renaissance-movie-lens_0
[2025-12-16T10:39:48.845Z] Running test renaissance-movie-lens_0 ...
[2025-12-16T10:39:48.845Z] ===============================================
[2025-12-16T10:39:48.845Z] renaissance-movie-lens_0 Start Time: Tue Dec 16 10:39:48 2025 Epoch Time (ms): 1765881588237
[2025-12-16T10:39:48.845Z] variation: NoOptions
[2025-12-16T10:39:48.845Z] JVM_OPTIONS:
[2025-12-16T10:39:48.845Z] { \
[2025-12-16T10:39:48.845Z] echo ""; echo "TEST SETUP:"; \
[2025-12-16T10:39:48.845Z] echo "Nothing to be done for setup."; \
[2025-12-16T10:39:48.845Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17658785433690/renaissance-movie-lens_0"; \
[2025-12-16T10:39:48.845Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17658785433690/renaissance-movie-lens_0"; \
[2025-12-16T10:39:48.845Z] echo ""; echo "TESTING:"; \
[2025-12-16T10:39:48.845Z] "/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_17658785433690/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-16T10:39:48.845Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17658785433690/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-16T10:39:48.845Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-16T10:39:48.845Z] echo "Nothing to be done for teardown."; \
[2025-12-16T10:39:48.845Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17658785433690/TestTargetResult";
[2025-12-16T10:39:48.845Z]
[2025-12-16T10:39:48.845Z] TEST SETUP:
[2025-12-16T10:39:48.845Z] Nothing to be done for setup.
[2025-12-16T10:39:48.845Z]
[2025-12-16T10:39:48.845Z] TESTING:
[2025-12-16T10:39:50.462Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-16T10:39:50.462Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17658785433690/renaissance-movie-lens_0/launcher-103948-4906213864705542672/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-16T10:39:50.462Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-16T10:39:50.462Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-16T10:40:27.283Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-12-16T10:40:35.658Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-16T10:40:35.658Z] Training: 60056, validation: 20285, test: 19854
[2025-12-16T10:40:35.658Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-16T10:40:35.658Z] GC before operation: completed in 134.592 ms, heap usage 427.477 MB -> 75.475 MB.
[2025-12-16T10:40:41.318Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:40:44.785Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:40:50.481Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:40:53.955Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:40:55.579Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:40:58.098Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:41:00.596Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:41:03.094Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:41:03.094Z] 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.
[2025-12-16T10:41:03.094Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:41:03.876Z] Top recommended movies for user id 72:
[2025-12-16T10:41:03.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:41:03.876Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:41:03.876Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:41:03.876Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:41:03.876Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:41:03.876Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28291.574 ms) ======
[2025-12-16T10:41:03.876Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-16T10:41:03.876Z] GC before operation: completed in 197.521 ms, heap usage 272.495 MB -> 86.865 MB.
[2025-12-16T10:41:08.399Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:41:11.927Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:41:16.435Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:41:20.954Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:41:22.561Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:41:25.079Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:41:30.733Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:41:33.238Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:41:33.238Z] 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.
[2025-12-16T10:41:33.238Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:41:33.238Z] Top recommended movies for user id 72:
[2025-12-16T10:41:33.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:41:33.238Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:41:33.238Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:41:33.238Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:41:33.238Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:41:33.238Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (29799.681 ms) ======
[2025-12-16T10:41:33.238Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-16T10:41:34.017Z] GC before operation: completed in 137.114 ms, heap usage 227.581 MB -> 89.530 MB.
[2025-12-16T10:41:37.479Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:41:41.995Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:41:46.518Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:41:49.981Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:41:51.591Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:41:54.102Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:41:56.606Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:41:58.219Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:41:59.001Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-16T10:41:59.001Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:41:59.001Z] Top recommended movies for user id 72:
[2025-12-16T10:41:59.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:41:59.001Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:41:59.001Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:41:59.001Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:41:59.001Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:41:59.001Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25410.428 ms) ======
[2025-12-16T10:41:59.001Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-16T10:41:59.001Z] GC before operation: completed in 155.987 ms, heap usage 369.131 MB -> 90.635 MB.
