renaissance-movie-lens_0
[2026-01-03T17:01:51.878Z] Running test renaissance-movie-lens_0 ...
[2026-01-03T17:01:51.878Z] ===============================================
[2026-01-03T17:01:51.878Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 17:01:51 2026 Epoch Time (ms): 1767459711426
[2026-01-03T17:01:51.878Z] variation: NoOptions
[2026-01-03T17:01:51.878Z] JVM_OPTIONS:
[2026-01-03T17:01:51.878Z] { \
[2026-01-03T17:01:51.878Z] echo ""; echo "TEST SETUP:"; \
[2026-01-03T17:01:51.878Z] echo "Nothing to be done for setup."; \
[2026-01-03T17:01:51.878Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1767458156731/renaissance-movie-lens_0"; \
[2026-01-03T17:01:51.878Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1767458156731/renaissance-movie-lens_0"; \
[2026-01-03T17:01:51.878Z] echo ""; echo "TESTING:"; \
[2026-01-03T17:01:51.878Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1767458156731/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-03T17:01:51.878Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1767458156731/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-03T17:01:51.878Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-03T17:01:51.878Z] echo "Nothing to be done for teardown."; \
[2026-01-03T17:01:51.878Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1767458156731/TestTargetResult";
[2026-01-03T17:01:51.878Z]
[2026-01-03T17:01:51.878Z] TEST SETUP:
[2026-01-03T17:01:51.878Z] Nothing to be done for setup.
[2026-01-03T17:01:51.878Z]
[2026-01-03T17:01:51.878Z] TESTING:
[2026-01-03T17:01:52.835Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-03T17:01:52.835Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_1767458156731/renaissance-movie-lens_0/launcher-170151-11646539538310762216/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-03T17:01:52.835Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-03T17:01:52.835Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-03T17:01:59.579Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-03T17:02:11.175Z] 17:02:09.487 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.
[2026-01-03T17:02:13.144Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-03T17:02:13.144Z] Training: 60056, validation: 20285, test: 19854
[2026-01-03T17:02:13.144Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-03T17:02:13.144Z] GC before operation: completed in 147.826 ms, heap usage 406.223 MB -> 75.972 MB.
[2026-01-03T17:02:21.401Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:02:26.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:02:31.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:02:35.436Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:02:37.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:02:39.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:02:41.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:02:44.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:02:44.746Z] 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.
[2026-01-03T17:02:44.746Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:02:44.746Z] Top recommended movies for user id 72:
[2026-01-03T17:02:44.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:02:44.746Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:02:44.746Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:02:44.746Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:02:44.746Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:02:44.746Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31270.421 ms) ======
[2026-01-03T17:02:44.746Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-03T17:02:44.746Z] GC before operation: completed in 171.342 ms, heap usage 105.872 MB -> 86.383 MB.
[2026-01-03T17:02:48.936Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:02:51.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:02:55.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:02:58.038Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:03:00.004Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:03:01.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:03:03.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:03:05.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:03:05.907Z] 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.
[2026-01-03T17:03:05.907Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:03:05.907Z] Top recommended movies for user id 72:
[2026-01-03T17:03:05.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:03:05.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:03:05.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:03:05.907Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:03:05.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:03:05.907Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20947.642 ms) ======
[2026-01-03T17:03:05.907Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-03T17:03:05.907Z] GC before operation: completed in 212.144 ms, heap usage 483.619 MB -> 89.047 MB.
[2026-01-03T17:03:08.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:03:11.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:03:15.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:03:18.091Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:03:20.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:03:22.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:03:22.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:03:24.956Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:03:24.956Z] 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.
[2026-01-03T17:03:24.956Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:03:24.956Z] Top recommended movies for user id 72:
[2026-01-03T17:03:24.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:03:24.956Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:03:24.956Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:03:24.956Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:03:24.956Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:03:24.956Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19335.444 ms) ======
[2026-01-03T17:03:24.956Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-03T17:03:25.913Z] GC before operation: completed in 161.481 ms, heap usage 408.101 MB -> 89.410 MB.
[2026-01-03T17:03:28.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:03:31.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:03:33.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:03:36.622Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:03:38.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:03:39.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:03:41.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:03:43.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:03:43.479Z] 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.
[2026-01-03T17:03:43.479Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:03:43.479Z] Top recommended movies for user id 72:
[2026-01-03T17:03:43.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:03:43.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:03:43.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:03:43.479Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:03:43.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:03:43.479Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17981.895 ms) ======
[2026-01-03T17:03:43.479Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-03T17:03:43.479Z] GC before operation: completed in 158.973 ms, heap usage 280.241 MB -> 89.673 MB.
[2026-01-03T17:03:46.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:03:49.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:03:52.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:03:54.527Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:03:56.497Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:03:58.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:03:59.415Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:04:01.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:04:01.380Z] 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.
