renaissance-movie-lens_0
[2025-06-07T22:17:58.575Z] Running test renaissance-movie-lens_0 ...
[2025-06-07T22:17:58.575Z] ===============================================
[2025-06-07T22:17:58.575Z] renaissance-movie-lens_0 Start Time: Sat Jun 7 22:17:58 2025 Epoch Time (ms): 1749334678332
[2025-06-07T22:17:58.575Z] variation: NoOptions
[2025-06-07T22:17:58.575Z] JVM_OPTIONS:
[2025-06-07T22:17:58.575Z] { \
[2025-06-07T22:17:58.575Z] echo ""; echo "TEST SETUP:"; \
[2025-06-07T22:17:58.575Z] echo "Nothing to be done for setup."; \
[2025-06-07T22:17:58.575Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17493331425115/renaissance-movie-lens_0"; \
[2025-06-07T22:17:58.575Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17493331425115/renaissance-movie-lens_0"; \
[2025-06-07T22:17:58.575Z] echo ""; echo "TESTING:"; \
[2025-06-07T22:17:58.576Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17493331425115/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-07T22:17:58.576Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17493331425115/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-07T22:17:58.576Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-07T22:17:58.576Z] echo "Nothing to be done for teardown."; \
[2025-06-07T22:17:58.576Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17493331425115/TestTargetResult";
[2025-06-07T22:17:58.576Z]
[2025-06-07T22:17:58.576Z] TEST SETUP:
[2025-06-07T22:17:58.576Z] Nothing to be done for setup.
[2025-06-07T22:17:58.576Z]
[2025-06-07T22:17:58.576Z] TESTING:
[2025-06-07T22:17:59.503Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-07T22:17:59.503Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17493331425115/renaissance-movie-lens_0/launcher-221758-16507868803444666846/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-07T22:17:59.503Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-07T22:17:59.503Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-07T22:18:09.715Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-07T22:18:30.615Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-07T22:18:30.615Z] Training: 60056, validation: 20285, test: 19854
[2025-06-07T22:18:30.615Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-07T22:18:30.615Z] GC before operation: completed in 197.277 ms, heap usage 394.294 MB -> 76.385 MB.
[2025-06-07T22:18:38.749Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:18:45.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:18:49.361Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:18:54.617Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:18:57.567Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:19:00.520Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:19:03.488Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:19:06.442Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:19:06.442Z] 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.
[2025-06-07T22:19:06.442Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:19:07.373Z] Top recommended movies for user id 72:
[2025-06-07T22:19:07.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:19:07.373Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:19:07.373Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:19:07.373Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:19:07.373Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:19:07.373Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37612.394 ms) ======
[2025-06-07T22:19:07.373Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-07T22:19:07.373Z] GC before operation: completed in 236.017 ms, heap usage 396.588 MB -> 90.172 MB.
[2025-06-07T22:19:11.430Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:19:16.770Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:19:20.942Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:19:25.307Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:19:28.262Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:19:31.217Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:19:34.182Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:19:37.169Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:19:37.169Z] 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.
[2025-06-07T22:19:37.169Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:19:37.169Z] Top recommended movies for user id 72:
[2025-06-07T22:19:37.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:19:37.169Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:19:37.169Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:19:37.169Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:19:37.169Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:19:37.169Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30019.877 ms) ======
[2025-06-07T22:19:37.169Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-07T22:19:38.097Z] GC before operation: completed in 251.468 ms, heap usage 388.125 MB -> 90.504 MB.
[2025-06-07T22:19:42.155Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:19:46.297Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:19:50.356Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:19:53.303Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:19:56.306Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:19:58.218Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:20:01.173Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:20:03.078Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:20:04.007Z] 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.
