renaissance-movie-lens_0
[2026-02-27T12:04:54.807Z] Running test renaissance-movie-lens_0 ...
[2026-02-27T12:04:54.807Z] ===============================================
[2026-02-27T12:04:54.807Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 12:04:51 2026 Epoch Time (ms): 1772193891372
[2026-02-27T12:04:54.807Z] variation: NoOptions
[2026-02-27T12:04:54.807Z] JVM_OPTIONS:
[2026-02-27T12:04:54.807Z] { \
[2026-02-27T12:04:54.807Z] echo ""; echo "TEST SETUP:"; \
[2026-02-27T12:04:54.807Z] echo "Nothing to be done for setup."; \
[2026-02-27T12:04:54.807Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721916151423/renaissance-movie-lens_0"; \
[2026-02-27T12:04:54.807Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721916151423/renaissance-movie-lens_0"; \
[2026-02-27T12:04:54.807Z] echo ""; echo "TESTING:"; \
[2026-02-27T12:04:54.807Z] "/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_17721916151423/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-27T12:04:54.807Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721916151423/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-27T12:04:54.807Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-27T12:04:54.807Z] echo "Nothing to be done for teardown."; \
[2026-02-27T12:04:54.807Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17721916151423/TestTargetResult";
[2026-02-27T12:04:54.807Z]
[2026-02-27T12:04:54.807Z] TEST SETUP:
[2026-02-27T12:04:54.807Z] Nothing to be done for setup.
[2026-02-27T12:04:54.807Z]
[2026-02-27T12:04:54.807Z] TESTING:
[2026-02-27T12:04:54.807Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-27T12:04:54.807Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17721916151423/renaissance-movie-lens_0/launcher-120452-3871377757527988599/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-27T12:04:54.807Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-27T12:04:54.807Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-27T12:05:17.903Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-27T12:05:45.683Z] 12:05:44.948 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-27T12:05:56.531Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-27T12:05:57.783Z] Training: 60056, validation: 20285, test: 19854
[2026-02-27T12:05:57.783Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-27T12:05:58.144Z] GC before operation: completed in 657.629 ms, heap usage 397.202 MB -> 76.090 MB.
[2026-02-27T12:06:26.029Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:06:36.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:06:50.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:07:01.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:07:08.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:07:14.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:07:22.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:07:27.940Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:07:29.092Z] 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.
[2026-02-27T12:07:29.092Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:07:30.267Z] Top recommended movies for user id 72:
[2026-02-27T12:07:30.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:07:30.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:07:30.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:07:30.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:07:30.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:07:30.267Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91839.299 ms) ======
[2026-02-27T12:07:30.267Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-27T12:07:31.000Z] GC before operation: completed in 845.782 ms, heap usage 513.187 MB -> 87.124 MB.
[2026-02-27T12:07:41.865Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:07:53.074Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:08:03.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:08:12.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:08:18.771Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:08:24.700Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:08:30.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:08:36.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:08:36.776Z] 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.
[2026-02-27T12:08:37.122Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:08:37.830Z] Top recommended movies for user id 72:
[2026-02-27T12:08:37.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:08:37.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:08:37.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:08:37.830Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:08:37.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:08:37.830Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66738.760 ms) ======
[2026-02-27T12:08:37.830Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-27T12:08:40.174Z] GC before operation: completed in 947.603 ms, heap usage 815.922 MB -> 92.900 MB.
[2026-02-27T12:08:49.082Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:08:57.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:09:06.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:09:15.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:09:20.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:09:25.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:09:31.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:09:36.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:09:36.499Z] 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.
[2026-02-27T12:09:36.499Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:09:37.215Z] Top recommended movies for user id 72:
[2026-02-27T12:09:37.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:09:37.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:09:37.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:09:37.215Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:09:37.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:09:37.215Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58767.389 ms) ======
[2026-02-27T12:09:37.215Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-27T12:09:38.398Z] GC before operation: completed in 893.302 ms, heap usage 202.552 MB -> 89.461 MB.
[2026-02-27T12:09:49.237Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:09:56.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:10:05.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:10:12.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:10:17.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:10:23.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:10:28.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:10:33.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:10:33.993Z] 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.
[2026-02-27T12:10:33.993Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:10:34.718Z] Top recommended movies for user id 72:
[2026-02-27T12:10:34.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:10:34.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:10:34.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:10:34.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:10:34.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:10:34.718Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56331.698 ms) ======
[2026-02-27T12:10:34.718Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-27T12:10:35.471Z] GC before operation: completed in 932.433 ms, heap usage 381.622 MB -> 90.149 MB.
[2026-02-27T12:10:44.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:10:53.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:11:00.646Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:11:09.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:11:14.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:11:19.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:11:25.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:11:31.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:11:31.162Z] 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.
