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:24:43.846Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:24:45.457Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:24:47.980Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:24:50.484Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:24:52.132Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:24:52.132Z] 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.
[2026-01-31T15:24:52.132Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:24:52.132Z] Top recommended movies for user id 72:
[2026-01-31T15:24:52.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:24:52.132Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:24:52.132Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:24:52.132Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:24:52.132Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:24:52.132Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21854.698 ms) ======
[2026-01-31T15:24:52.132Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-31T15:24:52.912Z] GC before operation: completed in 129.841 ms, heap usage 944.788 MB -> 95.272 MB.
[2026-01-31T15:24:55.416Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:24:58.879Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:25:02.339Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:25:05.817Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:25:07.439Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:25:09.061Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:25:12.188Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:25:13.804Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:25:13.804Z] 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.
[2026-01-31T15:25:14.588Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:25:14.588Z] Top recommended movies for user id 72:
[2026-01-31T15:25:14.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:25:14.588Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:25:14.588Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:25:14.588Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:25:14.588Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:25:14.588Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21825.461 ms) ======
[2026-01-31T15:25:14.588Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-31T15:25:14.588Z] GC before operation: completed in 137.148 ms, heap usage 329.955 MB -> 91.054 MB.
[2026-01-31T15:25:18.110Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:25:20.629Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:25:25.146Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:25:27.786Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:25:30.291Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:25:31.906Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:25:34.406Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:25:36.013Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:25:36.804Z] 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.
[2026-01-31T15:25:36.804Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:25:36.804Z] Top recommended movies for user id 72:
[2026-01-31T15:25:36.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:25:36.804Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:25:36.804Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:25:36.804Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:25:36.804Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:25:36.804Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22246.871 ms) ======
[2026-01-31T15:25:36.804Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-31T15:25:36.804Z] GC before operation: completed in 129.246 ms, heap usage 366.874 MB -> 91.581 MB.
[2026-01-31T15:25:40.305Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:25:43.783Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:25:47.255Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:25:50.724Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:25:52.332Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:25:53.945Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:25:56.471Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:25:58.090Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:25:58.875Z] 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.
[2026-01-31T15:25:58.875Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:25:58.875Z] Top recommended movies for user id 72:
[2026-01-31T15:25:58.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:25:58.875Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:25:58.875Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:25:58.875Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:25:58.875Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:25:58.875Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21982.411 ms) ======
[2026-01-31T15:25:58.875Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-31T15:25:58.875Z] GC before operation: completed in 120.731 ms, heap usage 318.463 MB -> 91.297 MB.
[2026-01-31T15:26:02.361Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:26:04.891Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:26:09.420Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:26:11.931Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:26:13.579Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:26:16.075Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:26:17.682Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:26:20.186Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:26:20.186Z] 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.
[2026-01-31T15:26:20.186Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:26:20.186Z] Top recommended movies for user id 72:
[2026-01-31T15:26:20.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:26:20.186Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:26:20.186Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:26:20.186Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:26:20.186Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:26:20.186Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21446.851 ms) ======
[2026-01-31T15:26:20.186Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-31T15:26:20.969Z] GC before operation: completed in 129.319 ms, heap usage 318.768 MB -> 91.513 MB.
[2026-01-31T15:26:23.463Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:26:26.360Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:26:32.087Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:26:34.615Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:26:37.123Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:26:38.749Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:26:41.247Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:26:42.863Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:26:42.863Z] 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.
[2026-01-31T15:26:42.863Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:26:42.863Z] Top recommended movies for user id 72:
[2026-01-31T15:26:42.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:26:42.863Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:26:42.863Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:26:42.863Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:26:42.863Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:26:42.863Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22422.466 ms) ======
[2026-01-31T15:26:42.863Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-31T15:26:42.863Z] GC before operation: completed in 147.867 ms, heap usage 195.112 MB -> 90.979 MB.
[2026-01-31T15:26:46.321Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:26:49.798Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:26:53.298Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:26:56.800Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:26:58.409Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:27:00.020Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:27:02.537Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:27:04.147Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:27:04.147Z] 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.
[2026-01-31T15:27:04.147Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:27:04.936Z] Top recommended movies for user id 72:
[2026-01-31T15:27:04.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:27:04.936Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:27:04.936Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:27:04.936Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:27:04.936Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:27:04.936Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21482.427 ms) ======
[2026-01-31T15:27:04.936Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-31T15:27:04.936Z] GC before operation: completed in 136.864 ms, heap usage 299.002 MB -> 91.253 MB.
[2026-01-31T15:27:08.418Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-31T15:27:10.914Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-31T15:27:15.428Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-31T15:27:18.908Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-31T15:27:20.522Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-31T15:27:22.140Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-31T15:27:24.665Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-31T15:27:26.285Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-31T15:27:26.285Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-31T15:27:26.285Z] The best model improves the baseline by 14.43%.
[2026-01-31T15:27:27.065Z] Top recommended movies for user id 72:
[2026-01-31T15:27:27.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-31T15:27:27.065Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-31T15:27:27.065Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-31T15:27:27.065Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-31T15:27:27.065Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-31T15:27:27.065Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22011.607 ms) ======
[2026-01-31T15:27:27.065Z] -----------------------------------
[2026-01-31T15:27:27.065Z] renaissance-movie-lens_0_PASSED
[2026-01-31T15:27:27.065Z] -----------------------------------
[2026-01-31T15:27:27.065Z]
[2026-01-31T15:27:27.065Z] TEST TEARDOWN:
[2026-01-31T15:27:27.065Z] Nothing to be done for teardown.
[2026-01-31T15:27:27.065Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 15:27:26 2026 Epoch Time (ms): 1769873246841