renaissance-movie-lens_0
[2025-11-01T14:47:11.252Z] Running test renaissance-movie-lens_0 ...
[2025-11-01T14:47:11.252Z] ===============================================
[2025-11-01T14:47:11.252Z] renaissance-movie-lens_0 Start Time: Sat Nov 1 14:47:10 2025 Epoch Time (ms): 1762008430704
[2025-11-01T14:47:11.252Z] variation: NoOptions
[2025-11-01T14:47:11.252Z] JVM_OPTIONS:
[2025-11-01T14:47:11.252Z] { \
[2025-11-01T14:47:11.252Z] echo ""; echo "TEST SETUP:"; \
[2025-11-01T14:47:11.252Z] echo "Nothing to be done for setup."; \
[2025-11-01T14:47:11.252Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17620063698095/renaissance-movie-lens_0"; \
[2025-11-01T14:47:11.252Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17620063698095/renaissance-movie-lens_0"; \
[2025-11-01T14:47:11.252Z] echo ""; echo "TESTING:"; \
[2025-11-01T14:47:11.252Z] "/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_17620063698095/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-01T14:47:11.252Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17620063698095/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-01T14:47:11.252Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-01T14:47:11.253Z] echo "Nothing to be done for teardown."; \
[2025-11-01T14:47:11.253Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17620063698095/TestTargetResult";
[2025-11-01T14:47:11.253Z]
[2025-11-01T14:47:11.253Z] TEST SETUP:
[2025-11-01T14:47:11.253Z] Nothing to be done for setup.
[2025-11-01T14:47:11.253Z]
[2025-11-01T14:47:11.253Z] TESTING:
[2025-11-01T14:47:12.856Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-11-01T14:47:12.856Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17620063698095/renaissance-movie-lens_0/launcher-144711-5605949952409637334/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-11-01T14:47:12.856Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-11-01T14:47:12.856Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-11-01T14:47:48.524Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-11-01T14:47:57.153Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-01T14:47:57.935Z] Training: 60056, validation: 20285, test: 19854
[2025-11-01T14:47:57.935Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-01T14:47:57.935Z] GC before operation: completed in 138.519 ms, heap usage 503.788 MB -> 75.219 MB.
[2025-11-01T14:48:03.582Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:48:08.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:48:11.530Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:48:16.060Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:48:17.682Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:48:20.167Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:48:22.684Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:48:24.295Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:48:24.295Z] 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.
[2025-11-01T14:48:24.295Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:48:25.080Z] Top recommended movies for user id 72:
[2025-11-01T14:48:25.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:48:25.080Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:48:25.080Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:48:25.080Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:48:25.080Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:48:25.080Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26685.617 ms) ======
[2025-11-01T14:48:25.080Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-01T14:48:25.080Z] GC before operation: completed in 146.480 ms, heap usage 328.459 MB -> 86.675 MB.
[2025-11-01T14:48:28.551Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:48:32.128Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:48:36.644Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:48:40.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:48:41.788Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:48:44.297Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:48:46.973Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:48:48.747Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:48:49.522Z] 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.
[2025-11-01T14:48:49.522Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:48:49.522Z] Top recommended movies for user id 72:
[2025-11-01T14:48:49.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:48:49.522Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:48:49.522Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:48:49.522Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:48:49.522Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:48:49.522Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24609.684 ms) ======
[2025-11-01T14:48:49.522Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-01T14:48:49.522Z] GC before operation: completed in 164.889 ms, heap usage 294.540 MB -> 89.288 MB.
[2025-11-01T14:48:52.982Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:48:57.519Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:49:00.973Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:49:04.454Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:49:06.075Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:49:08.662Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:49:11.216Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:49:13.938Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:49:13.938Z] 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.