[2025-12-16T10:42:02.460Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:42:05.924Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:42:10.905Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:42:13.471Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:42:15.992Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:42:17.603Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:42:20.101Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:42:22.601Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:42:22.602Z] 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.
[2025-12-16T10:42:22.602Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:42:22.602Z] Top recommended movies for user id 72:
[2025-12-16T10:42:22.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:42:22.602Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:42:22.602Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:42:22.602Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:42:22.602Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:42:22.602Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23517.546 ms) ======
[2025-12-16T10:42:22.602Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-16T10:42:23.383Z] GC before operation: completed in 159.759 ms, heap usage 351.097 MB -> 91.062 MB.
[2025-12-16T10:42:26.840Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:42:29.352Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:42:33.859Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:42:36.361Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:42:38.863Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:42:40.476Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:42:44.989Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:42:46.611Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:42:46.611Z] 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.
[2025-12-16T10:42:46.611Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:42:47.391Z] Top recommended movies for user id 72:
[2025-12-16T10:42:47.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:42:47.391Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:42:47.391Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:42:47.391Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:42:47.391Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:42:47.391Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24065.492 ms) ======
[2025-12-16T10:42:47.391Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-16T10:42:47.391Z] GC before operation: completed in 177.160 ms, heap usage 653.563 MB -> 91.187 MB.
[2025-12-16T10:42:50.862Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:42:53.370Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:42:57.894Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:43:01.359Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:43:03.879Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:43:05.555Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:43:08.052Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:43:09.681Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:43:10.461Z] 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.
[2025-12-16T10:43:10.461Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:43:10.461Z] Top recommended movies for user id 72:
[2025-12-16T10:43:10.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:43:10.461Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:43:10.461Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:43:10.461Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:43:10.461Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:43:10.461Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23366.725 ms) ======
[2025-12-16T10:43:10.461Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-16T10:43:10.461Z] GC before operation: completed in 144.453 ms, heap usage 373.162 MB -> 91.330 MB.
[2025-12-16T10:43:13.953Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:43:17.423Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:43:21.938Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:43:24.439Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:43:26.051Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:43:27.659Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:43:30.165Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:43:31.790Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:43:32.597Z] 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.
[2025-12-16T10:43:32.597Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:43:32.597Z] Top recommended movies for user id 72:
[2025-12-16T10:43:32.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:43:32.597Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:43:32.597Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:43:32.597Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:43:32.597Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:43:32.597Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21656.312 ms) ======
[2025-12-16T10:43:32.597Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-16T10:43:32.597Z] GC before operation: completed in 173.583 ms, heap usage 1.853 GB -> 97.275 MB.
[2025-12-16T10:43:36.067Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:43:39.531Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:43:43.037Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:43:46.512Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:43:48.358Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:43:50.266Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:43:52.769Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:43:54.400Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:43:54.400Z] 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.
[2025-12-16T10:43:54.400Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:43:55.181Z] Top recommended movies for user id 72:
[2025-12-16T10:43:55.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:43:55.181Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:43:55.181Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:43:55.181Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:43:55.181Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:43:55.181Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22248.774 ms) ======
[2025-12-16T10:43:55.181Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-16T10:43:55.181Z] GC before operation: completed in 152.194 ms, heap usage 2.543 GB -> 97.665 MB.
[2025-12-16T10:43:57.688Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:44:01.152Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:44:05.682Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:44:08.201Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:44:10.716Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:44:12.326Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:44:14.830Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:44:17.348Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:44:17.348Z] 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.
[2025-12-16T10:44:17.348Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:44:17.348Z] Top recommended movies for user id 72:
[2025-12-16T10:44:17.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:44:17.348Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:44:17.348Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:44:17.348Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:44:17.348Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:44:17.348Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22479.102 ms) ======
[2025-12-16T10:44:17.348Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-16T10:44:17.348Z] GC before operation: completed in 192.482 ms, heap usage 2.666 GB -> 97.542 MB.
