renaissance-movie-lens_0
[2025-12-13T14:30:21.131Z] Running test renaissance-movie-lens_0 ...
[2025-12-13T14:30:21.131Z] ===============================================
[2025-12-13T14:30:21.131Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 14:30:20 2025 Epoch Time (ms): 1765636220686
[2025-12-13T14:30:21.131Z] variation: NoOptions
[2025-12-13T14:30:21.131Z] JVM_OPTIONS:
[2025-12-13T14:30:21.131Z] { \
[2025-12-13T14:30:21.131Z] echo ""; echo "TEST SETUP:"; \
[2025-12-13T14:30:21.131Z] echo "Nothing to be done for setup."; \
[2025-12-13T14:30:21.131Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656341802983/renaissance-movie-lens_0"; \
[2025-12-13T14:30:21.132Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656341802983/renaissance-movie-lens_0"; \
[2025-12-13T14:30:21.132Z] echo ""; echo "TESTING:"; \
[2025-12-13T14:30:21.132Z] "/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_17656341802983/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-13T14:30:21.132Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656341802983/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-13T14:30:21.132Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-13T14:30:21.132Z] echo "Nothing to be done for teardown."; \
[2025-12-13T14:30:21.132Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17656341802983/TestTargetResult";
[2025-12-13T14:30:21.132Z]
[2025-12-13T14:30:21.132Z] TEST SETUP:
[2025-12-13T14:30:21.132Z] Nothing to be done for setup.
[2025-12-13T14:30:21.132Z]
[2025-12-13T14:30:21.132Z] TESTING:
[2025-12-13T14:30:22.084Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-13T14:30:22.084Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17656341802983/renaissance-movie-lens_0/launcher-143020-832375630489816975/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-13T14:30:22.084Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-13T14:30:22.084Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-13T14:30:36.038Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-13T14:30:55.089Z] 14:30:53.498 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-12-13T14:30:58.140Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-13T14:30:59.101Z] Training: 60056, validation: 20285, test: 19854
[2025-12-13T14:30:59.101Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-13T14:30:59.101Z] GC before operation: completed in 208.467 ms, heap usage 288.392 MB -> 76.099 MB.
[2025-12-13T14:31:13.742Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:31:20.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:31:26.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:31:32.855Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:31:35.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:31:40.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:31:43.143Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:31:46.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:31:47.162Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:31:47.162Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:31:47.162Z] Top recommended movies for user id 72:
[2025-12-13T14:31:47.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:31:47.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:31:47.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:31:47.162Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:31:47.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:31:48.186Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (48585.521 ms) ======
[2025-12-13T14:31:48.186Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-13T14:31:48.186Z] GC before operation: completed in 225.628 ms, heap usage 121.137 MB -> 86.383 MB.
[2025-12-13T14:31:53.681Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:31:59.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:32:04.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:32:10.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:32:13.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:32:16.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:32:19.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:32:23.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:32:24.155Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:32:24.155Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:32:24.155Z] Top recommended movies for user id 72:
[2025-12-13T14:32:24.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:32:24.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:32:24.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:32:24.155Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:32:24.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:32:24.155Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (36207.677 ms) ======
[2025-12-13T14:32:24.155Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-13T14:32:24.155Z] GC before operation: completed in 221.357 ms, heap usage 359.216 MB -> 88.872 MB.
[2025-12-13T14:32:29.578Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:32:33.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:32:37.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:32:42.168Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:32:45.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:32:47.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:32:49.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:32:52.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:32:53.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:32:53.900Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:32:53.900Z] Top recommended movies for user id 72:
[2025-12-13T14:32:53.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:32:53.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:32:53.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:32:53.900Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:32:53.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:32:53.900Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29476.580 ms) ======
[2025-12-13T14:32:53.900Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-13T14:32:53.900Z] GC before operation: completed in 189.865 ms, heap usage 120.998 MB -> 89.269 MB.
[2025-12-13T14:32:58.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:33:02.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:33:06.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:33:10.807Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:33:13.849Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:33:16.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:33:19.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:33:21.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:33:22.868Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:33:22.868Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:33:22.868Z] Top recommended movies for user id 72:
[2025-12-13T14:33:22.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:33:22.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:33:22.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:33:22.868Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:33:22.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:33:22.868Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29112.391 ms) ======
[2025-12-13T14:33:22.868Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-13T14:33:22.868Z] GC before operation: completed in 199.116 ms, heap usage 118.711 MB -> 92.497 MB.