[2025-11-01T14:49:13.938Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:49:13.938Z] Top recommended movies for user id 72:
[2025-11-01T14:49:13.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:49:13.938Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:49:13.938Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:49:13.938Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:49:13.938Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:49:13.938Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23417.133 ms) ======
[2025-11-01T14:49:13.938Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-01T14:49:13.938Z] GC before operation: completed in 142.879 ms, heap usage 359.897 MB -> 90.211 MB.
[2025-11-01T14:49:16.497Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:49:19.964Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:49:24.490Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:49:27.002Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:49:28.629Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:49:30.382Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:49:32.877Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:49:35.401Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:49:35.401Z] 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.
[2025-11-01T14:49:35.401Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:49:35.401Z] Top recommended movies for user id 72:
[2025-11-01T14:49:35.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:49:35.401Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:49:35.401Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:49:35.401Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:49:35.401Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:49:35.401Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22059.940 ms) ======
[2025-11-01T14:49:35.401Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-01T14:49:35.401Z] GC before operation: completed in 156.754 ms, heap usage 475.784 MB -> 90.608 MB.
[2025-11-01T14:49:38.857Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:49:42.338Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:49:45.797Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:49:49.253Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:49:50.874Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:49:52.512Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:49:55.026Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:49:57.534Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:49:57.534Z] 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.
[2025-11-01T14:49:57.534Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:49:57.534Z] Top recommended movies for user id 72:
[2025-11-01T14:49:57.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:49:57.534Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:49:57.534Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:49:57.534Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:49:57.534Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:49:57.534Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22104.665 ms) ======
[2025-11-01T14:49:57.534Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-01T14:49:57.534Z] GC before operation: completed in 144.719 ms, heap usage 364.757 MB -> 90.437 MB.
[2025-11-01T14:50:00.985Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:50:03.874Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:50:08.395Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:50:10.897Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:50:13.404Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:50:15.031Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:50:17.535Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:50:20.028Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:50:20.028Z] 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.
[2025-11-01T14:50:20.028Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:50:20.028Z] Top recommended movies for user id 72:
[2025-11-01T14:50:20.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:50:20.028Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:50:20.028Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:50:20.028Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:50:20.028Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:50:20.028Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22288.972 ms) ======
[2025-11-01T14:50:20.028Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-01T14:50:20.028Z] GC before operation: completed in 148.677 ms, heap usage 111.032 MB -> 90.684 MB.
[2025-11-01T14:50:23.493Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:50:26.949Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:50:31.557Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:50:35.017Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:50:36.634Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:50:38.242Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:50:40.763Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:50:43.255Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:50:43.255Z] 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.
[2025-11-01T14:50:43.255Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:50:43.255Z] Top recommended movies for user id 72:
[2025-11-01T14:50:43.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:50:43.255Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:50:43.255Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:50:43.255Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:50:43.255Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:50:43.255Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23262.648 ms) ======
[2025-11-01T14:50:43.255Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-01T14:50:44.032Z] GC before operation: completed in 149.896 ms, heap usage 223.142 MB -> 90.550 MB.
[2025-11-01T14:50:47.493Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:50:50.000Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:50:54.502Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:50:57.956Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:51:00.460Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:51:02.069Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:51:04.558Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:51:07.056Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:51:07.056Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-01T14:51:07.056Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:51:07.056Z] Top recommended movies for user id 72:
[2025-11-01T14:51:07.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:51:07.056Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:51:07.056Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:51:07.056Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:51:07.056Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:51:07.056Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23434.873 ms) ======
[2025-11-01T14:51:07.056Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-01T14:51:07.056Z] GC before operation: completed in 155.101 ms, heap usage 319.650 MB -> 90.897 MB.
[2025-11-01T14:51:10.523Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:51:13.969Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:51:17.437Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:51:20.913Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:51:22.519Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:51:24.125Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:51:26.665Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:51:29.169Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:51:29.169Z] 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.
[2025-11-01T14:51:29.170Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:51:29.170Z] Top recommended movies for user id 72:
[2025-11-01T14:51:29.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:51:29.170Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:51:29.170Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:51:29.170Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:51:29.170Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:51:29.170Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21938.662 ms) ======
[2025-11-01T14:51:29.170Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-01T14:51:29.170Z] GC before operation: completed in 157.744 ms, heap usage 253.880 MB -> 90.674 MB.
