renaissance-movie-lens_0
[2026-01-18T01:18:07.042Z] Running test renaissance-movie-lens_0 ...
[2026-01-18T01:18:07.042Z] ===============================================
[2026-01-18T01:18:07.042Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 01:18:03 2026 Epoch Time (ms): 1768699083734
[2026-01-18T01:18:07.042Z] variation: NoOptions
[2026-01-18T01:18:07.042Z] JVM_OPTIONS:
[2026-01-18T01:18:07.042Z] { \
[2026-01-18T01:18:07.042Z] echo ""; echo "TEST SETUP:"; \
[2026-01-18T01:18:07.042Z] echo "Nothing to be done for setup."; \
[2026-01-18T01:18:07.042Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17686957257109/renaissance-movie-lens_0"; \
[2026-01-18T01:18:07.042Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17686957257109/renaissance-movie-lens_0"; \
[2026-01-18T01:18:07.042Z] echo ""; echo "TESTING:"; \
[2026-01-18T01:18:07.042Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/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_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17686957257109/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-18T01:18:07.042Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17686957257109/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-18T01:18:07.042Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-18T01:18:07.042Z] echo "Nothing to be done for teardown."; \
[2026-01-18T01:18:07.042Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17686957257109/TestTargetResult";
[2026-01-18T01:18:07.042Z]
[2026-01-18T01:18:07.042Z] TEST SETUP:
[2026-01-18T01:18:07.042Z] Nothing to be done for setup.
[2026-01-18T01:18:07.042Z]
[2026-01-18T01:18:07.042Z] TESTING:
[2026-01-18T01:18:07.042Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-18T01:18:07.042Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/output_17686957257109/renaissance-movie-lens_0/launcher-011804-12383715297605993932/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-18T01:18:07.042Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-18T01:18:07.042Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-18T01:18:30.228Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-18T01:19:03.652Z] 01:18:58.539 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.
[2026-01-18T01:19:08.462Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-18T01:19:11.445Z] Training: 60056, validation: 20285, test: 19854
[2026-01-18T01:19:11.445Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-18T01:19:12.160Z] GC before operation: completed in 613.655 ms, heap usage 334.235 MB -> 76.015 MB.
[2026-01-18T01:19:40.001Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:19:53.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:20:04.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:20:17.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:20:22.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:20:28.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:20:34.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:20:40.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:20:41.323Z] 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.
[2026-01-18T01:20:41.656Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:20:42.842Z] Top recommended movies for user id 72:
[2026-01-18T01:20:42.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:20:42.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:20:42.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:20:42.842Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:20:42.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:20:42.842Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90613.601 ms) ======
[2026-01-18T01:20:42.842Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-18T01:20:43.583Z] GC before operation: completed in 1062.050 ms, heap usage 210.460 MB -> 88.433 MB.
[2026-01-18T01:20:54.472Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:21:05.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:21:14.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:21:23.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:21:29.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:21:35.149Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:21:41.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:21:46.038Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:21:47.194Z] 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.
[2026-01-18T01:21:47.194Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:21:47.906Z] Top recommended movies for user id 72:
[2026-01-18T01:21:47.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:21:47.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:21:47.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:21:47.906Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:21:47.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:21:47.906Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64276.311 ms) ======
[2026-01-18T01:21:47.906Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-18T01:21:49.100Z] GC before operation: completed in 968.422 ms, heap usage 798.464 MB -> 92.596 MB.
[2026-01-18T01:21:59.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:22:08.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:22:17.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:22:25.352Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:22:30.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:22:34.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:22:39.725Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:22:45.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:22:45.663Z] 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.
[2026-01-18T01:22:45.663Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:22:46.376Z] Top recommended movies for user id 72:
[2026-01-18T01:22:46.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:22:46.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:22:46.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:22:46.376Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:22:46.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:22:46.376Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57420.941 ms) ======
[2026-01-18T01:22:46.376Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-18T01:22:47.538Z] GC before operation: completed in 965.305 ms, heap usage 833.918 MB -> 93.474 MB.
[2026-01-18T01:22:56.473Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:23:03.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:23:12.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:23:21.699Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:23:25.511Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:23:30.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:23:36.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:23:40.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:23:41.353Z] 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.
[2026-01-18T01:23:41.353Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:23:42.067Z] Top recommended movies for user id 72:
[2026-01-18T01:23:42.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:23:42.067Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:23:42.067Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:23:42.067Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:23:42.067Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:23:42.067Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (54563.252 ms) ======
[2026-01-18T01:23:42.067Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-18T01:23:42.781Z] GC before operation: completed in 950.201 ms, heap usage 502.135 MB -> 90.005 MB.
[2026-01-18T01:23:51.712Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:24:00.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:24:09.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:24:16.959Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:24:23.019Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:24:28.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:24:33.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:24:39.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:24:40.455Z] 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.