[2025-12-13T14:33:27.052Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:33:31.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:33:36.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:33:39.691Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:33:42.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:33:45.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:33:47.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:33:50.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:33:50.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:33:50.804Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:33:51.764Z] Top recommended movies for user id 72:
[2025-12-13T14:33:51.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:33:51.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:33:51.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:33:51.764Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:33:51.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:33:51.764Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28171.974 ms) ======
[2025-12-13T14:33:51.764Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-13T14:33:51.764Z] GC before operation: completed in 229.808 ms, heap usage 297.076 MB -> 89.759 MB.
[2025-12-13T14:33:55.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:34:01.382Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:34:04.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:34:09.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:34:11.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:34:13.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:34:16.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:34:18.358Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:34:18.358Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:34:19.314Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:34:19.314Z] Top recommended movies for user id 72:
[2025-12-13T14:34:19.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:34:19.314Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:34:19.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:34:19.315Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:34:19.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:34:19.315Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27422.706 ms) ======
[2025-12-13T14:34:19.315Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-13T14:34:19.315Z] GC before operation: completed in 204.759 ms, heap usage 104.100 MB -> 89.945 MB.
[2025-12-13T14:34:23.496Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:34:27.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:34:31.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:34:36.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:34:38.021Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:34:39.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:34:43.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:34:45.020Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:34:45.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:34:45.986Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:34:45.986Z] Top recommended movies for user id 72:
[2025-12-13T14:34:45.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:34:45.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:34:45.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:34:45.986Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:34:45.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:34:45.986Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26586.296 ms) ======
[2025-12-13T14:34:45.986Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-13T14:34:45.986Z] GC before operation: completed in 212.208 ms, heap usage 435.243 MB -> 90.225 MB.
[2025-12-13T14:34:50.172Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:34:54.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:34:57.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:35:01.599Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:35:03.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:35:06.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:35:09.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:35:11.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:35:11.790Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:35:13.200Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:35:13.200Z] Top recommended movies for user id 72:
[2025-12-13T14:35:13.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:35:13.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:35:13.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:35:13.201Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:35:13.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:35:13.201Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26440.403 ms) ======
[2025-12-13T14:35:13.201Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-13T14:35:13.201Z] GC before operation: completed in 255.776 ms, heap usage 149.610 MB -> 90.078 MB.
[2025-12-13T14:35:17.402Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:35:20.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:35:24.630Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:35:28.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:35:30.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:35:33.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:35:35.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:35:38.838Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:35:38.838Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:35:38.838Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:35:39.795Z] Top recommended movies for user id 72:
[2025-12-13T14:35:39.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:35:39.795Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:35:39.795Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:35:39.795Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:35:39.795Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:35:39.795Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26512.873 ms) ======
[2025-12-13T14:35:39.795Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-13T14:35:39.795Z] GC before operation: completed in 238.562 ms, heap usage 295.476 MB -> 90.183 MB.
[2025-12-13T14:35:43.971Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:35:47.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:35:51.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:35:55.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:35:58.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:36:00.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:36:02.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:36:05.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:36:05.447Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:36:06.415Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:36:06.415Z] Top recommended movies for user id 72:
[2025-12-13T14:36:06.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:36:06.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:36:06.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:36:06.415Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:36:06.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:36:06.415Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26722.198 ms) ======
[2025-12-13T14:36:06.415Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-13T14:36:06.415Z] GC before operation: completed in 197.080 ms, heap usage 291.446 MB -> 90.352 MB.
[2025-12-13T14:36:10.607Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:36:13.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:36:18.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:36:21.572Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:36:23.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:36:25.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:36:28.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:36:30.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:36:30.707Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:36:30.707Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:36:30.707Z] Top recommended movies for user id 72:
[2025-12-13T14:36:30.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:36:30.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:36:30.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:36:30.708Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:36:30.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:36:30.708Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24694.623 ms) ======
[2025-12-13T14:36:30.708Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-13T14:36:31.668Z] GC before operation: completed in 252.557 ms, heap usage 709.357 MB -> 93.868 MB.
[2025-12-13T14:36:35.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:36:38.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:36:43.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:36:47.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:36:49.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:36:52.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:36:54.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:36:57.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:36:57.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:36:57.267Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:36:57.267Z] Top recommended movies for user id 72:
[2025-12-13T14:36:57.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:36:57.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:36:57.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:36:57.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:36:57.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:36:57.267Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26005.238 ms) ======
[2025-12-13T14:36:57.267Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-13T14:36:57.267Z] GC before operation: completed in 204.099 ms, heap usage 128.003 MB -> 90.049 MB.