[2025-11-01T14:51:32.646Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:51:35.223Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:51:39.721Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:51:42.226Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:51:43.853Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:51:45.473Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:51:47.984Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:51:49.606Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:51:50.386Z] 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.
[2025-11-01T14:51:50.386Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:51:50.386Z] Top recommended movies for user id 72:
[2025-11-01T14:51:50.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:51:50.386Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:51:50.386Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:51:50.386Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:51:50.386Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:51:50.386Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21034.472 ms) ======
[2025-11-01T14:51:50.386Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-01T14:51:50.386Z] GC before operation: completed in 162.123 ms, heap usage 1.006 GB -> 94.938 MB.
[2025-11-01T14:51:53.856Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:51:56.379Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:52:00.930Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:52:03.446Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:52:05.062Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:52:07.583Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:52:09.230Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:52:10.870Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:52:11.662Z] 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.
[2025-11-01T14:52:11.662Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:52:11.662Z] Top recommended movies for user id 72:
[2025-11-01T14:52:11.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:52:11.662Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:52:11.662Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:52:11.662Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:52:11.662Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:52:11.662Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21050.594 ms) ======
[2025-11-01T14:52:11.662Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-01T14:52:11.662Z] GC before operation: completed in 146.757 ms, heap usage 227.244 MB -> 90.559 MB.
[2025-11-01T14:52:15.160Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:52:18.668Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:52:22.154Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:52:25.642Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:52:27.260Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:52:29.768Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:52:31.388Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:52:33.904Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:52:33.904Z] 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.
[2025-11-01T14:52:33.904Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:52:33.904Z] Top recommended movies for user id 72:
[2025-11-01T14:52:33.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:52:33.904Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:52:33.904Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:52:33.904Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:52:33.904Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:52:33.904Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22318.819 ms) ======
[2025-11-01T14:52:33.904Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-01T14:52:33.904Z] GC before operation: completed in 131.482 ms, heap usage 318.738 MB -> 90.950 MB.
[2025-11-01T14:52:37.396Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:52:40.873Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:52:44.367Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:52:47.836Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:52:49.459Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:52:51.976Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:52:53.772Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:52:56.287Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:52:56.287Z] 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.
[2025-11-01T14:52:56.287Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:52:56.287Z] Top recommended movies for user id 72:
[2025-11-01T14:52:56.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:52:56.287Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:52:56.287Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:52:56.287Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:52:56.287Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:52:56.287Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22208.824 ms) ======
[2025-11-01T14:52:56.287Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-01T14:52:56.287Z] GC before operation: completed in 124.122 ms, heap usage 774.361 MB -> 94.741 MB.
[2025-11-01T14:52:59.751Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:53:02.261Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:53:06.781Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:53:10.275Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:53:12.780Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:53:14.395Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:53:16.902Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:53:18.517Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:53:19.306Z] 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.
[2025-11-01T14:53:19.306Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:53:19.306Z] Top recommended movies for user id 72:
[2025-11-01T14:53:19.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:53:19.306Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:53:19.306Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:53:19.306Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:53:19.306Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:53:19.306Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22568.871 ms) ======
[2025-11-01T14:53:19.306Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-01T14:53:19.306Z] GC before operation: completed in 121.840 ms, heap usage 338.893 MB -> 90.956 MB.
[2025-11-01T14:53:22.800Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:53:25.306Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:53:29.839Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:53:32.358Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:53:34.883Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:53:36.496Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:53:39.010Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:53:40.628Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:53:40.628Z] 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.
[2025-11-01T14:53:40.628Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:53:41.409Z] Top recommended movies for user id 72:
[2025-11-01T14:53:41.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:53:41.409Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:53:41.409Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:53:41.409Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:53:41.409Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:53:41.409Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21781.756 ms) ======
[2025-11-01T14:53:41.409Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-01T14:53:41.409Z] GC before operation: completed in 121.803 ms, heap usage 223.924 MB -> 91.015 MB.