[2025-06-07T22:20:04.007Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:20:04.007Z] Top recommended movies for user id 72:
[2025-06-07T22:20:04.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:20:04.007Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:20:04.007Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:20:04.007Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:20:04.007Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:20:04.007Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26396.961 ms) ======
[2025-06-07T22:20:04.007Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-07T22:20:04.007Z] GC before operation: completed in 300.233 ms, heap usage 864.106 MB -> 94.926 MB.
[2025-06-07T22:20:08.065Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:20:13.319Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:20:17.380Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:20:20.326Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:20:23.271Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:20:25.180Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:20:28.128Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:20:31.091Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:20:31.091Z] 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.
[2025-06-07T22:20:31.091Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:20:32.021Z] Top recommended movies for user id 72:
[2025-06-07T22:20:32.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:20:32.021Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:20:32.021Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:20:32.021Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:20:32.021Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:20:32.021Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27214.720 ms) ======
[2025-06-07T22:20:32.021Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-07T22:20:32.021Z] GC before operation: completed in 199.527 ms, heap usage 305.557 MB -> 91.461 MB.
[2025-06-07T22:20:35.681Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:20:39.744Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:20:43.814Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:20:46.766Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:20:49.715Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:20:51.632Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:20:54.585Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:20:56.498Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:20:57.428Z] 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.
[2025-06-07T22:20:57.428Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:20:57.428Z] Top recommended movies for user id 72:
[2025-06-07T22:20:57.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:20:57.428Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:20:57.428Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:20:57.428Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:20:57.428Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:20:57.428Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25897.974 ms) ======
[2025-06-07T22:20:57.428Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-07T22:20:58.359Z] GC before operation: completed in 186.377 ms, heap usage 390.375 MB -> 91.465 MB.
[2025-06-07T22:21:01.322Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:21:05.390Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:21:09.457Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:21:12.409Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:21:15.362Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:21:17.273Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:21:20.225Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:21:22.140Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:21:22.140Z] 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.
[2025-06-07T22:21:22.140Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:21:23.070Z] Top recommended movies for user id 72:
[2025-06-07T22:21:23.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:21:23.070Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:21:23.070Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:21:23.070Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:21:23.070Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:21:23.070Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24839.613 ms) ======
[2025-06-07T22:21:23.070Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-07T22:21:23.070Z] GC before operation: completed in 198.615 ms, heap usage 202.025 MB -> 91.763 MB.
[2025-06-07T22:21:27.129Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:21:30.081Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:21:34.156Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:21:38.305Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:21:40.218Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:21:42.834Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:21:44.743Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:21:47.703Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:21:47.703Z] 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.
[2025-06-07T22:21:47.703Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:21:47.703Z] Top recommended movies for user id 72:
[2025-06-07T22:21:47.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:21:47.703Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:21:47.703Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:21:47.703Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:21:47.703Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:21:47.703Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25127.543 ms) ======
[2025-06-07T22:21:47.703Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-07T22:21:48.632Z] GC before operation: completed in 188.984 ms, heap usage 156.563 MB -> 91.554 MB.
[2025-06-07T22:21:51.609Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:21:55.678Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:21:59.751Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:22:03.820Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:22:05.736Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:22:07.654Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:22:10.612Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:22:12.530Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:22:13.465Z] 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.
[2025-06-07T22:22:13.465Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:22:13.465Z] Top recommended movies for user id 72:
[2025-06-07T22:22:13.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:22:13.465Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:22:13.465Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:22:13.465Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:22:13.465Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:22:13.465Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25319.080 ms) ======
[2025-06-07T22:22:13.465Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-07T22:22:13.465Z] GC before operation: completed in 190.532 ms, heap usage 353.533 MB -> 92.120 MB.
[2025-06-07T22:22:17.538Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:22:21.605Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:22:24.561Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:22:28.803Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:22:30.720Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:22:33.689Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:22:35.605Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:22:38.573Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:22:38.573Z] 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.
[2025-06-07T22:22:38.573Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:22:38.573Z] Top recommended movies for user id 72:
[2025-06-07T22:22:38.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:22:38.573Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:22:38.573Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:22:38.573Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:22:38.573Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:22:38.573Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25249.690 ms) ======
[2025-06-07T22:22:38.573Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-07T22:22:39.504Z] GC before operation: completed in 248.110 ms, heap usage 146.669 MB -> 91.615 MB.