[2026-01-03T17:04:01.380Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:04:01.380Z] Top recommended movies for user id 72:
[2026-01-03T17:04:01.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:04:01.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:04:01.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:04:01.380Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:04:01.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:04:01.380Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18058.058 ms) ======
[2026-01-03T17:04:01.380Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-03T17:04:02.339Z] GC before operation: completed in 174.395 ms, heap usage 432.042 MB -> 89.845 MB.
[2026-01-03T17:04:05.370Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:04:07.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:04:10.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:04:13.412Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:04:14.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:04:16.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:04:18.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:04:19.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:04:19.960Z] 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.
[2026-01-03T17:04:19.960Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:04:19.960Z] Top recommended movies for user id 72:
[2026-01-03T17:04:19.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:04:19.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:04:19.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:04:19.960Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:04:19.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:04:19.960Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18269.988 ms) ======
[2026-01-03T17:04:19.960Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-03T17:04:19.960Z] GC before operation: completed in 148.718 ms, heap usage 486.004 MB -> 90.333 MB.
[2026-01-03T17:04:23.005Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:04:26.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:04:29.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:04:31.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:04:33.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:04:34.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:04:36.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:04:36.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:04:37.932Z] 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.
[2026-01-03T17:04:37.932Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:04:37.932Z] Top recommended movies for user id 72:
[2026-01-03T17:04:37.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:04:37.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:04:37.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:04:37.932Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:04:37.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:04:37.932Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17381.758 ms) ======
[2026-01-03T17:04:37.932Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-03T17:04:37.932Z] GC before operation: completed in 145.365 ms, heap usage 456.479 MB -> 90.170 MB.
[2026-01-03T17:04:41.062Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:04:43.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:04:46.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:04:48.035Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:04:50.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:04:51.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:04:52.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:04:54.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:04:54.894Z] 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.
[2026-01-03T17:04:54.894Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:04:54.894Z] Top recommended movies for user id 72:
[2026-01-03T17:04:54.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:04:54.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:04:54.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:04:54.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:04:54.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:04:54.894Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17131.259 ms) ======
[2026-01-03T17:04:54.894Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-03T17:04:54.894Z] GC before operation: completed in 161.626 ms, heap usage 292.559 MB -> 90.197 MB.
[2026-01-03T17:04:57.936Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:05:00.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:05:02.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:05:05.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:05:07.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:05:08.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:05:11.582Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:05:12.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:05:12.545Z] 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.
[2026-01-03T17:05:12.545Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:05:12.545Z] Top recommended movies for user id 72:
[2026-01-03T17:05:12.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:05:12.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:05:12.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:05:12.545Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:05:12.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:05:12.545Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17494.843 ms) ======
[2026-01-03T17:05:12.545Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-03T17:05:12.545Z] GC before operation: completed in 186.086 ms, heap usage 362.028 MB -> 90.158 MB.
[2026-01-03T17:05:15.577Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:05:18.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:05:20.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:05:23.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:05:24.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:05:26.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:05:28.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:05:29.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:05:30.428Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T17:05:30.428Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:05:30.428Z] Top recommended movies for user id 72:
[2026-01-03T17:05:30.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:05:30.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:05:30.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:05:30.428Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:05:30.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:05:30.428Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17233.463 ms) ======
[2026-01-03T17:05:30.428Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-03T17:05:30.428Z] GC before operation: completed in 154.811 ms, heap usage 119.421 MB -> 89.981 MB.
[2026-01-03T17:05:33.471Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:05:35.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:05:38.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:05:40.473Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:05:42.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:05:44.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:05:46.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:05:47.353Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:05:47.353Z] 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.
[2026-01-03T17:05:47.353Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:05:48.311Z] Top recommended movies for user id 72:
[2026-01-03T17:05:48.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:05:48.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:05:48.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:05:48.311Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:05:48.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:05:48.311Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17604.911 ms) ======
[2026-01-03T17:05:48.311Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-03T17:05:48.311Z] GC before operation: completed in 170.488 ms, heap usage 295.091 MB -> 89.952 MB.
[2026-01-03T17:05:51.352Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:05:53.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:05:56.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:05:58.332Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:06:00.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:06:02.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:06:03.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:06:05.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:06:05.084Z] 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.
[2026-01-03T17:06:05.084Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:06:05.084Z] Top recommended movies for user id 72:
[2026-01-03T17:06:05.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:06:05.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:06:05.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:06:05.084Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:06:05.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:06:05.084Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17360.217 ms) ======
[2026-01-03T17:06:05.084Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-03T17:06:06.042Z] GC before operation: completed in 153.344 ms, heap usage 382.921 MB -> 90.243 MB.
[2026-01-03T17:06:08.010Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:06:11.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:06:14.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:06:16.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:06:18.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:06:19.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:06:20.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:06:22.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:06:22.935Z] 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.
[2026-01-03T17:06:22.935Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:06:22.935Z] Top recommended movies for user id 72:
[2026-01-03T17:06:22.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:06:22.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:06:22.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:06:22.935Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:06:22.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:06:22.935Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17569.726 ms) ======
[2026-01-03T17:06:22.935Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-03T17:06:22.935Z] GC before operation: completed in 158.609 ms, heap usage 116.623 MB -> 90.034 MB.
