renaissance-movie-lens_0
[2026-04-13T21:47:53.269Z] Running test renaissance-movie-lens_0 ...
[2026-04-13T21:47:53.269Z] ===============================================
[2026-04-13T21:47:53.269Z] renaissance-movie-lens_0 Start Time: Mon Apr 13 17:47:53 2026 Epoch Time (ms): 1776116873071
[2026-04-13T21:47:53.269Z] variation: NoOptions
[2026-04-13T21:47:53.269Z] JVM_OPTIONS:
[2026-04-13T21:47:53.269Z] { \
[2026-04-13T21:47:53.269Z] echo ""; echo "TEST SETUP:"; \
[2026-04-13T21:47:53.269Z] echo "Nothing to be done for setup."; \
[2026-04-13T21:47:53.269Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761165392203/renaissance-movie-lens_0"; \
[2026-04-13T21:47:53.269Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761165392203/renaissance-movie-lens_0"; \
[2026-04-13T21:47:53.269Z] echo ""; echo "TESTING:"; \
[2026-04-13T21:47:53.270Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761165392203/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-13T21:47:53.270Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761165392203/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-13T21:47:53.270Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-13T21:47:53.270Z] echo "Nothing to be done for teardown."; \
[2026-04-13T21:47:53.270Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761165392203/TestTargetResult";
[2026-04-13T21:47:53.270Z]
[2026-04-13T21:47:53.270Z] TEST SETUP:
[2026-04-13T21:47:53.270Z] Nothing to be done for setup.
[2026-04-13T21:47:53.270Z]
[2026-04-13T21:47:53.270Z] TESTING:
[2026-04-13T21:47:53.617Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-13T21:47:53.617Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17761165392203/renaissance-movie-lens_0/launcher-174753-2048939259739542094/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-13T21:47:53.617Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-13T21:47:53.617Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-13T21:47:57.542Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-13T21:48:02.494Z] 17:48:01.700 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-04-13T21:48:03.273Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-13T21:48:03.273Z] Training: 60056, validation: 20285, test: 19854
[2026-04-13T21:48:03.273Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-13T21:48:03.622Z] GC before operation: completed in 86.218 ms, heap usage 261.933 MB -> 75.857 MB.
[2026-04-13T21:48:07.582Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:48:09.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:48:12.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:48:14.124Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:48:15.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:48:16.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:48:17.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:48:19.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:48:19.065Z] 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.
[2026-04-13T21:48:19.413Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:48:19.413Z] Top recommended movies for user id 72:
[2026-04-13T21:48:19.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:48:19.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:48:19.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:48:19.413Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:48:19.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:48:19.413Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15930.932 ms) ======
[2026-04-13T21:48:19.413Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-13T21:48:19.413Z] GC before operation: completed in 83.503 ms, heap usage 418.077 MB -> 87.911 MB.
[2026-04-13T21:48:21.799Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:48:23.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:48:25.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:48:27.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:48:28.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:48:30.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:48:31.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:48:32.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:48:32.943Z] 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.
[2026-04-13T21:48:32.943Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:48:32.943Z] Top recommended movies for user id 72:
[2026-04-13T21:48:32.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:48:32.943Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:48:32.943Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:48:32.943Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:48:32.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:48:32.943Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (13518.254 ms) ======
[2026-04-13T21:48:32.943Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-13T21:48:32.943Z] GC before operation: completed in 61.162 ms, heap usage 121.712 MB -> 88.533 MB.
[2026-04-13T21:48:35.323Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:48:37.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:48:39.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:48:41.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:48:42.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:48:43.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:48:44.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:48:46.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:48:46.203Z] 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.
[2026-04-13T21:48:46.203Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:48:46.203Z] Top recommended movies for user id 72:
[2026-04-13T21:48:46.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:48:46.203Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:48:46.203Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:48:46.203Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:48:46.203Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:48:46.203Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13290.578 ms) ======
[2026-04-13T21:48:46.203Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-13T21:48:46.559Z] GC before operation: completed in 80.064 ms, heap usage 471.358 MB -> 89.822 MB.
[2026-04-13T21:48:48.971Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:48:50.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:48:52.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:48:54.848Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:48:55.626Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:48:56.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:48:58.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:48:59.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:48:59.307Z] 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.
[2026-04-13T21:48:59.307Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:48:59.307Z] Top recommended movies for user id 72:
[2026-04-13T21:48:59.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:48:59.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:48:59.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:48:59.307Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:48:59.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:48:59.307Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13021.571 ms) ======
[2026-04-13T21:48:59.307Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-13T21:48:59.655Z] GC before operation: completed in 67.293 ms, heap usage 112.191 MB -> 89.605 MB.
[2026-04-13T21:49:01.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:49:03.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:49:05.573Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:49:07.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:49:08.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:49:09.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:49:10.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:49:11.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:49:11.799Z] 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.
