renaissance-movie-lens_0
[2025-12-13T14:04:10.168Z] Running test renaissance-movie-lens_0 ...
[2025-12-13T14:04:10.168Z] ===============================================
[2025-12-13T14:04:10.168Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 14:04:09 2025 Epoch Time (ms): 1765634649677
[2025-12-13T14:04:10.168Z] variation: NoOptions
[2025-12-13T14:04:10.168Z] JVM_OPTIONS:
[2025-12-13T14:04:10.168Z] { \
[2025-12-13T14:04:10.168Z] echo ""; echo "TEST SETUP:"; \
[2025-12-13T14:04:10.168Z] echo "Nothing to be done for setup."; \
[2025-12-13T14:04:10.168Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17656329078695/renaissance-movie-lens_0"; \
[2025-12-13T14:04:10.168Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17656329078695/renaissance-movie-lens_0"; \
[2025-12-13T14:04:10.168Z] echo ""; echo "TESTING:"; \
[2025-12-13T14:04:10.168Z] "/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_17656329078695/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-13T14:04:10.168Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17656329078695/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-13T14:04:10.168Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-13T14:04:10.168Z] echo "Nothing to be done for teardown."; \
[2025-12-13T14:04:10.168Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17656329078695/TestTargetResult";
[2025-12-13T14:04:10.168Z]
[2025-12-13T14:04:10.168Z] TEST SETUP:
[2025-12-13T14:04:10.168Z] Nothing to be done for setup.
[2025-12-13T14:04:10.168Z]
[2025-12-13T14:04:10.168Z] TESTING:
[2025-12-13T14:04:11.781Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-13T14:04:11.782Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17656329078695/renaissance-movie-lens_0/launcher-140410-7913317581406967742/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-13T14:04:11.782Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-13T14:04:11.782Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-13T14:04:37.726Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-12-13T14:04:46.129Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-13T14:04:46.129Z] Training: 60056, validation: 20285, test: 19854
[2025-12-13T14:04:46.129Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-13T14:04:46.129Z] GC before operation: completed in 140.808 ms, heap usage 554.930 MB -> 75.463 MB.
[2025-12-13T14:04:51.821Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:04:55.304Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:04:59.835Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:05:03.306Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:05:04.929Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:05:07.442Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:05:09.957Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:05:11.765Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:05:11.765Z] 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.
[2025-12-13T14:05:11.765Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:05:12.549Z] Top recommended movies for user id 72:
[2025-12-13T14:05:12.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:05:12.549Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:05:12.549Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:05:12.549Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:05:12.549Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:05:12.549Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25686.440 ms) ======
[2025-12-13T14:05:12.549Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-13T14:05:12.549Z] GC before operation: completed in 144.708 ms, heap usage 139.735 MB -> 86.707 MB.
[2025-12-13T14:05:16.032Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:05:18.545Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:05:22.227Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:05:25.701Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:05:28.216Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:05:29.843Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:05:32.359Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:05:33.981Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:05:34.766Z] 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.
[2025-12-13T14:05:34.766Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:05:34.766Z] Top recommended movies for user id 72:
[2025-12-13T14:05:34.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:05:34.766Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:05:34.766Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:05:34.766Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:05:34.766Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:05:34.766Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22543.888 ms) ======
[2025-12-13T14:05:34.766Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-13T14:05:34.766Z] GC before operation: completed in 131.386 ms, heap usage 271.521 MB -> 89.635 MB.
[2025-12-13T14:05:38.247Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:05:41.727Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:05:46.259Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:05:48.777Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:05:51.300Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:05:52.927Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:05:56.418Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:05:58.935Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:05:58.935Z] 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.
