renaissance-movie-lens_0
[2026-03-06T22:54:36.319Z] Running test renaissance-movie-lens_0 ...
[2026-03-06T22:54:36.319Z] ===============================================
[2026-03-06T22:54:36.319Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 22:54:36 2026 Epoch Time (ms): 1772837676041
[2026-03-06T22:54:36.319Z] variation: NoOptions
[2026-03-06T22:54:36.319Z] JVM_OPTIONS:
[2026-03-06T22:54:36.319Z] { \
[2026-03-06T22:54:36.319Z] echo ""; echo "TEST SETUP:"; \
[2026-03-06T22:54:36.319Z] echo "Nothing to be done for setup."; \
[2026-03-06T22:54:36.319Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1772835462430/renaissance-movie-lens_0"; \
[2026-03-06T22:54:36.319Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1772835462430/renaissance-movie-lens_0"; \
[2026-03-06T22:54:36.319Z] echo ""; echo "TESTING:"; \
[2026-03-06T22:54:36.319Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1772835462430/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-06T22:54:36.320Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1772835462430/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-06T22:54:36.320Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-06T22:54:36.320Z] echo "Nothing to be done for teardown."; \
[2026-03-06T22:54:36.320Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_1772835462430/TestTargetResult";
[2026-03-06T22:54:36.320Z]
[2026-03-06T22:54:36.320Z] TEST SETUP:
[2026-03-06T22:54:36.320Z] Nothing to be done for setup.
[2026-03-06T22:54:36.320Z]
[2026-03-06T22:54:36.320Z] TESTING:
[2026-03-06T22:54:38.590Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-06T22:54:38.590Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_1772835462430/renaissance-movie-lens_0/launcher-225436-8636408510360540687/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-06T22:54:38.590Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-06T22:54:38.590Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-06T22:55:01.687Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-06T22:55:35.095Z] 22:55:30.482 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-06T22:55:41.140Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-06T22:55:42.300Z] Training: 60056, validation: 20285, test: 19854
[2026-03-06T22:55:42.300Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-06T22:55:43.035Z] GC before operation: completed in 558.778 ms, heap usage 343.154 MB -> 76.147 MB.
[2026-03-06T22:56:10.851Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T22:56:26.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T22:56:37.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T22:56:50.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T22:56:56.909Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T22:57:04.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T22:57:10.143Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T22:57:16.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T22:57:17.236Z] 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.
[2026-03-06T22:57:17.569Z] The best model improves the baseline by 14.52%.
[2026-03-06T22:57:18.749Z] Top recommended movies for user id 72:
[2026-03-06T22:57:18.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T22:57:18.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T22:57:18.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T22:57:18.749Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T22:57:18.749Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T22:57:18.749Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (95551.275 ms) ======
[2026-03-06T22:57:18.749Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-06T22:57:19.488Z] GC before operation: completed in 855.834 ms, heap usage 308.027 MB -> 90.031 MB.
[2026-03-06T22:57:32.675Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T22:57:41.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T22:57:52.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T22:58:01.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T22:58:07.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T22:58:13.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T22:58:20.810Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T22:58:26.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T22:58:28.059Z] 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.
[2026-03-06T22:58:28.059Z] The best model improves the baseline by 14.52%.
[2026-03-06T22:58:28.785Z] Top recommended movies for user id 72:
[2026-03-06T22:58:28.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T22:58:28.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T22:58:28.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T22:58:28.785Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T22:58:28.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T22:58:28.785Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (69231.579 ms) ======
[2026-03-06T22:58:28.785Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-06T22:58:29.520Z] GC before operation: completed in 857.874 ms, heap usage 136.872 MB -> 88.921 MB.
[2026-03-06T22:58:40.422Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T22:58:49.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T22:58:58.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T22:59:05.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T22:59:11.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T22:59:16.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T22:59:21.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T22:59:25.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T22:59:26.635Z] 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.
[2026-03-06T22:59:26.968Z] The best model improves the baseline by 14.52%.
[2026-03-06T22:59:27.681Z] Top recommended movies for user id 72:
[2026-03-06T22:59:27.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T22:59:27.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T22:59:27.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T22:59:27.681Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T22:59:27.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T22:59:27.681Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57970.491 ms) ======
[2026-03-06T22:59:27.681Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-06T22:59:28.406Z] GC before operation: completed in 952.689 ms, heap usage 294.643 MB -> 89.756 MB.
[2026-03-06T22:59:37.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T22:59:46.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T22:59:53.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:00:01.011Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:00:07.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:00:16.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:00:20.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:00:23.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:00:24.474Z] 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.
[2026-03-06T23:00:24.474Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:00:25.273Z] Top recommended movies for user id 72:
[2026-03-06T23:00:25.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:00:25.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:00:25.273Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:00:25.273Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:00:25.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:00:25.273Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56598.956 ms) ======
[2026-03-06T23:00:25.273Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-06T23:00:26.057Z] GC before operation: completed in 946.392 ms, heap usage 449.048 MB -> 90.319 MB.