[2026-01-03T17:06:25.973Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:06:29.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:06:30.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:06:34.053Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:06:36.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:06:36.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:06:38.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:06:39.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:06:39.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-03T17:06:39.917Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:06:39.917Z] Top recommended movies for user id 72:
[2026-01-03T17:06:39.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:06:39.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:06:39.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:06:39.917Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:06:39.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:06:39.917Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17030.936 ms) ======
[2026-01-03T17:06:39.917Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-03T17:06:40.875Z] GC before operation: completed in 173.062 ms, heap usage 207.725 MB -> 89.959 MB.
[2026-01-03T17:06:42.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:06:45.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:06:48.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:06:51.597Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:06:52.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:06:54.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:06:55.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:06:57.476Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:06:57.476Z] 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.
[2026-01-03T17:06:57.477Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:06:57.477Z] Top recommended movies for user id 72:
[2026-01-03T17:06:57.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:06:57.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:06:57.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:06:57.477Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:06:57.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:06:57.477Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17135.654 ms) ======
[2026-01-03T17:06:57.477Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-03T17:06:57.477Z] GC before operation: completed in 171.210 ms, heap usage 466.258 MB -> 90.634 MB.
[2026-01-03T17:07:00.517Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:07:03.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:07:05.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:07:08.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:07:10.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:07:11.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:07:13.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:07:14.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:07:15.395Z] 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.
[2026-01-03T17:07:15.395Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:07:15.395Z] Top recommended movies for user id 72:
[2026-01-03T17:07:15.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:07:15.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:07:15.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:07:15.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:07:15.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:07:15.395Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17420.665 ms) ======
[2026-01-03T17:07:15.395Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-03T17:07:15.395Z] GC before operation: completed in 161.503 ms, heap usage 407.088 MB -> 90.248 MB.
[2026-01-03T17:07:18.431Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:07:20.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:07:23.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:07:26.477Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:07:27.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:07:29.411Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:07:30.372Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:07:32.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:07:32.344Z] 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.
[2026-01-03T17:07:32.344Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:07:32.344Z] Top recommended movies for user id 72:
[2026-01-03T17:07:32.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:07:32.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:07:32.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:07:32.344Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:07:32.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:07:32.344Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17388.107 ms) ======
[2026-01-03T17:07:32.344Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-03T17:07:33.298Z] GC before operation: completed in 172.179 ms, heap usage 377.076 MB -> 90.345 MB.
[2026-01-03T17:07:35.265Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:07:38.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:07:42.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:07:44.008Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:07:44.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:07:46.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:07:48.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:07:49.876Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:07:49.876Z] 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.
[2026-01-03T17:07:50.830Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:07:50.830Z] Top recommended movies for user id 72:
[2026-01-03T17:07:50.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:07:50.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:07:50.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:07:50.830Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:07:50.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:07:50.830Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17586.511 ms) ======
[2026-01-03T17:07:50.830Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-03T17:07:50.830Z] GC before operation: completed in 237.598 ms, heap usage 430.704 MB -> 90.301 MB.
[2026-01-03T17:07:54.375Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:07:57.214Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:08:02.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:08:02.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:08:02.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:08:05.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:08:06.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:08:07.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:08:07.973Z] 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.
[2026-01-03T17:08:07.973Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:08:07.973Z] Top recommended movies for user id 72:
[2026-01-03T17:08:07.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:08:07.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:08:07.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:08:07.973Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:08:07.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:08:07.973Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17066.272 ms) ======
[2026-01-03T17:08:07.973Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-03T17:08:07.973Z] GC before operation: completed in 154.884 ms, heap usage 119.129 MB -> 92.766 MB.
[2026-01-03T17:08:11.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-03T17:08:12.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-03T17:08:14.947Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-03T17:08:17.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-03T17:08:18.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-03T17:08:20.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-03T17:08:22.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-03T17:08:23.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-03T17:08:24.774Z] 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.
[2026-01-03T17:08:24.774Z] The best model improves the baseline by 14.52%.
[2026-01-03T17:08:24.774Z] Top recommended movies for user id 72:
[2026-01-03T17:08:24.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-03T17:08:24.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-03T17:08:24.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-03T17:08:24.774Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-03T17:08:24.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-03T17:08:24.774Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16522.631 ms) ======
[2026-01-03T17:08:25.732Z] -----------------------------------
[2026-01-03T17:08:25.732Z] renaissance-movie-lens_0_PASSED
[2026-01-03T17:08:25.732Z] -----------------------------------
[2026-01-03T17:08:25.732Z]
[2026-01-03T17:08:25.732Z] TEST TEARDOWN:
[2026-01-03T17:08:25.732Z] Nothing to be done for teardown.
[2026-01-03T17:08:25.732Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 17:08:25 2026 Epoch Time (ms): 1767460105018