[2025-12-16T10:44:20.818Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:44:24.470Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:44:27.927Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:44:31.389Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:44:33.891Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:44:35.508Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:44:38.012Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:44:39.642Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:44:40.424Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-16T10:44:40.424Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:44:40.424Z] Top recommended movies for user id 72:
[2025-12-16T10:44:40.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:44:40.424Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:44:40.424Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:44:40.424Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:44:40.424Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:44:40.424Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22791.225 ms) ======
[2025-12-16T10:44:40.424Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-16T10:44:40.424Z] GC before operation: completed in 145.170 ms, heap usage 317.278 MB -> 91.501 MB.
[2025-12-16T10:44:43.889Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:44:48.402Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:44:52.919Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:44:56.381Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:44:58.884Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:45:00.491Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:45:02.992Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:45:05.523Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:45:05.523Z] 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.
[2025-12-16T10:45:05.523Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:45:05.523Z] Top recommended movies for user id 72:
[2025-12-16T10:45:05.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:45:05.523Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:45:05.523Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:45:05.523Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:45:05.523Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:45:05.523Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24974.234 ms) ======
[2025-12-16T10:45:05.523Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-16T10:45:05.523Z] GC before operation: completed in 132.730 ms, heap usage 113.339 MB -> 90.998 MB.
[2025-12-16T10:45:08.649Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:45:12.114Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:45:15.582Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:45:19.044Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:45:20.659Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:45:23.171Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:45:24.789Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:45:27.291Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:45:27.291Z] 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.
[2025-12-16T10:45:27.291Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:45:27.291Z] Top recommended movies for user id 72:
[2025-12-16T10:45:27.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:45:27.291Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:45:27.291Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:45:27.291Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:45:27.291Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:45:27.291Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21948.847 ms) ======
[2025-12-16T10:45:27.291Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-16T10:45:28.070Z] GC before operation: completed in 138.704 ms, heap usage 364.188 MB -> 91.463 MB.
[2025-12-16T10:45:31.545Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:45:34.057Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:45:38.570Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:45:42.037Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:45:43.652Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:45:46.157Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:45:48.687Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:45:50.309Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:45:51.094Z] 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.
[2025-12-16T10:45:51.094Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:45:51.094Z] Top recommended movies for user id 72:
[2025-12-16T10:45:51.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:45:51.094Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:45:51.094Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:45:51.094Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:45:51.094Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:45:51.094Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23318.153 ms) ======
[2025-12-16T10:45:51.094Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-16T10:45:51.094Z] GC before operation: completed in 148.472 ms, heap usage 359.391 MB -> 91.788 MB.
[2025-12-16T10:45:54.562Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:45:58.039Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:46:02.550Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:46:05.053Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:46:07.555Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:46:09.170Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:46:11.692Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:46:14.259Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:46:14.259Z] 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.
[2025-12-16T10:46:14.259Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:46:14.259Z] Top recommended movies for user id 72:
[2025-12-16T10:46:14.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:46:14.259Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:46:14.259Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:46:14.259Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:46:14.259Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:46:14.259Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23078.307 ms) ======
[2025-12-16T10:46:14.259Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-16T10:46:14.259Z] GC before operation: completed in 183.019 ms, heap usage 1.324 GB -> 96.250 MB.
[2025-12-16T10:46:17.714Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:46:20.775Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:46:24.244Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:46:27.852Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:46:29.467Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:46:31.968Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:46:34.485Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:46:36.114Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:46:36.114Z] 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.
[2025-12-16T10:46:36.114Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:46:36.114Z] Top recommended movies for user id 72:
[2025-12-16T10:46:36.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:46:36.114Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:46:36.114Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:46:36.114Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:46:36.114Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:46:36.114Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21931.086 ms) ======
[2025-12-16T10:46:36.114Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-16T10:46:36.894Z] GC before operation: completed in 151.138 ms, heap usage 1.108 GB -> 95.940 MB.