[2026-03-06T23:00:35.282Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:00:42.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:00:54.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:01:01.377Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:01:07.412Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:01:12.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:01:18.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:01:22.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:01:24.135Z] 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.
[2026-03-06T23:01:24.135Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:01:24.843Z] Top recommended movies for user id 72:
[2026-03-06T23:01:24.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:01:24.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:01:24.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:01:24.843Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:01:24.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:01:24.843Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58810.876 ms) ======
[2026-03-06T23:01:24.843Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-06T23:01:25.997Z] GC before operation: completed in 936.656 ms, heap usage 378.661 MB -> 90.053 MB.
[2026-03-06T23:01:36.959Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:01:44.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:01:53.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:02:00.629Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:02:06.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:02:11.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:02:17.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:02:22.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:02:23.321Z] 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.
[2026-03-06T23:02:23.321Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:02:23.655Z] Top recommended movies for user id 72:
[2026-03-06T23:02:23.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:02:23.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:02:23.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:02:23.655Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:02:23.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:02:23.655Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58049.585 ms) ======
[2026-03-06T23:02:23.655Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-06T23:02:24.832Z] GC before operation: completed in 918.440 ms, heap usage 309.440 MB -> 90.351 MB.
[2026-03-06T23:02:33.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:02:42.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:02:50.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:02:58.926Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:03:03.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:03:08.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:03:14.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:03:19.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:03:19.718Z] 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.
[2026-03-06T23:03:19.718Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:03:20.431Z] Top recommended movies for user id 72:
[2026-03-06T23:03:20.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:03:20.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:03:20.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:03:20.431Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:03:20.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:03:20.431Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55654.401 ms) ======
[2026-03-06T23:03:20.431Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-06T23:03:21.593Z] GC before operation: completed in 929.929 ms, heap usage 446.044 MB -> 90.491 MB.
[2026-03-06T23:03:30.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:03:37.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:03:45.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:03:52.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:03:57.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:04:02.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:04:06.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:04:11.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:04:12.364Z] 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.
[2026-03-06T23:04:12.365Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:04:13.090Z] Top recommended movies for user id 72:
[2026-03-06T23:04:13.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:04:13.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:04:13.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:04:13.090Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:04:13.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:04:13.090Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51575.251 ms) ======
[2026-03-06T23:04:13.090Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-06T23:04:13.825Z] GC before operation: completed in 940.763 ms, heap usage 495.681 MB -> 90.817 MB.
[2026-03-06T23:04:22.748Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:04:30.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:04:37.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:04:44.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:04:49.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:04:54.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:05:00.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:05:05.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:05:05.123Z] 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.
[2026-03-06T23:05:05.455Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:05:06.168Z] Top recommended movies for user id 72:
[2026-03-06T23:05:06.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:05:06.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:05:06.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:05:06.168Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:05:06.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:05:06.168Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52274.251 ms) ======
[2026-03-06T23:05:06.168Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-06T23:05:07.336Z] GC before operation: completed in 945.110 ms, heap usage 550.469 MB -> 90.705 MB.
[2026-03-06T23:05:16.249Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:05:23.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:05:32.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:05:40.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:05:46.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:05:51.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:05:55.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:06:00.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:06:01.420Z] 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.
[2026-03-06T23:06:01.420Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:06:02.144Z] Top recommended movies for user id 72:
[2026-03-06T23:06:02.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:06:02.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:06:02.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:06:02.144Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:06:02.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:06:02.144Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54924.749 ms) ======
[2026-03-06T23:06:02.144Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-06T23:06:02.886Z] GC before operation: completed in 965.407 ms, heap usage 777.630 MB -> 94.313 MB.
[2026-03-06T23:06:11.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:06:20.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:06:28.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:06:35.356Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:06:40.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:06:46.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:06:50.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:06:56.846Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:06:56.846Z] 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.
[2026-03-06T23:06:57.178Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:06:57.890Z] Top recommended movies for user id 72:
[2026-03-06T23:06:57.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:06:57.890Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:06:57.890Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:06:57.890Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:06:57.890Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:06:57.890Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54832.672 ms) ======
[2026-03-06T23:06:57.890Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-06T23:06:58.644Z] GC before operation: completed in 930.628 ms, heap usage 272.590 MB -> 90.189 MB.
[2026-03-06T23:07:07.557Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:07:16.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:07:23.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:07:32.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:07:36.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:07:42.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:07:47.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:07:51.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:07:52.604Z] 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.
[2026-03-06T23:07:52.936Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:07:53.666Z] Top recommended movies for user id 72:
[2026-03-06T23:07:53.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:07:53.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:07:53.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:07:53.666Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:07:53.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:07:53.666Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54723.831 ms) ======
[2026-03-06T23:07:53.666Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-06T23:07:54.405Z] GC before operation: completed in 919.855 ms, heap usage 340.201 MB -> 90.465 MB.
[2026-03-06T23:08:03.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:08:12.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:08:19.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:08:27.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:08:31.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:08:36.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:08:41.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:08:46.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:08:46.851Z] 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.