[2026-04-13T21:49:12.148Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:49:12.148Z] Top recommended movies for user id 72:
[2026-04-13T21:49:12.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:49:12.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:49:12.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:49:12.148Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:49:12.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:49:12.148Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12531.627 ms) ======
[2026-04-13T21:49:12.148Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-13T21:49:12.148Z] GC before operation: completed in 72.311 ms, heap usage 171.195 MB -> 89.664 MB.
[2026-04-13T21:49:13.909Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:49:16.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:49:18.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:49:19.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:49:20.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:49:21.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:49:23.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:49:23.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:49:23.861Z] 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.
[2026-04-13T21:49:23.861Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:49:24.210Z] Top recommended movies for user id 72:
[2026-04-13T21:49:24.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:49:24.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:49:24.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:49:24.210Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:49:24.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:49:24.210Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11959.203 ms) ======
[2026-04-13T21:49:24.210Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-13T21:49:24.210Z] GC before operation: completed in 71.047 ms, heap usage 241.032 MB -> 90.065 MB.
[2026-04-13T21:49:25.967Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:49:27.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:49:28.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:49:30.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:49:31.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:49:32.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:49:33.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:49:35.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:49:35.279Z] 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.
[2026-04-13T21:49:35.279Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:49:35.279Z] Top recommended movies for user id 72:
[2026-04-13T21:49:35.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:49:35.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:49:35.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:49:35.279Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:49:35.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:49:35.279Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11264.517 ms) ======
[2026-04-13T21:49:35.279Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-13T21:49:35.640Z] GC before operation: completed in 73.460 ms, heap usage 515.089 MB -> 90.370 MB.
[2026-04-13T21:49:37.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:49:39.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:49:41.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:49:42.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:49:44.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:49:45.245Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:49:46.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:49:47.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:49:47.223Z] 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.
[2026-04-13T21:49:47.223Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:49:47.582Z] Top recommended movies for user id 72:
[2026-04-13T21:49:47.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:49:47.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:49:47.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:49:47.582Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:49:47.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:49:47.582Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11941.286 ms) ======
[2026-04-13T21:49:47.582Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-13T21:49:47.582Z] GC before operation: completed in 78.412 ms, heap usage 268.105 MB -> 90.160 MB.
[2026-04-13T21:49:49.332Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:49:51.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:49:52.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:49:54.078Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:49:55.293Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:49:56.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:49:57.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:49:58.031Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:49:58.403Z] 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.
[2026-04-13T21:49:58.403Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:49:58.403Z] Top recommended movies for user id 72:
[2026-04-13T21:49:58.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:49:58.403Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:49:58.403Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:49:58.403Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:49:58.403Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:49:58.403Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10884.512 ms) ======
[2026-04-13T21:49:58.403Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-13T21:49:58.403Z] GC before operation: completed in 78.852 ms, heap usage 420.356 MB -> 90.282 MB.
[2026-04-13T21:50:00.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:50:01.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:50:03.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:50:05.436Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:50:06.649Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:50:07.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:50:08.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:50:09.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:50:09.879Z] 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.
[2026-04-13T21:50:09.879Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:50:10.228Z] Top recommended movies for user id 72:
[2026-04-13T21:50:10.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:50:10.228Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:50:10.228Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:50:10.228Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:50:10.228Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:50:10.228Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11615.578 ms) ======
[2026-04-13T21:50:10.228Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-13T21:50:10.228Z] GC before operation: completed in 72.525 ms, heap usage 162.484 MB -> 92.293 MB.
[2026-04-13T21:50:11.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:50:13.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:50:16.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:50:17.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:50:18.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:50:19.874Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:50:20.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:50:21.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:50:21.962Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-13T21:50:21.962Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:50:21.962Z] Top recommended movies for user id 72:
[2026-04-13T21:50:21.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:50:21.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:50:21.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:50:21.962Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:50:21.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:50:21.962Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11877.024 ms) ======
[2026-04-13T21:50:21.962Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-13T21:50:21.962Z] GC before operation: completed in 66.235 ms, heap usage 425.002 MB -> 90.292 MB.
[2026-04-13T21:50:24.354Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:50:26.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:50:27.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:50:29.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:50:30.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:50:32.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:50:32.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:50:34.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:50:34.473Z] 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.
[2026-04-13T21:50:34.474Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:50:34.474Z] Top recommended movies for user id 72:
[2026-04-13T21:50:34.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:50:34.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:50:34.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:50:34.474Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:50:34.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:50:34.474Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12325.033 ms) ======
[2026-04-13T21:50:34.474Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-13T21:50:34.474Z] GC before operation: completed in 79.213 ms, heap usage 843.891 MB -> 94.685 MB.
[2026-04-13T21:50:36.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:50:38.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:50:40.381Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:50:42.133Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:50:43.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:50:44.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:50:45.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:50:47.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:50:47.087Z] 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.
[2026-04-13T21:50:47.087Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:50:47.087Z] Top recommended movies for user id 72:
[2026-04-13T21:50:47.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:50:47.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:50:47.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:50:47.087Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:50:47.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:50:47.087Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12627.970 ms) ======
[2026-04-13T21:50:47.087Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-13T21:50:47.087Z] GC before operation: completed in 70.899 ms, heap usage 178.850 MB -> 90.206 MB.