[2025-06-07T22:22:43.606Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:22:46.568Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:22:50.631Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:22:54.311Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:22:57.271Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:22:59.182Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:23:02.134Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:23:04.070Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:23:05.002Z] 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.
[2025-06-07T22:23:05.002Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:23:05.002Z] Top recommended movies for user id 72:
[2025-06-07T22:23:05.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:23:05.002Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:23:05.002Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:23:05.002Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:23:05.002Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:23:05.002Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25544.929 ms) ======
[2025-06-07T22:23:05.002Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-07T22:23:05.002Z] GC before operation: completed in 209.383 ms, heap usage 362.930 MB -> 92.118 MB.
[2025-06-07T22:23:09.063Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:23:13.139Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:23:16.088Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:23:19.043Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:23:20.955Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:23:23.902Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:23:25.812Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:23:27.723Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:23:27.723Z] 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.
[2025-06-07T22:23:27.723Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:23:28.653Z] Top recommended movies for user id 72:
[2025-06-07T22:23:28.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:23:28.653Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:23:28.653Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:23:28.653Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:23:28.653Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:23:28.654Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23293.856 ms) ======
[2025-06-07T22:23:28.654Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-07T22:23:28.654Z] GC before operation: completed in 228.607 ms, heap usage 291.135 MB -> 91.785 MB.
[2025-06-07T22:23:32.714Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:23:35.850Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:23:39.912Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:23:42.861Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:23:44.772Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:23:46.683Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:23:49.686Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:23:51.594Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:23:52.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-07T22:23:52.524Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:23:52.524Z] Top recommended movies for user id 72:
[2025-06-07T22:23:52.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:23:52.524Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:23:52.524Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:23:52.524Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:23:52.524Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:23:52.524Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24166.398 ms) ======
[2025-06-07T22:23:52.524Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-07T22:23:53.902Z] GC before operation: completed in 286.470 ms, heap usage 1.169 GB -> 97.592 MB.
[2025-06-07T22:23:56.855Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:24:00.921Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:24:05.022Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:24:07.971Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:24:10.922Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:24:12.833Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:24:15.786Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:24:17.693Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:24:18.622Z] 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.
[2025-06-07T22:24:18.622Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:24:18.622Z] Top recommended movies for user id 72:
[2025-06-07T22:24:18.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:24:18.622Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:24:18.622Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:24:18.622Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:24:18.622Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:24:18.622Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25992.447 ms) ======
[2025-06-07T22:24:18.622Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-07T22:24:19.552Z] GC before operation: completed in 231.475 ms, heap usage 350.401 MB -> 92.195 MB.
[2025-06-07T22:24:23.612Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:24:26.566Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:24:30.630Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:24:33.580Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:24:35.488Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:24:38.442Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:24:40.352Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:24:42.267Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:24:43.199Z] 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.
[2025-06-07T22:24:43.199Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:24:43.199Z] Top recommended movies for user id 72:
[2025-06-07T22:24:43.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:24:43.199Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:24:43.199Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:24:43.199Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:24:43.199Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:24:43.199Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23877.740 ms) ======
[2025-06-07T22:24:43.199Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-07T22:24:43.199Z] GC before operation: completed in 306.133 ms, heap usage 1.467 GB -> 97.028 MB.
[2025-06-07T22:24:47.259Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:24:51.376Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:24:54.327Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:24:59.084Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:25:00.017Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:25:02.967Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:25:04.877Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:25:07.824Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:25:07.824Z] 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.
[2025-06-07T22:25:07.824Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:25:07.824Z] Top recommended movies for user id 72:
[2025-06-07T22:25:07.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:25:07.825Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:25:07.825Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:25:07.825Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:25:07.825Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:25:07.825Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24621.247 ms) ======
[2025-06-07T22:25:07.825Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-07T22:25:07.825Z] GC before operation: completed in 209.051 ms, heap usage 1.300 GB -> 96.859 MB.