[2026-01-18T01:24:40.787Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:24:41.516Z] Top recommended movies for user id 72:
[2026-01-18T01:24:41.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:24:41.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:24:41.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:24:41.516Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:24:41.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:24:41.516Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58527.920 ms) ======
[2026-01-18T01:24:41.516Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-18T01:24:42.255Z] GC before operation: completed in 778.420 ms, heap usage 451.116 MB -> 89.918 MB.
[2026-01-18T01:24:51.214Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:25:00.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:25:09.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:25:16.457Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:25:21.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:25:26.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:25:32.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:25:38.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:25:38.404Z] 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.
[2026-01-18T01:25:38.740Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:25:39.467Z] Top recommended movies for user id 72:
[2026-01-18T01:25:39.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:25:39.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:25:39.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:25:39.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:25:39.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:25:39.467Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57202.522 ms) ======
[2026-01-18T01:25:39.467Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-18T01:25:40.213Z] GC before operation: completed in 772.775 ms, heap usage 303.959 MB -> 90.075 MB.
[2026-01-18T01:25:49.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:25:56.479Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:26:05.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:26:14.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:26:18.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:26:23.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:26:27.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:26:32.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:26:33.496Z] 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.
[2026-01-18T01:26:33.496Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:26:33.837Z] Top recommended movies for user id 72:
[2026-01-18T01:26:33.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:26:33.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:26:33.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:26:33.837Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:26:33.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:26:33.837Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53800.506 ms) ======
[2026-01-18T01:26:33.837Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-18T01:26:35.015Z] GC before operation: completed in 829.918 ms, heap usage 503.839 MB -> 90.299 MB.
[2026-01-18T01:26:43.961Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:26:51.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:26:58.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:27:06.010Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:27:10.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:27:14.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:27:19.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:27:24.171Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:27:24.526Z] 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.
[2026-01-18T01:27:24.859Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:27:25.287Z] Top recommended movies for user id 72:
[2026-01-18T01:27:25.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:27:25.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:27:25.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:27:25.287Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:27:25.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:27:25.287Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (50558.158 ms) ======
[2026-01-18T01:27:25.287Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-18T01:27:26.475Z] GC before operation: completed in 924.423 ms, heap usage 1.136 GB -> 95.432 MB.
[2026-01-18T01:27:35.404Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:27:42.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:27:50.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:27:58.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:28:03.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:28:09.723Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:28:14.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:28:19.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:28:19.997Z] 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.
[2026-01-18T01:28:20.329Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:28:21.059Z] Top recommended movies for user id 72:
[2026-01-18T01:28:21.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:28:21.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:28:21.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:28:21.059Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:28:21.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:28:21.059Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54606.549 ms) ======
[2026-01-18T01:28:21.059Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-18T01:28:21.793Z] GC before operation: completed in 783.741 ms, heap usage 389.535 MB -> 90.229 MB.
[2026-01-18T01:28:30.712Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:28:38.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:28:47.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:28:54.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:28:59.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:29:04.009Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:29:09.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:29:14.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:29:15.087Z] 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.
[2026-01-18T01:29:15.087Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:29:15.801Z] Top recommended movies for user id 72:
[2026-01-18T01:29:15.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:29:15.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:29:15.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:29:15.801Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:29:15.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:29:15.801Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54255.052 ms) ======
[2026-01-18T01:29:15.801Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-18T01:29:16.975Z] GC before operation: completed in 811.653 ms, heap usage 250.346 MB -> 90.250 MB.
[2026-01-18T01:29:26.075Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:29:33.378Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:29:42.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:29:49.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:29:54.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:29:59.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:30:05.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:30:10.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:30:10.781Z] 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.
[2026-01-18T01:30:10.781Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:30:11.497Z] Top recommended movies for user id 72:
[2026-01-18T01:30:11.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:30:11.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:30:11.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:30:11.497Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:30:11.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:30:11.497Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54785.779 ms) ======
[2026-01-18T01:30:11.497Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-18T01:30:12.231Z] GC before operation: completed in 798.768 ms, heap usage 201.035 MB -> 89.981 MB.
[2026-01-18T01:30:21.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:30:28.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:30:35.814Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:30:43.261Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:30:47.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:30:51.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:30:56.700Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:31:00.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:31:01.225Z] 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.
[2026-01-18T01:31:01.556Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:31:01.888Z] Top recommended movies for user id 72:
[2026-01-18T01:31:01.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:31:01.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:31:01.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:31:01.888Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:31:01.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:31:01.888Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49636.058 ms) ======
[2026-01-18T01:31:01.888Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-18T01:31:03.064Z] GC before operation: completed in 840.883 ms, heap usage 509.545 MB -> 90.573 MB.
[2026-01-18T01:31:11.987Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:31:19.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:31:26.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:31:33.987Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:31:37.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:31:43.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:31:47.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:31:52.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:31:53.031Z] 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.