[2026-02-27T12:11:31.490Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:11:31.820Z] Top recommended movies for user id 72:
[2026-02-27T12:11:31.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:11:31.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:11:31.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:11:31.820Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:11:31.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:11:31.820Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (56382.042 ms) ======
[2026-02-27T12:11:31.820Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-27T12:11:33.013Z] GC before operation: completed in 884.368 ms, heap usage 541.454 MB -> 90.177 MB.
[2026-02-27T12:11:43.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:11:51.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:12:00.207Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:12:07.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:12:12.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:12:18.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:12:24.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:12:29.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:12:29.823Z] 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.
[2026-02-27T12:12:29.823Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:12:30.550Z] Top recommended movies for user id 72:
[2026-02-27T12:12:30.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:12:30.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:12:30.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:12:30.550Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:12:30.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:12:30.550Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57578.982 ms) ======
[2026-02-27T12:12:30.550Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-27T12:12:31.284Z] GC before operation: completed in 929.497 ms, heap usage 390.998 MB -> 90.413 MB.
[2026-02-27T12:12:40.201Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:12:47.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:12:56.403Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:13:03.691Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:13:08.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:13:13.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:13:19.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:13:24.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:13:24.436Z] 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.
[2026-02-27T12:13:24.436Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:13:25.156Z] Top recommended movies for user id 72:
[2026-02-27T12:13:25.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:13:25.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:13:25.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:13:25.156Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:13:25.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:13:25.156Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53861.928 ms) ======
[2026-02-27T12:13:25.156Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-27T12:13:26.306Z] GC before operation: completed in 890.108 ms, heap usage 374.097 MB -> 90.308 MB.
[2026-02-27T12:13:35.276Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:13:42.690Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:13:49.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:13:57.278Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:14:02.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:14:06.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:14:10.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:14:15.390Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:14:16.206Z] 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.
[2026-02-27T12:14:16.206Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:14:16.919Z] Top recommended movies for user id 72:
[2026-02-27T12:14:16.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:14:16.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:14:16.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:14:16.919Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:14:16.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:14:16.919Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (50761.294 ms) ======
[2026-02-27T12:14:16.919Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-27T12:14:17.642Z] GC before operation: completed in 958.777 ms, heap usage 986.305 MB -> 95.154 MB.
[2026-02-27T12:14:26.564Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:14:33.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:14:42.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:14:48.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:14:53.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:14:58.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:15:02.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:15:07.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:15:07.881Z] 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.
[2026-02-27T12:15:07.881Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:15:08.594Z] Top recommended movies for user id 72:
[2026-02-27T12:15:08.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:15:08.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:15:08.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:15:08.594Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:15:08.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:15:08.595Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (50832.478 ms) ======
[2026-02-27T12:15:08.595Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-27T12:15:09.768Z] GC before operation: completed in 903.147 ms, heap usage 254.275 MB -> 90.275 MB.
[2026-02-27T12:15:18.686Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:15:24.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:15:33.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:15:42.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:15:47.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:15:52.009Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:15:56.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:16:01.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:16:01.883Z] 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.
[2026-02-27T12:16:01.883Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:16:02.597Z] Top recommended movies for user id 72:
[2026-02-27T12:16:02.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:16:02.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:16:02.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:16:02.597Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:16:02.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:16:02.597Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53004.108 ms) ======
[2026-02-27T12:16:02.597Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-27T12:16:03.767Z] GC before operation: completed in 965.044 ms, heap usage 804.529 MB -> 94.376 MB.
[2026-02-27T12:16:12.888Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:16:20.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:16:29.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:16:36.391Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:16:40.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:16:45.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:16:49.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:16:54.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:16:54.962Z] 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.
[2026-02-27T12:16:54.962Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:16:55.672Z] Top recommended movies for user id 72:
[2026-02-27T12:16:55.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:16:55.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:16:55.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:16:55.672Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:16:55.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:16:55.672Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52104.445 ms) ======
[2026-02-27T12:16:55.672Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-27T12:16:56.396Z] GC before operation: completed in 955.724 ms, heap usage 452.403 MB -> 90.381 MB.
[2026-02-27T12:17:05.330Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:17:12.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:17:19.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:17:27.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:17:31.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:17:35.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:17:40.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:17:44.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:17:45.547Z] 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.
[2026-02-27T12:17:45.547Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:17:46.275Z] Top recommended movies for user id 72:
[2026-02-27T12:17:46.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:17:46.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:17:46.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:17:46.275Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:17:46.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:17:46.275Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49704.752 ms) ======
[2026-02-27T12:17:46.275Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-27T12:17:47.447Z] GC before operation: completed in 930.317 ms, heap usage 220.906 MB -> 90.251 MB.
[2026-02-27T12:17:56.478Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:18:03.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:18:11.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:18:16.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:18:21.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:18:27.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:18:32.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:18:37.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:18:37.453Z] 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.
[2026-02-27T12:18:37.791Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:18:38.508Z] Top recommended movies for user id 72:
[2026-02-27T12:18:38.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:18:38.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:18:38.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:18:38.508Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:18:38.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:18:38.508Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51289.184 ms) ======
[2026-02-27T12:18:38.508Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-27T12:18:39.676Z] GC before operation: completed in 927.275 ms, heap usage 176.223 MB -> 90.453 MB.