[2026-03-06T23:08:47.181Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:08:47.511Z] Top recommended movies for user id 72:
[2026-03-06T23:08:47.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:08:47.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:08:47.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:08:47.511Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:08:47.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:08:47.511Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (53300.431 ms) ======
[2026-03-06T23:08:47.511Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-06T23:08:48.671Z] GC before operation: completed in 976.501 ms, heap usage 500.993 MB -> 90.941 MB.
[2026-03-06T23:08:57.587Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:09:04.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:09:12.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:09:19.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:09:25.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:09:30.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:09:35.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:09:38.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:09:40.050Z] 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.
[2026-03-06T23:09:40.050Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:09:40.844Z] Top recommended movies for user id 72:
[2026-03-06T23:09:40.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:09:40.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:09:40.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:09:40.844Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:09:40.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:09:40.844Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (52041.402 ms) ======
[2026-03-06T23:09:40.844Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-06T23:09:41.606Z] GC before operation: completed in 997.329 ms, heap usage 238.396 MB -> 90.384 MB.
[2026-03-06T23:09:50.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:09:59.425Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:10:06.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:10:15.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:10:20.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:10:25.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:10:30.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:10:34.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:10:36.149Z] 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.
[2026-03-06T23:10:36.149Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:10:36.886Z] Top recommended movies for user id 72:
[2026-03-06T23:10:36.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:10:36.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:10:36.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:10:36.886Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:10:36.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:10:36.886Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54976.970 ms) ======
[2026-03-06T23:10:36.886Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-06T23:10:37.621Z] GC before operation: completed in 957.136 ms, heap usage 615.015 MB -> 94.246 MB.
[2026-03-06T23:10:46.614Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:10:53.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:11:01.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:11:08.479Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:11:12.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:11:17.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:11:21.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:11:26.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:11:27.098Z] 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.
[2026-03-06T23:11:27.098Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:11:27.813Z] Top recommended movies for user id 72:
[2026-03-06T23:11:27.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:11:27.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:11:27.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:11:27.813Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:11:27.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:11:27.813Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50140.350 ms) ======
[2026-03-06T23:11:27.813Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-06T23:11:28.987Z] GC before operation: completed in 985.003 ms, heap usage 423.979 MB -> 90.559 MB.
[2026-03-06T23:11:37.894Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:11:45.230Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:11:52.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:12:00.006Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:12:03.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:12:08.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:12:13.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:12:17.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:12:17.875Z] 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.
[2026-03-06T23:12:18.212Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:12:18.937Z] Top recommended movies for user id 72:
[2026-03-06T23:12:18.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:12:18.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:12:18.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:12:18.937Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:12:18.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:12:18.937Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50035.942 ms) ======
[2026-03-06T23:12:18.937Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-06T23:12:19.678Z] GC before operation: completed in 935.851 ms, heap usage 239.616 MB -> 90.432 MB.
[2026-03-06T23:12:28.605Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:12:36.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:12:43.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:12:50.705Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:12:55.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:12:59.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:13:04.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:13:08.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:13:09.572Z] 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.
[2026-03-06T23:13:09.572Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:13:09.918Z] Top recommended movies for user id 72:
[2026-03-06T23:13:09.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:13:09.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:13:09.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:13:09.918Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:13:09.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:13:09.918Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50300.334 ms) ======
[2026-03-06T23:13:09.918Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-06T23:13:11.144Z] GC before operation: completed in 973.523 ms, heap usage 629.066 MB -> 94.029 MB.
[2026-03-06T23:13:20.941Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:13:26.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:13:34.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:13:41.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:13:45.259Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:13:50.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:13:54.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:13:58.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:13:59.318Z] 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.
[2026-03-06T23:13:59.652Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:14:00.649Z] Top recommended movies for user id 72:
[2026-03-06T23:14:00.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:14:00.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:14:00.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:14:00.649Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:14:00.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:14:00.649Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49354.466 ms) ======
[2026-03-06T23:14:00.649Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-06T23:14:01.366Z] GC before operation: completed in 974.831 ms, heap usage 173.520 MB -> 90.412 MB.
[2026-03-06T23:14:10.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T23:14:17.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T23:14:24.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T23:14:30.864Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T23:14:35.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T23:14:40.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T23:14:44.374Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T23:14:49.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T23:14:50.309Z] 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.
[2026-03-06T23:14:50.309Z] The best model improves the baseline by 14.52%.
[2026-03-06T23:14:51.021Z] Top recommended movies for user id 72:
[2026-03-06T23:14:51.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T23:14:51.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T23:14:51.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T23:14:51.021Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T23:14:51.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T23:14:51.021Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49664.227 ms) ======
[2026-03-06T23:14:54.814Z] -----------------------------------
[2026-03-06T23:14:54.814Z] renaissance-movie-lens_0_PASSED
[2026-03-06T23:14:54.814Z] -----------------------------------
[2026-03-06T23:14:54.814Z]
[2026-03-06T23:14:54.814Z] TEST TEARDOWN:
[2026-03-06T23:14:54.814Z] Nothing to be done for teardown.
[2026-03-06T23:14:54.814Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 23:14:54 2026 Epoch Time (ms): 1772838894333