[2025-11-01T14:53:44.911Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:53:47.432Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:53:51.971Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:53:55.456Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:53:57.070Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:53:59.600Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:54:02.115Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:54:04.649Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:54:04.649Z] 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.
[2025-11-01T14:54:04.649Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:54:04.649Z] Top recommended movies for user id 72:
[2025-11-01T14:54:04.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:54:04.649Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:54:04.649Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:54:04.649Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:54:04.649Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:54:04.649Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23524.730 ms) ======
[2025-11-01T14:54:04.649Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-01T14:54:04.649Z] GC before operation: completed in 131.430 ms, heap usage 108.921 MB -> 90.847 MB.
[2025-11-01T14:54:08.120Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:54:11.599Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:54:15.076Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:54:18.560Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:54:20.182Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:54:21.809Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:54:24.322Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:54:25.958Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:54:26.740Z] 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.
[2025-11-01T14:54:26.740Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:54:26.740Z] Top recommended movies for user id 72:
[2025-11-01T14:54:26.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:54:26.740Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:54:26.740Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:54:26.740Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:54:26.740Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:54:26.740Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22032.832 ms) ======
[2025-11-01T14:54:26.740Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-01T14:54:26.740Z] GC before operation: completed in 119.760 ms, heap usage 365.393 MB -> 91.128 MB.
[2025-11-01T14:54:30.347Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:54:32.863Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:54:37.408Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:54:40.899Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:54:42.514Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:54:44.135Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:54:46.648Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:54:48.272Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:54:49.056Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-01T14:54:49.056Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:54:49.056Z] Top recommended movies for user id 72:
[2025-11-01T14:54:49.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:54:49.056Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:54:49.056Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:54:49.056Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:54:49.056Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:54:49.056Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21993.873 ms) ======
[2025-11-01T14:54:49.056Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-01T14:54:49.056Z] GC before operation: completed in 137.871 ms, heap usage 132.817 MB -> 90.884 MB.
[2025-11-01T14:54:52.528Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:54:56.026Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:54:59.499Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:55:03.012Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:55:04.637Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:55:06.261Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:55:09.740Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:55:12.255Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:55:12.255Z] 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.
[2025-11-01T14:55:12.255Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:55:12.255Z] Top recommended movies for user id 72:
[2025-11-01T14:55:12.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:55:12.255Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:55:12.255Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:55:12.255Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:55:12.255Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:55:12.255Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23510.884 ms) ======
[2025-11-01T14:55:12.255Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-01T14:55:13.036Z] GC before operation: completed in 128.089 ms, heap usage 322.334 MB -> 90.867 MB.
[2025-11-01T14:55:15.550Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T14:55:19.025Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T14:55:22.509Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T14:55:25.993Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T14:55:27.609Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T14:55:29.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T14:55:31.889Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T14:55:33.506Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T14:55:33.506Z] 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.
[2025-11-01T14:55:33.506Z] The best model improves the baseline by 14.43%.
[2025-11-01T14:55:34.288Z] Top recommended movies for user id 72:
[2025-11-01T14:55:34.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-01T14:55:34.288Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-01T14:55:34.288Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-01T14:55:34.288Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-01T14:55:34.288Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-01T14:55:34.288Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21253.710 ms) ======
[2025-11-01T14:55:35.068Z] -----------------------------------
[2025-11-01T14:55:35.068Z] renaissance-movie-lens_0_PASSED
[2025-11-01T14:55:35.068Z] -----------------------------------
[2025-11-01T14:55:35.068Z]
[2025-11-01T14:55:35.068Z] TEST TEARDOWN:
[2025-11-01T14:55:35.068Z] Nothing to be done for teardown.
[2025-11-01T14:55:35.068Z] renaissance-movie-lens_0 Finish Time: Sat Nov 1 14:55:34 2025 Epoch Time (ms): 1762008934243