[2025-12-16T10:46:40.387Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:46:43.857Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:46:48.383Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:46:50.882Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:46:53.397Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:46:55.007Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:46:59.555Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:47:01.170Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:47:01.171Z] 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.
[2025-12-16T10:47:01.949Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:47:01.949Z] Top recommended movies for user id 72:
[2025-12-16T10:47:01.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:47:01.949Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:47:01.949Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:47:01.949Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:47:01.949Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:47:01.949Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25136.180 ms) ======
[2025-12-16T10:47:01.949Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-16T10:47:01.949Z] GC before operation: completed in 131.190 ms, heap usage 363.826 MB -> 91.608 MB.
[2025-12-16T10:47:05.421Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:47:07.944Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:47:12.479Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:47:15.959Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:47:17.572Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:47:19.183Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:47:21.684Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:47:23.297Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:47:24.082Z] 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.
[2025-12-16T10:47:24.082Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:47:24.082Z] Top recommended movies for user id 72:
[2025-12-16T10:47:24.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:47:24.082Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:47:24.082Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:47:24.082Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:47:24.082Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:47:24.082Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22197.731 ms) ======
[2025-12-16T10:47:24.082Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-16T10:47:24.083Z] GC before operation: completed in 140.192 ms, heap usage 683.100 MB -> 95.403 MB.
[2025-12-16T10:47:27.546Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:47:30.044Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:47:34.852Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:47:37.369Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:47:38.982Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:47:41.508Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:47:43.118Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:47:44.739Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:47:45.530Z] 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.
[2025-12-16T10:47:45.530Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:47:45.530Z] Top recommended movies for user id 72:
[2025-12-16T10:47:45.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:47:45.530Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:47:45.530Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:47:45.530Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:47:45.530Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:47:45.530Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21222.112 ms) ======
[2025-12-16T10:47:45.530Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-16T10:47:45.530Z] GC before operation: completed in 158.690 ms, heap usage 560.316 MB -> 91.531 MB.
[2025-12-16T10:47:48.999Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:47:51.497Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:47:57.175Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:47:59.677Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:48:02.181Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:48:04.704Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:48:06.327Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:48:08.843Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:48:08.843Z] 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.
[2025-12-16T10:48:08.843Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:48:08.843Z] Top recommended movies for user id 72:
[2025-12-16T10:48:08.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:48:08.843Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:48:08.843Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:48:08.843Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:48:08.843Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:48:08.843Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23440.959 ms) ======
[2025-12-16T10:48:08.843Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-16T10:48:08.843Z] GC before operation: completed in 132.136 ms, heap usage 264.638 MB -> 91.389 MB.
[2025-12-16T10:48:12.312Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-16T10:48:15.785Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-16T10:48:19.282Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-16T10:48:22.756Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-16T10:48:24.369Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-16T10:48:26.884Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-16T10:48:28.500Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-16T10:48:31.019Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-16T10:48:31.019Z] 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.
[2025-12-16T10:48:31.019Z] The best model improves the baseline by 14.43%.
[2025-12-16T10:48:31.019Z] Top recommended movies for user id 72:
[2025-12-16T10:48:31.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-16T10:48:31.019Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-16T10:48:31.019Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-16T10:48:31.019Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-16T10:48:31.019Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-16T10:48:31.019Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21992.315 ms) ======
[2025-12-16T10:48:31.799Z] -----------------------------------
[2025-12-16T10:48:31.799Z] renaissance-movie-lens_0_PASSED
[2025-12-16T10:48:31.799Z] -----------------------------------
[2025-12-16T10:48:31.799Z]
[2025-12-16T10:48:31.799Z] TEST TEARDOWN:
[2025-12-16T10:48:31.799Z] Nothing to be done for teardown.
[2025-12-16T10:48:31.799Z] renaissance-movie-lens_0 Finish Time: Tue Dec 16 10:48:31 2025 Epoch Time (ms): 1765882111254