[2025-12-13T14:37:01.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:37:05.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:37:09.946Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:37:14.174Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:37:16.142Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:37:19.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:37:21.172Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:37:24.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:37:24.239Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:37:24.239Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:37:24.239Z] Top recommended movies for user id 72:
[2025-12-13T14:37:24.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:37:24.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:37:24.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:37:24.239Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:37:24.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:37:24.239Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26987.667 ms) ======
[2025-12-13T14:37:24.239Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-13T14:37:25.214Z] GC before operation: completed in 233.224 ms, heap usage 342.619 MB -> 90.322 MB.
[2025-12-13T14:37:28.966Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:37:33.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:37:37.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:37:40.409Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:37:42.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:37:44.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:37:47.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:37:49.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:37:50.351Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:37:50.351Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:37:50.351Z] Top recommended movies for user id 72:
[2025-12-13T14:37:50.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:37:50.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:37:50.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:37:50.351Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:37:50.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:37:50.351Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25482.529 ms) ======
[2025-12-13T14:37:50.351Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-13T14:37:50.351Z] GC before operation: completed in 228.321 ms, heap usage 364.825 MB -> 90.297 MB.
[2025-12-13T14:37:54.537Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:37:58.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:38:02.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:38:05.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:38:09.013Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:38:10.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:38:14.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:38:17.124Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:38:17.124Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:38:17.124Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:38:17.124Z] Top recommended movies for user id 72:
[2025-12-13T14:38:17.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:38:17.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:38:17.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:38:17.125Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:38:17.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:38:17.125Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26959.941 ms) ======
[2025-12-13T14:38:17.125Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-13T14:38:18.088Z] GC before operation: completed in 209.188 ms, heap usage 206.925 MB -> 90.248 MB.
[2025-12-13T14:38:22.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:38:25.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:38:29.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:38:33.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:38:36.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:38:39.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:38:41.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:38:44.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:38:44.421Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:38:44.421Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:38:44.421Z] Top recommended movies for user id 72:
[2025-12-13T14:38:44.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:38:44.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:38:44.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:38:44.421Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:38:44.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:38:44.421Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26885.293 ms) ======
[2025-12-13T14:38:44.421Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-13T14:38:44.421Z] GC before operation: completed in 224.994 ms, heap usage 391.861 MB -> 90.335 MB.
[2025-12-13T14:38:49.858Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:38:53.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:38:57.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:39:01.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:39:03.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:39:05.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:39:08.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:39:10.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:39:11.729Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:39:11.729Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:39:11.729Z] Top recommended movies for user id 72:
[2025-12-13T14:39:11.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:39:11.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:39:11.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:39:11.729Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:39:11.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:39:11.729Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26668.461 ms) ======
[2025-12-13T14:39:11.729Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-13T14:39:11.729Z] GC before operation: completed in 203.273 ms, heap usage 400.112 MB -> 90.500 MB.
[2025-12-13T14:39:15.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:39:20.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:39:23.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:39:27.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:39:29.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:39:32.559Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:39:34.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:39:37.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:39:37.348Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:39:37.348Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:39:38.313Z] Top recommended movies for user id 72:
[2025-12-13T14:39:38.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:39:38.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:39:38.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:39:38.314Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:39:38.314Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:39:38.314Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (26092.645 ms) ======
[2025-12-13T14:39:38.314Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-13T14:39:38.314Z] GC before operation: completed in 341.714 ms, heap usage 129.517 MB -> 89.931 MB.
[2025-12-13T14:39:42.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:39:47.054Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:39:50.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:39:54.565Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:39:56.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:39:58.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:40:01.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:40:03.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:40:03.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:40:03.917Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:40:03.917Z] Top recommended movies for user id 72:
[2025-12-13T14:40:03.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:40:03.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:40:03.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:40:03.917Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:40:03.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:40:03.917Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25967.019 ms) ======
[2025-12-13T14:40:03.917Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-13T14:40:03.917Z] GC before operation: completed in 215.041 ms, heap usage 387.686 MB -> 90.434 MB.
[2025-12-13T14:40:08.111Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:40:12.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:40:15.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:40:19.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:40:21.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:40:24.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:40:26.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:40:28.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:40:29.474Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:40:29.474Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:40:29.474Z] Top recommended movies for user id 72:
[2025-12-13T14:40:29.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:40:29.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:40:29.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:40:29.474Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:40:29.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:40:29.474Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24992.533 ms) ======
[2025-12-13T14:40:31.473Z] -----------------------------------
[2025-12-13T14:40:31.473Z] renaissance-movie-lens_0_PASSED
[2025-12-13T14:40:31.473Z] -----------------------------------
[2025-12-13T14:40:31.473Z]
[2025-12-13T14:40:31.473Z] TEST TEARDOWN:
[2025-12-13T14:40:31.473Z] Nothing to be done for teardown.
[2025-12-13T14:40:31.473Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 14:40:30 2025 Epoch Time (ms): 1765636830640