renaissance-movie-lens_0
[2025-12-20T21:15:01.342Z] Running test renaissance-movie-lens_0 ...
[2025-12-20T21:15:01.342Z] ===============================================
[2025-12-20T21:15:01.342Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 21:15:00 2025 Epoch Time (ms): 1766265300460
[2025-12-20T21:15:01.342Z] variation: NoOptions
[2025-12-20T21:15:01.342Z] JVM_OPTIONS:
[2025-12-20T21:15:01.342Z] { \
[2025-12-20T21:15:01.342Z] echo ""; echo "TEST SETUP:"; \
[2025-12-20T21:15:01.342Z] echo "Nothing to be done for setup."; \
[2025-12-20T21:15:01.342Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17662635502831/renaissance-movie-lens_0"; \
[2025-12-20T21:15:01.342Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17662635502831/renaissance-movie-lens_0"; \
[2025-12-20T21:15:01.342Z] echo ""; echo "TESTING:"; \
[2025-12-20T21:15:01.342Z] "/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_17662635502831/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-20T21:15:01.342Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17662635502831/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-20T21:15:01.342Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-20T21:15:01.342Z] echo "Nothing to be done for teardown."; \
[2025-12-20T21:15:01.342Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17662635502831/TestTargetResult";
[2025-12-20T21:15:01.342Z]
[2025-12-20T21:15:01.342Z] TEST SETUP:
[2025-12-20T21:15:01.342Z] Nothing to be done for setup.
[2025-12-20T21:15:01.342Z]
[2025-12-20T21:15:01.342Z] TESTING:
[2025-12-20T21:15:02.121Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-20T21:15:02.121Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17662635502831/renaissance-movie-lens_0/launcher-211500-14248960203713564103/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-20T21:15:02.121Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-20T21:15:02.121Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-20T21:15:24.277Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-12-20T21:15:34.260Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-20T21:15:35.041Z] Training: 60056, validation: 20285, test: 19854
[2025-12-20T21:15:35.041Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-20T21:15:35.041Z] GC before operation: completed in 142.575 ms, heap usage 508.505 MB -> 75.289 MB.
[2025-12-20T21:15:40.720Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:15:44.188Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:15:48.892Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:15:52.350Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:15:54.132Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:15:55.740Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:15:58.246Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:16:00.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:16:00.819Z] 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.
[2025-12-20T21:16:00.819Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:16:01.602Z] Top recommended movies for user id 72:
[2025-12-20T21:16:01.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:16:01.602Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:16:01.602Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:16:01.602Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:16:01.602Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:16:01.602Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26275.485 ms) ======
[2025-12-20T21:16:01.602Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-20T21:16:01.602Z] GC before operation: completed in 151.042 ms, heap usage 365.632 MB -> 86.889 MB.
[2025-12-20T21:16:05.076Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:16:08.538Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:16:13.042Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:16:16.501Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:16:18.113Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:16:19.732Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:16:24.253Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:16:26.767Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:16:26.767Z] 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.
[2025-12-20T21:16:26.767Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:16:26.767Z] Top recommended movies for user id 72:
[2025-12-20T21:16:26.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:16:26.767Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:16:26.767Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:16:26.767Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:16:26.767Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:16:26.767Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25357.596 ms) ======
[2025-12-20T21:16:26.767Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-20T21:16:26.767Z] GC before operation: completed in 145.743 ms, heap usage 110.181 MB -> 89.410 MB.
[2025-12-20T21:16:30.219Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:16:33.671Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:16:37.143Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:16:40.601Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:16:43.114Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:16:44.739Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:16:47.241Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:16:48.854Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:16:48.854Z] 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.
[2025-12-20T21:16:48.854Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:16:49.633Z] Top recommended movies for user id 72:
[2025-12-20T21:16:49.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:16:49.633Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:16:49.633Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:16:49.633Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:16:49.633Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:16:49.633Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22366.671 ms) ======
[2025-12-20T21:16:49.633Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-20T21:16:49.633Z] GC before operation: completed in 145.118 ms, heap usage 309.355 MB -> 90.552 MB.