[2025-12-13T14:05:58.935Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:05:58.935Z] Top recommended movies for user id 72:
[2025-12-13T14:05:58.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:05:58.935Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:05:58.935Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:05:58.935Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:05:58.935Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:05:58.935Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24040.069 ms) ======
[2025-12-13T14:05:58.935Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-13T14:05:58.935Z] GC before operation: completed in 161.001 ms, heap usage 2.377 GB -> 96.798 MB.
[2025-12-13T14:06:02.425Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:06:04.945Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:06:08.424Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:06:11.917Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:06:13.539Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:06:15.188Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:06:17.705Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:06:19.320Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:06:19.320Z] 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.
[2025-12-13T14:06:19.320Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:06:19.320Z] Top recommended movies for user id 72:
[2025-12-13T14:06:19.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:06:19.320Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:06:19.320Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:06:19.320Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:06:19.320Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:06:19.320Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20439.450 ms) ======
[2025-12-13T14:06:19.320Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-13T14:06:20.103Z] GC before operation: completed in 125.238 ms, heap usage 308.124 MB -> 90.686 MB.
[2025-12-13T14:06:22.639Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:06:26.130Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:06:29.625Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:06:33.499Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:06:35.124Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:06:36.745Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:06:39.258Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:06:41.795Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:06:41.795Z] 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.
[2025-12-13T14:06:41.795Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:06:41.795Z] Top recommended movies for user id 72:
[2025-12-13T14:06:41.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:06:41.795Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:06:41.795Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:06:41.795Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:06:41.795Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:06:41.795Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22138.272 ms) ======
[2025-12-13T14:06:41.795Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-13T14:06:41.795Z] GC before operation: completed in 115.585 ms, heap usage 365.515 MB -> 90.902 MB.
[2025-12-13T14:06:45.285Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:06:48.757Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:06:52.242Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:06:55.756Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:06:57.386Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:06:59.914Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:07:01.531Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:07:04.061Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:07:04.061Z] 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.
[2025-12-13T14:07:04.061Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:07:04.061Z] Top recommended movies for user id 72:
[2025-12-13T14:07:04.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:07:04.061Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:07:04.061Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:07:04.061Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:07:04.061Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:07:04.061Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22196.343 ms) ======
[2025-12-13T14:07:04.061Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-13T14:07:04.061Z] GC before operation: completed in 120.766 ms, heap usage 371.701 MB -> 91.352 MB.
[2025-12-13T14:07:07.532Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:07:10.048Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:07:14.577Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:07:17.095Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:07:18.770Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:07:20.388Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:07:22.004Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:07:23.622Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:07:24.406Z] 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.
[2025-12-13T14:07:24.406Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:07:24.406Z] Top recommended movies for user id 72:
[2025-12-13T14:07:24.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:07:24.406Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:07:24.406Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:07:24.406Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:07:24.406Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:07:24.406Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19951.968 ms) ======
[2025-12-13T14:07:24.406Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-13T14:07:24.406Z] GC before operation: completed in 133.552 ms, heap usage 1.197 GB -> 95.974 MB.
[2025-12-13T14:07:26.915Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:07:30.409Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:07:33.918Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:07:36.434Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:07:38.059Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:07:39.722Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:07:41.735Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:07:43.357Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:07:43.357Z] 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.
[2025-12-13T14:07:44.140Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:07:44.140Z] Top recommended movies for user id 72:
[2025-12-13T14:07:44.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:07:44.140Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:07:44.140Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:07:44.140Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:07:44.140Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:07:44.140Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19482.816 ms) ======
[2025-12-13T14:07:44.140Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-13T14:07:44.140Z] GC before operation: completed in 130.652 ms, heap usage 1.856 GB -> 97.319 MB.
[2025-12-13T14:07:46.644Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:07:50.166Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:07:53.666Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:07:57.182Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:07:58.803Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:08:00.418Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:08:03.982Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:08:05.605Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:08:05.605Z] 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.
[2025-12-13T14:08:05.605Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:08:05.605Z] Top recommended movies for user id 72:
[2025-12-13T14:08:05.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:08:05.605Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:08:05.605Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:08:05.605Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:08:05.605Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:08:05.605Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21874.014 ms) ======
[2025-12-13T14:08:05.605Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-13T14:08:06.391Z] GC before operation: completed in 119.854 ms, heap usage 320.691 MB -> 91.166 MB.