[2026-04-13T21:50:49.486Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:50:50.699Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:50:53.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:50:54.855Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:50:56.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:50:56.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:50:58.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:50:59.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:50:59.339Z] 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.
[2026-04-13T21:50:59.688Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:50:59.688Z] Top recommended movies for user id 72:
[2026-04-13T21:50:59.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:50:59.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:50:59.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:50:59.688Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:50:59.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:50:59.688Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12390.847 ms) ======
[2026-04-13T21:50:59.688Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-13T21:50:59.688Z] GC before operation: completed in 72.346 ms, heap usage 123.479 MB -> 92.754 MB.
[2026-04-13T21:51:01.460Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:51:03.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:51:05.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:51:07.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:51:08.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:51:09.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:51:10.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:51:11.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:51:12.258Z] 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.
[2026-04-13T21:51:12.258Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:51:12.258Z] Top recommended movies for user id 72:
[2026-04-13T21:51:12.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:51:12.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:51:12.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:51:12.258Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:51:12.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:51:12.258Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12483.776 ms) ======
[2026-04-13T21:51:12.258Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-13T21:51:12.258Z] GC before operation: completed in 83.756 ms, heap usage 296.957 MB -> 90.445 MB.
[2026-04-13T21:51:14.031Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:51:16.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:51:18.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:51:19.952Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:51:21.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:51:21.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:51:23.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:51:24.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:51:24.381Z] 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.
[2026-04-13T21:51:24.381Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:51:24.381Z] Top recommended movies for user id 72:
[2026-04-13T21:51:24.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:51:24.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:51:24.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:51:24.381Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:51:24.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:51:24.381Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12128.941 ms) ======
[2026-04-13T21:51:24.381Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-13T21:51:24.381Z] GC before operation: completed in 81.124 ms, heap usage 286.099 MB -> 90.362 MB.
[2026-04-13T21:51:26.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:51:28.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:51:30.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:51:32.056Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:51:33.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:51:34.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:51:35.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:51:36.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:51:36.471Z] 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.
[2026-04-13T21:51:36.471Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:51:36.471Z] Top recommended movies for user id 72:
[2026-04-13T21:51:36.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:51:36.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:51:36.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:51:36.471Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:51:36.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:51:36.471Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12008.662 ms) ======
[2026-04-13T21:51:36.471Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-13T21:51:36.471Z] GC before operation: completed in 78.634 ms, heap usage 506.483 MB -> 90.737 MB.
[2026-04-13T21:51:38.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:51:40.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:51:41.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:51:43.019Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:51:44.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:51:45.462Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:51:46.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:51:47.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:51:47.465Z] 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.
[2026-04-13T21:51:47.465Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:51:47.465Z] Top recommended movies for user id 72:
[2026-04-13T21:51:47.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:51:47.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:51:47.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:51:47.465Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:51:47.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:51:47.465Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11046.681 ms) ======
[2026-04-13T21:51:47.465Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-13T21:51:47.820Z] GC before operation: completed in 75.006 ms, heap usage 157.487 MB -> 90.008 MB.
[2026-04-13T21:51:49.591Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:51:51.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:51:53.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:51:54.367Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:51:55.587Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:51:56.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:51:58.014Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:51:59.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:51:59.260Z] 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.
[2026-04-13T21:51:59.260Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:51:59.260Z] Top recommended movies for user id 72:
[2026-04-13T21:51:59.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:51:59.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:51:59.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:51:59.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:51:59.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:51:59.260Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11566.178 ms) ======
[2026-04-13T21:51:59.260Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-13T21:51:59.260Z] GC before operation: completed in 72.323 ms, heap usage 210.282 MB -> 90.085 MB.
[2026-04-13T21:52:01.644Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-13T21:52:03.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-13T21:52:05.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-13T21:52:06.917Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-13T21:52:07.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-13T21:52:08.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-13T21:52:10.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-13T21:52:11.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-13T21:52:11.368Z] 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.
[2026-04-13T21:52:11.368Z] The best model improves the baseline by 14.52%.
[2026-04-13T21:52:11.368Z] Top recommended movies for user id 72:
[2026-04-13T21:52:11.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-13T21:52:11.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-13T21:52:11.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-13T21:52:11.368Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-13T21:52:11.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-13T21:52:11.368Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12195.389 ms) ======
[2026-04-13T21:52:11.716Z] -----------------------------------
[2026-04-13T21:52:11.716Z] renaissance-movie-lens_0_PASSED
[2026-04-13T21:52:11.716Z] -----------------------------------
[2026-04-13T21:52:11.716Z]
[2026-04-13T21:52:11.716Z] TEST TEARDOWN:
[2026-04-13T21:52:11.716Z] Nothing to be done for teardown.
[2026-04-13T21:52:11.716Z] renaissance-movie-lens_0 Finish Time: Mon Apr 13 17:52:11 2026 Epoch Time (ms): 1776117131634