[2025-12-20T21:16:52.139Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:16:55.974Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:16:59.451Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:17:02.921Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:17:04.532Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:17:06.144Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:17:08.649Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:17:10.273Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:17:10.273Z] 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.
[2025-12-20T21:17:10.273Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:17:11.054Z] Top recommended movies for user id 72:
[2025-12-20T21:17:11.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:17:11.054Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:17:11.054Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:17:11.054Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:17:11.054Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:17:11.054Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21269.566 ms) ======
[2025-12-20T21:17:11.054Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-20T21:17:11.054Z] GC before operation: completed in 150.703 ms, heap usage 287.945 MB -> 90.835 MB.
[2025-12-20T21:17:14.543Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:17:17.043Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:17:21.560Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:17:24.060Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:17:26.577Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:17:28.188Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:17:30.714Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:17:32.323Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:17:33.104Z] 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.
[2025-12-20T21:17:33.105Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:17:33.105Z] Top recommended movies for user id 72:
[2025-12-20T21:17:33.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:17:33.105Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:17:33.105Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:17:33.105Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:17:33.105Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:17:33.105Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22004.069 ms) ======
[2025-12-20T21:17:33.105Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-20T21:17:33.105Z] GC before operation: completed in 146.384 ms, heap usage 317.650 MB -> 90.778 MB.
[2025-12-20T21:17:36.583Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:17:39.085Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:17:43.600Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:17:47.071Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:17:48.687Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:17:50.317Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:17:52.818Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:17:54.454Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:17:55.233Z] 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.
[2025-12-20T21:17:55.233Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:17:55.233Z] Top recommended movies for user id 72:
[2025-12-20T21:17:55.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:17:55.233Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:17:55.233Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:17:55.233Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:17:55.233Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:17:55.233Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22130.198 ms) ======
[2025-12-20T21:17:55.233Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-20T21:17:55.233Z] GC before operation: completed in 155.673 ms, heap usage 322.573 MB -> 90.946 MB.
[2025-12-20T21:17:58.749Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:18:02.246Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:18:05.717Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:18:08.213Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:18:09.827Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:18:11.441Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:18:13.942Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:18:15.551Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:18:15.551Z] 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.
[2025-12-20T21:18:15.551Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:18:16.335Z] Top recommended movies for user id 72:
[2025-12-20T21:18:16.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:18:16.335Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:18:16.335Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:18:16.335Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:18:16.335Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:18:16.335Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20665.028 ms) ======
[2025-12-20T21:18:16.335Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-20T21:18:16.335Z] GC before operation: completed in 147.381 ms, heap usage 981.701 MB -> 95.074 MB.
[2025-12-20T21:18:18.835Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:18:22.307Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:18:25.784Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:18:29.259Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:18:30.870Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:18:33.373Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:18:35.870Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:18:37.501Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:18:37.501Z] 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.
[2025-12-20T21:18:37.501Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:18:38.292Z] Top recommended movies for user id 72:
[2025-12-20T21:18:38.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:18:38.292Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:18:38.292Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:18:38.292Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:18:38.292Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:18:38.292Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21827.228 ms) ======
[2025-12-20T21:18:38.292Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-20T21:18:38.292Z] GC before operation: completed in 147.726 ms, heap usage 170.983 MB -> 90.981 MB.
[2025-12-20T21:18:40.791Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:18:44.274Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:18:47.741Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:18:51.214Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:18:52.827Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:18:54.436Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:18:56.960Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:18:58.576Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:18:59.371Z] 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.
[2025-12-20T21:18:59.371Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:18:59.371Z] Top recommended movies for user id 72:
[2025-12-20T21:18:59.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:18:59.371Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:18:59.371Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:18:59.371Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:18:59.371Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:18:59.371Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21046.860 ms) ======
[2025-12-20T21:18:59.371Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-20T21:18:59.371Z] GC before operation: completed in 148.365 ms, heap usage 324.712 MB -> 91.337 MB.