[2025-12-13T14:08:08.912Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:08:12.410Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:08:15.949Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:08:19.440Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:08:21.072Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:08:22.693Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:08:25.204Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:08:26.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:08:27.606Z] 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.
[2025-12-13T14:08:27.606Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:08:27.606Z] Top recommended movies for user id 72:
[2025-12-13T14:08:27.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:08:27.606Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:08:27.606Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:08:27.606Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:08:27.606Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:08:27.606Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21701.854 ms) ======
[2025-12-13T14:08:27.606Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-13T14:08:27.606Z] GC before operation: completed in 117.502 ms, heap usage 317.212 MB -> 91.255 MB.
[2025-12-13T14:08:31.073Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:08:34.554Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:08:38.045Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:08:40.558Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:08:43.081Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:08:44.716Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:08:47.242Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:08:48.855Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:08:48.855Z] 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.
[2025-12-13T14:08:48.855Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:08:48.855Z] Top recommended movies for user id 72:
[2025-12-13T14:08:48.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:08:48.855Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:08:48.855Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:08:48.855Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:08:48.855Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:08:48.855Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21136.426 ms) ======
[2025-12-13T14:08:48.855Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-13T14:08:48.855Z] GC before operation: completed in 126.711 ms, heap usage 1.278 GB -> 95.837 MB.
[2025-12-13T14:08:51.734Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:08:55.216Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:08:58.705Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:09:02.291Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:09:03.911Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:09:05.541Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:09:08.060Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:09:09.677Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:09:10.460Z] 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.
[2025-12-13T14:09:10.461Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:09:10.461Z] Top recommended movies for user id 72:
[2025-12-13T14:09:10.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:09:10.461Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:09:10.461Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:09:10.461Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:09:10.461Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:09:10.461Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21347.328 ms) ======
[2025-12-13T14:09:10.461Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-13T14:09:10.461Z] GC before operation: completed in 139.286 ms, heap usage 2.285 GB -> 97.520 MB.
[2025-12-13T14:09:13.937Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:09:16.458Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:09:19.945Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:09:23.418Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:09:25.037Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:09:26.652Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:09:29.165Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:09:30.801Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:09:31.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-13T14:09:31.590Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:09:31.590Z] Top recommended movies for user id 72:
[2025-12-13T14:09:31.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:09:31.590Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:09:31.590Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:09:31.590Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:09:31.590Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:09:31.590Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21026.419 ms) ======
[2025-12-13T14:09:31.590Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-13T14:09:31.590Z] GC before operation: completed in 118.724 ms, heap usage 286.217 MB -> 91.339 MB.
[2025-12-13T14:09:35.083Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:09:37.595Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:09:42.134Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:09:44.645Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:09:47.165Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:09:48.789Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:09:51.300Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:09:52.934Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:09:52.934Z] 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.
[2025-12-13T14:09:52.934Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:09:53.716Z] Top recommended movies for user id 72:
[2025-12-13T14:09:53.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:09:53.716Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:09:53.716Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:09:53.716Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:09:53.716Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:09:53.716Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21764.826 ms) ======
[2025-12-13T14:09:53.716Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-13T14:09:53.716Z] GC before operation: completed in 115.191 ms, heap usage 317.924 MB -> 91.210 MB.
[2025-12-13T14:09:57.200Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:09:59.928Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:10:03.406Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:10:06.891Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:10:08.517Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:10:10.131Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:10:12.827Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:10:14.468Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:10:14.468Z] 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.
[2025-12-13T14:10:14.468Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:10:14.468Z] Top recommended movies for user id 72:
[2025-12-13T14:10:14.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:10:14.468Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:10:14.468Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:10:14.468Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:10:14.468Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:10:14.468Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21194.049 ms) ======
[2025-12-13T14:10:14.468Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-13T14:10:15.249Z] GC before operation: completed in 121.683 ms, heap usage 304.403 MB -> 91.495 MB.