[2026-02-27T12:18:48.591Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:18:55.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:19:03.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:19:10.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:19:15.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:19:20.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:19:24.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:19:28.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:19:29.992Z] 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.
[2026-02-27T12:19:29.992Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:19:30.711Z] Top recommended movies for user id 72:
[2026-02-27T12:19:30.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:19:30.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:19:30.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:19:30.711Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:19:30.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:19:30.712Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51154.716 ms) ======
[2026-02-27T12:19:30.712Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-27T12:19:31.439Z] GC before operation: completed in 915.294 ms, heap usage 359.018 MB -> 90.388 MB.
[2026-02-27T12:19:40.367Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:19:47.840Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:19:56.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:20:04.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:20:08.872Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:20:14.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:20:19.556Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:20:24.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:20:24.744Z] 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.
[2026-02-27T12:20:25.074Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:20:25.404Z] Top recommended movies for user id 72:
[2026-02-27T12:20:25.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:20:25.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:20:25.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:20:25.404Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:20:25.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:20:25.404Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54046.492 ms) ======
[2026-02-27T12:20:25.404Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-27T12:20:26.594Z] GC before operation: completed in 912.341 ms, heap usage 359.162 MB -> 90.648 MB.
[2026-02-27T12:20:35.530Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:20:44.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:20:51.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:21:00.644Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:21:04.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:21:09.322Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:21:15.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:21:19.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:21:21.135Z] 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.
[2026-02-27T12:21:21.135Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:21:21.860Z] Top recommended movies for user id 72:
[2026-02-27T12:21:21.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:21:21.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:21:21.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:21:21.860Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:21:21.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:21:21.860Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55227.803 ms) ======
[2026-02-27T12:21:21.860Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-27T12:21:22.590Z] GC before operation: completed in 913.826 ms, heap usage 121.219 MB -> 90.256 MB.
[2026-02-27T12:21:31.505Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:21:38.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:21:46.127Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:21:52.043Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:21:56.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:22:01.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:22:06.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:22:10.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:22:10.889Z] 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.
[2026-02-27T12:22:10.889Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:22:11.599Z] Top recommended movies for user id 72:
[2026-02-27T12:22:11.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:22:11.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:22:11.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:22:11.599Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:22:11.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:22:11.599Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48992.644 ms) ======
[2026-02-27T12:22:11.599Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-27T12:22:12.761Z] GC before operation: completed in 936.928 ms, heap usage 256.003 MB -> 90.556 MB.
[2026-02-27T12:22:21.681Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:22:27.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:22:34.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:22:42.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:22:46.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:22:50.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:22:55.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:23:00.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:23:00.785Z] 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.
[2026-02-27T12:23:01.118Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:23:01.451Z] Top recommended movies for user id 72:
[2026-02-27T12:23:01.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:23:01.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:23:01.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:23:01.451Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:23:01.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:23:01.451Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49077.607 ms) ======
[2026-02-27T12:23:01.451Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-27T12:23:02.638Z] GC before operation: completed in 963.253 ms, heap usage 763.538 MB -> 94.211 MB.
[2026-02-27T12:23:11.520Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:23:17.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:23:24.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:23:32.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:23:36.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:23:40.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:23:45.515Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:23:50.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:23:50.602Z] 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.
[2026-02-27T12:23:50.934Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:23:51.665Z] Top recommended movies for user id 72:
[2026-02-27T12:23:51.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:23:51.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:23:51.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:23:51.665Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:23:51.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:23:51.665Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48953.371 ms) ======
[2026-02-27T12:23:51.665Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-27T12:23:52.400Z] GC before operation: completed in 933.818 ms, heap usage 188.010 MB -> 90.321 MB.
[2026-02-27T12:24:01.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-27T12:24:07.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-27T12:24:16.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-27T12:24:23.491Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-27T12:24:27.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-27T12:24:32.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-27T12:24:35.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-27T12:24:40.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-27T12:24:41.104Z] 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.
[2026-02-27T12:24:41.433Z] The best model improves the baseline by 14.52%.
[2026-02-27T12:24:41.764Z] Top recommended movies for user id 72:
[2026-02-27T12:24:41.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-27T12:24:41.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-27T12:24:41.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-27T12:24:41.764Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-27T12:24:41.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-27T12:24:41.764Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49398.752 ms) ======
[2026-02-27T12:24:45.548Z] -----------------------------------
[2026-02-27T12:24:45.548Z] renaissance-movie-lens_0_PASSED
[2026-02-27T12:24:45.548Z] -----------------------------------
[2026-02-27T12:24:45.548Z]
[2026-02-27T12:24:45.548Z] TEST TEARDOWN:
[2026-02-27T12:24:45.548Z] Nothing to be done for teardown.
[2026-02-27T12:24:45.548Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 12:24:45 2026 Epoch Time (ms): 1772195085121