[2025-12-20T21:19:01.899Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:19:05.364Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:19:08.823Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:19:11.387Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:19:13.889Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:19:14.682Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:19:17.184Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:19:18.810Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:19:19.590Z] 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.
[2025-12-20T21:19:19.590Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:19:19.590Z] Top recommended movies for user id 72:
[2025-12-20T21:19:19.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:19:19.590Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:19:19.590Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:19:19.590Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:19:19.590Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:19:19.590Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20159.372 ms) ======
[2025-12-20T21:19:19.590Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-20T21:19:19.590Z] GC before operation: completed in 160.182 ms, heap usage 2.860 GB -> 97.838 MB.
[2025-12-20T21:19:23.063Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:19:25.568Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:19:30.123Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:19:32.642Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:19:35.158Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:19:36.768Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:19:39.293Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:19:40.912Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:19:40.912Z] 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.
[2025-12-20T21:19:40.912Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:19:40.912Z] Top recommended movies for user id 72:
[2025-12-20T21:19:40.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:19:40.912Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:19:40.912Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:19:40.912Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:19:40.912Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:19:40.912Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21448.341 ms) ======
[2025-12-20T21:19:40.912Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-20T21:19:41.690Z] GC before operation: completed in 142.059 ms, heap usage 328.348 MB -> 91.213 MB.
[2025-12-20T21:19:44.195Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:19:47.660Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:19:51.149Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:19:54.611Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:19:56.227Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:19:58.767Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:20:00.378Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:20:02.888Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:20:02.888Z] 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.
[2025-12-20T21:20:02.888Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:20:02.888Z] Top recommended movies for user id 72:
[2025-12-20T21:20:02.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:20:02.888Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:20:02.888Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:20:02.888Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:20:02.888Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:20:02.888Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21677.408 ms) ======
[2025-12-20T21:20:02.888Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-20T21:20:02.888Z] GC before operation: completed in 152.667 ms, heap usage 224.262 MB -> 91.251 MB.
[2025-12-20T21:20:06.352Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:20:09.830Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:20:13.302Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:20:16.763Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:20:18.386Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:20:20.002Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:20:22.497Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:20:24.115Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:20:24.892Z] 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.
[2025-12-20T21:20:24.892Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:20:24.892Z] Top recommended movies for user id 72:
[2025-12-20T21:20:24.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:20:24.892Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:20:24.892Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:20:24.892Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:20:24.892Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:20:24.892Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21753.056 ms) ======
[2025-12-20T21:20:24.892Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-20T21:20:24.892Z] GC before operation: completed in 146.831 ms, heap usage 111.697 MB -> 91.443 MB.
[2025-12-20T21:20:28.346Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:20:31.805Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:20:35.267Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:20:40.307Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:20:40.307Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:20:43.881Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:20:48.381Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:20:48.381Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:20:48.381Z] 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.
[2025-12-20T21:20:48.381Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:20:48.381Z] Top recommended movies for user id 72:
[2025-12-20T21:20:48.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:20:48.381Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:20:48.381Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:20:48.381Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:20:48.381Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:20:48.381Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21638.285 ms) ======
[2025-12-20T21:20:48.381Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-20T21:20:48.381Z] GC before operation: completed in 144.801 ms, heap usage 108.390 MB -> 91.202 MB.
[2025-12-20T21:20:50.572Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:20:52.263Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:20:55.752Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:21:00.228Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:21:01.053Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:21:01.881Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:21:04.512Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:21:07.077Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:21:07.077Z] 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.
[2025-12-20T21:21:07.077Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:21:07.077Z] Top recommended movies for user id 72:
[2025-12-20T21:21:07.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:21:07.077Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:21:07.077Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:21:07.077Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:21:07.077Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:21:07.077Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19856.058 ms) ======
[2025-12-20T21:21:07.077Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-20T21:21:07.077Z] GC before operation: completed in 151.174 ms, heap usage 366.336 MB -> 91.534 MB.