[2025-12-13T14:10:17.766Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:10:21.237Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:10:24.717Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:10:28.200Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:10:29.817Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:10:31.441Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:10:33.952Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:10:35.581Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:10:35.581Z] 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.
[2025-12-13T14:10:35.581Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:10:36.363Z] Top recommended movies for user id 72:
[2025-12-13T14:10:36.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:10:36.363Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:10:36.363Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:10:36.363Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:10:36.363Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:10:36.363Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21183.995 ms) ======
[2025-12-13T14:10:36.363Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-13T14:10:36.363Z] GC before operation: completed in 119.705 ms, heap usage 369.241 MB -> 91.322 MB.
[2025-12-13T14:10:39.839Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:10:42.355Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:10:45.851Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:10:49.359Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:10:50.988Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:10:52.604Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:10:55.117Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:10:56.734Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:10:57.519Z] 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.
[2025-12-13T14:10:57.519Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:10:57.519Z] Top recommended movies for user id 72:
[2025-12-13T14:10:57.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:10:57.519Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:10:57.519Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:10:57.519Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:10:57.519Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:10:57.519Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21123.160 ms) ======
[2025-12-13T14:10:57.519Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-13T14:10:57.519Z] GC before operation: completed in 120.654 ms, heap usage 188.521 MB -> 91.120 MB.
[2025-12-13T14:11:00.991Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:11:03.672Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:11:07.192Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:11:10.135Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:11:11.753Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:11:13.373Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:11:15.000Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:11:17.518Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:11:17.518Z] 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.
[2025-12-13T14:11:17.518Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:11:17.518Z] Top recommended movies for user id 72:
[2025-12-13T14:11:17.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:11:17.518Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:11:17.518Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:11:17.518Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:11:17.518Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:11:17.518Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20005.209 ms) ======
[2025-12-13T14:11:17.518Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-13T14:11:17.518Z] GC before operation: completed in 140.385 ms, heap usage 2.896 GB -> 99.096 MB.
[2025-12-13T14:11:20.031Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:11:23.507Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:11:26.983Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:11:30.466Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:11:32.082Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:11:33.698Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:11:36.217Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:11:37.869Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:11:37.869Z] 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.
[2025-12-13T14:11:37.869Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:11:37.869Z] Top recommended movies for user id 72:
[2025-12-13T14:11:37.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:11:37.869Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:11:37.869Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:11:37.869Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:11:37.869Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:11:37.869Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20549.527 ms) ======
[2025-12-13T14:11:37.869Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-13T14:11:38.650Z] GC before operation: completed in 137.219 ms, heap usage 2.858 GB -> 97.673 MB.
[2025-12-13T14:11:41.168Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:11:44.657Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:11:48.167Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:11:51.671Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:11:53.300Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:11:54.921Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:11:57.437Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:11:59.053Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:11:59.053Z] 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.
[2025-12-13T14:11:59.053Z] The best model improves the baseline by 14.43%.
[2025-12-13T14:11:59.834Z] Top recommended movies for user id 72:
[2025-12-13T14:11:59.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-13T14:11:59.834Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-13T14:11:59.834Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-13T14:11:59.834Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-13T14:11:59.834Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-13T14:11:59.834Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21260.644 ms) ======
[2025-12-13T14:11:59.834Z] -----------------------------------
[2025-12-13T14:11:59.834Z] renaissance-movie-lens_0_PASSED
[2025-12-13T14:11:59.834Z] -----------------------------------
[2025-12-13T14:11:59.834Z]
[2025-12-13T14:11:59.834Z] TEST TEARDOWN:
[2025-12-13T14:11:59.834Z] Nothing to be done for teardown.
[2025-12-13T14:11:59.834Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 14:11:59 2025 Epoch Time (ms): 1765635119731