[2025-06-07T22:25:11.887Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:25:15.949Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:25:20.054Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:25:23.002Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:25:25.949Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:25:27.863Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:25:30.811Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:25:32.721Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:25:32.721Z] 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.
[2025-06-07T22:25:32.721Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:25:33.651Z] Top recommended movies for user id 72:
[2025-06-07T22:25:33.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:25:33.651Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:25:33.651Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:25:33.651Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:25:33.651Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:25:33.651Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25072.774 ms) ======
[2025-06-07T22:25:33.651Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-07T22:25:33.651Z] GC before operation: completed in 337.700 ms, heap usage 1.015 GB -> 95.960 MB.
[2025-06-07T22:25:37.709Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:25:40.657Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:25:43.605Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:25:47.665Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:25:49.575Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:25:51.485Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:25:53.395Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:25:55.302Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:25:56.234Z] 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.
[2025-06-07T22:25:56.234Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:25:56.234Z] Top recommended movies for user id 72:
[2025-06-07T22:25:56.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:25:56.234Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:25:56.234Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:25:56.234Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:25:56.234Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:25:56.234Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22520.636 ms) ======
[2025-06-07T22:25:56.234Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-07T22:25:56.234Z] GC before operation: completed in 210.246 ms, heap usage 341.383 MB -> 92.119 MB.
[2025-06-07T22:26:00.296Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:26:03.925Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:26:06.875Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:26:09.831Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:26:11.744Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:26:14.694Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:26:16.605Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:26:18.513Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:26:19.443Z] 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.
[2025-06-07T22:26:19.443Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:26:19.443Z] Top recommended movies for user id 72:
[2025-06-07T22:26:19.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:26:19.443Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:26:19.443Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:26:19.443Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:26:19.443Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:26:19.443Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22946.928 ms) ======
[2025-06-07T22:26:19.443Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-07T22:26:19.443Z] GC before operation: completed in 297.012 ms, heap usage 712.513 MB -> 92.321 MB.
[2025-06-07T22:26:23.547Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:26:26.498Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:26:30.560Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:26:34.627Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:26:36.538Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:26:39.488Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:26:41.396Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:26:44.361Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:26:44.361Z] 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.
[2025-06-07T22:26:44.361Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:26:44.361Z] Top recommended movies for user id 72:
[2025-06-07T22:26:44.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:26:44.361Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:26:44.361Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:26:44.361Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:26:44.361Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:26:44.361Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25163.266 ms) ======
[2025-06-07T22:26:44.361Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-07T22:26:45.290Z] GC before operation: completed in 242.200 ms, heap usage 129.251 MB -> 91.904 MB.
[2025-06-07T22:26:49.356Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:26:52.304Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:26:56.368Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:26:59.318Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:27:02.269Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:27:04.180Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:27:06.091Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:27:08.416Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:27:09.347Z] 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.
[2025-06-07T22:27:09.347Z] The best model improves the baseline by 14.43%.
[2025-06-07T22:27:09.347Z] Top recommended movies for user id 72:
[2025-06-07T22:27:09.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-07T22:27:09.347Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-07T22:27:09.347Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-07T22:27:09.347Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-07T22:27:09.347Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-07T22:27:09.347Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24352.895 ms) ======
[2025-06-07T22:27:11.264Z] -----------------------------------
[2025-06-07T22:27:11.264Z] renaissance-movie-lens_0_PASSED
[2025-06-07T22:27:11.264Z] -----------------------------------
[2025-06-07T22:27:11.264Z]
[2025-06-07T22:27:11.264Z] TEST TEARDOWN:
[2025-06-07T22:27:11.264Z] Nothing to be done for teardown.
[2025-06-07T22:27:11.264Z] renaissance-movie-lens_0 Finish Time: Sat Jun 7 22:27:10 2025 Epoch Time (ms): 1749335230969