[2026-01-18T01:31:53.031Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:31:53.747Z] Top recommended movies for user id 72:
[2026-01-18T01:31:53.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:31:53.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:31:53.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:31:53.747Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:31:53.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:31:53.747Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51009.146 ms) ======
[2026-01-18T01:31:53.747Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-18T01:31:54.901Z] GC before operation: completed in 929.938 ms, heap usage 1.520 GB -> 96.380 MB.
[2026-01-18T01:32:03.899Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:32:11.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:32:20.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:32:27.459Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:32:32.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:32:37.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:32:41.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:32:46.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:32:47.439Z] 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.
[2026-01-18T01:32:47.439Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:32:48.151Z] Top recommended movies for user id 72:
[2026-01-18T01:32:48.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:32:48.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:32:48.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:32:48.151Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:32:48.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:32:48.151Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (53519.226 ms) ======
[2026-01-18T01:32:48.151Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-18T01:32:49.322Z] GC before operation: completed in 799.830 ms, heap usage 186.669 MB -> 90.135 MB.
[2026-01-18T01:32:58.242Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:33:05.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:33:14.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:33:21.883Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:33:26.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:33:31.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:33:36.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:33:41.045Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:33:41.838Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T01:33:41.838Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:33:42.623Z] Top recommended movies for user id 72:
[2026-01-18T01:33:42.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:33:42.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:33:42.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:33:42.624Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:33:42.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:33:42.624Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53486.647 ms) ======
[2026-01-18T01:33:42.624Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-18T01:33:43.368Z] GC before operation: completed in 818.435 ms, heap usage 298.150 MB -> 90.484 MB.
[2026-01-18T01:33:52.306Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:33:59.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:34:08.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:34:15.844Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:34:20.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:34:25.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:34:30.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:34:34.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:34:36.146Z] 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.
[2026-01-18T01:34:36.146Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:34:36.874Z] Top recommended movies for user id 72:
[2026-01-18T01:34:36.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:34:36.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:34:36.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:34:36.874Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:34:36.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:34:36.874Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (53360.623 ms) ======
[2026-01-18T01:34:36.874Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-18T01:34:37.610Z] GC before operation: completed in 827.406 ms, heap usage 375.391 MB -> 90.475 MB.
[2026-01-18T01:34:46.543Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:34:55.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:35:02.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:35:10.281Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:35:15.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:35:19.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:35:24.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:35:29.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:35:30.860Z] 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.
[2026-01-18T01:35:30.860Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:35:31.589Z] Top recommended movies for user id 72:
[2026-01-18T01:35:31.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:35:31.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:35:31.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:35:31.589Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:35:31.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:35:31.589Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53834.850 ms) ======
[2026-01-18T01:35:31.589Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-18T01:35:32.325Z] GC before operation: completed in 812.287 ms, heap usage 155.604 MB -> 90.167 MB.
[2026-01-18T01:35:41.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:35:48.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:35:55.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:36:04.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:36:08.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:36:13.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:36:18.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:36:22.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:36:23.012Z] 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.
[2026-01-18T01:36:23.344Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:36:23.678Z] Top recommended movies for user id 72:
[2026-01-18T01:36:23.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:36:23.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:36:23.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:36:23.678Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:36:23.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:36:23.678Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (51609.162 ms) ======
[2026-01-18T01:36:23.678Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-18T01:36:24.863Z] GC before operation: completed in 877.111 ms, heap usage 812.041 MB -> 94.200 MB.
[2026-01-18T01:36:33.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:36:39.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:36:47.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:36:54.587Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:36:59.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:37:03.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:37:07.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:37:12.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:37:12.771Z] 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.
[2026-01-18T01:37:13.104Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:37:13.825Z] Top recommended movies for user id 72:
[2026-01-18T01:37:13.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:37:13.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:37:13.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:37:13.825Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:37:13.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:37:13.825Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48952.354 ms) ======
[2026-01-18T01:37:13.825Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-18T01:37:14.557Z] GC before operation: completed in 850.396 ms, heap usage 250.818 MB -> 90.235 MB.
[2026-01-18T01:37:23.516Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T01:37:29.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T01:37:36.978Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T01:37:44.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T01:37:48.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T01:37:52.906Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T01:37:57.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T01:38:02.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T01:38:02.829Z] 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.
[2026-01-18T01:38:03.163Z] The best model improves the baseline by 14.52%.
[2026-01-18T01:38:03.903Z] Top recommended movies for user id 72:
[2026-01-18T01:38:03.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T01:38:03.903Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T01:38:03.903Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T01:38:03.903Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T01:38:03.903Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T01:38:03.903Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49294.903 ms) ======
[2026-01-18T01:38:07.090Z] -----------------------------------
[2026-01-18T01:38:07.090Z] renaissance-movie-lens_0_PASSED
[2026-01-18T01:38:07.090Z] -----------------------------------
[2026-01-18T01:38:07.090Z]
[2026-01-18T01:38:07.090Z] TEST TEARDOWN:
[2026-01-18T01:38:07.090Z] Nothing to be done for teardown.
[2026-01-18T01:38:07.090Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 01:38:07 2026 Epoch Time (ms): 1768700287046