[2025-12-20T21:21:09.755Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:21:14.135Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:21:16.819Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:21:21.989Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:21:22.830Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:21:23.667Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:21:26.349Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:21:30.985Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:21:30.985Z] 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.
[2025-12-20T21:21:30.985Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:21:30.985Z] Top recommended movies for user id 72:
[2025-12-20T21:21:30.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:21:30.985Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:21:30.985Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:21:30.985Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:21:30.985Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:21:30.985Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21356.701 ms) ======
[2025-12-20T21:21:30.985Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-20T21:21:30.985Z] GC before operation: completed in 151.171 ms, heap usage 585.363 MB -> 91.579 MB.
[2025-12-20T21:21:31.822Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:21:35.643Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:21:38.153Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:21:41.620Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:21:43.230Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:21:44.854Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:21:47.379Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:21:49.005Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:21:49.005Z] 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.
[2025-12-20T21:21:49.005Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:21:49.785Z] Top recommended movies for user id 72:
[2025-12-20T21:21:49.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:21:49.785Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:21:49.785Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:21:49.785Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:21:49.785Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:21:49.785Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21230.438 ms) ======
[2025-12-20T21:21:49.785Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-20T21:21:49.785Z] GC before operation: completed in 149.923 ms, heap usage 191.256 MB -> 91.291 MB.
[2025-12-20T21:21:59.121Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:21:59.121Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:22:00.958Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:22:02.579Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:22:05.085Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:22:06.695Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:22:09.241Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:22:10.861Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:22:10.861Z] 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.
[2025-12-20T21:22:10.861Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:22:10.861Z] Top recommended movies for user id 72:
[2025-12-20T21:22:10.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:22:10.861Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:22:10.861Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:22:10.861Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:22:10.861Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:22:10.861Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21383.833 ms) ======
[2025-12-20T21:22:10.861Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-20T21:22:11.647Z] GC before operation: completed in 150.969 ms, heap usage 299.699 MB -> 91.254 MB.
[2025-12-20T21:22:14.243Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:22:17.728Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:22:21.198Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:22:24.674Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:22:26.292Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:22:27.913Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:22:30.431Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:22:32.088Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:22:32.868Z] 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.
[2025-12-20T21:22:32.868Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:22:32.868Z] Top recommended movies for user id 72:
[2025-12-20T21:22:32.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:22:32.868Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:22:32.868Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:22:32.868Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:22:32.868Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:22:32.868Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21495.612 ms) ======
[2025-12-20T21:22:32.868Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-20T21:22:32.868Z] GC before operation: completed in 155.972 ms, heap usage 318.445 MB -> 91.554 MB.
[2025-12-20T21:22:36.345Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T21:22:38.850Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T21:22:44.532Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T21:22:48.012Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T21:22:49.628Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T21:22:51.237Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T21:22:52.851Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T21:22:54.463Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T21:22:55.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-20T21:22:55.244Z] The best model improves the baseline by 14.43%.
[2025-12-20T21:22:55.244Z] Top recommended movies for user id 72:
[2025-12-20T21:22:55.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-20T21:22:55.244Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-20T21:22:55.244Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-20T21:22:55.244Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-20T21:22:55.244Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-20T21:22:55.244Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22292.459 ms) ======
[2025-12-20T21:22:56.025Z] -----------------------------------
[2025-12-20T21:22:56.025Z] renaissance-movie-lens_0_PASSED
[2025-12-20T21:22:56.025Z] -----------------------------------
[2025-12-20T21:22:56.025Z]
[2025-12-20T21:22:56.025Z] TEST TEARDOWN:
[2025-12-20T21:22:56.025Z] Nothing to be done for teardown.
[2025-12-20T21:22:56.025Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 21:22:55 2025 Epoch Time (ms): 1766265775307