renaissance-movie-lens_0
[2026-04-21T22:19:21.413Z] Running test renaissance-movie-lens_0 ...
[2026-04-21T22:19:21.413Z] ===============================================
[2026-04-21T22:19:21.413Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 18:19:21 2026 Epoch Time (ms): 1776809961057
[2026-04-21T22:19:21.413Z] variation: NoOptions
[2026-04-21T22:19:21.413Z] JVM_OPTIONS:
[2026-04-21T22:19:21.413Z] { \
[2026-04-21T22:19:21.413Z] echo ""; echo "TEST SETUP:"; \
[2026-04-21T22:19:21.413Z] echo "Nothing to be done for setup."; \
[2026-04-21T22:19:21.413Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096418697/renaissance-movie-lens_0"; \
[2026-04-21T22:19:21.413Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096418697/renaissance-movie-lens_0"; \
[2026-04-21T22:19:21.413Z] echo ""; echo "TESTING:"; \
[2026-04-21T22:19:21.413Z] "/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_17768096418697/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-21T22:19:21.413Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096418697/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-21T22:19:21.413Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-21T22:19:21.413Z] echo "Nothing to be done for teardown."; \
[2026-04-21T22:19:21.413Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096418697/TestTargetResult";
[2026-04-21T22:19:21.413Z]
[2026-04-21T22:19:21.413Z] TEST SETUP:
[2026-04-21T22:19:21.413Z] Nothing to be done for setup.
[2026-04-21T22:19:21.413Z]
[2026-04-21T22:19:21.413Z] TESTING:
[2026-04-21T22:19:21.413Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-21T22:19:21.413Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17768096418697/renaissance-movie-lens_0/launcher-181921-13809587574670222173/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-21T22:19:21.413Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-21T22:19:21.413Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-21T22:19:23.799Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-21T22:19:26.211Z] 18:19:25.990 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.
[2026-04-21T22:19:27.025Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-21T22:19:27.025Z] Training: 60056, validation: 20285, test: 19854
[2026-04-21T22:19:27.025Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-21T22:19:27.025Z] GC before operation: completed in 45.537 ms, heap usage 265.354 MB -> 75.870 MB.
[2026-04-21T22:19:29.531Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:19:30.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:19:32.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:19:34.026Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:19:34.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:19:35.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:19:36.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:19:37.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:19:37.242Z] 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.
[2026-04-21T22:19:37.612Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:19:37.612Z] Top recommended movies for user id 72:
[2026-04-21T22:19:37.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:19:37.612Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:19:37.612Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:19:37.612Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:19:37.612Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:19:37.612Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (10330.104 ms) ======
[2026-04-21T22:19:37.612Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-21T22:19:37.612Z] GC before operation: completed in 50.646 ms, heap usage 123.605 MB -> 86.342 MB.
[2026-04-21T22:19:38.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:19:40.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:19:41.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:19:42.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:19:43.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:19:44.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:19:45.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:19:46.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:19:46.574Z] 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.
[2026-04-21T22:19:46.574Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:19:46.574Z] Top recommended movies for user id 72:
[2026-04-21T22:19:46.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:19:46.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:19:46.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:19:46.574Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:19:46.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:19:46.574Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9064.497 ms) ======
[2026-04-21T22:19:46.574Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-21T22:19:46.574Z] GC before operation: completed in 70.615 ms, heap usage 120.801 MB -> 90.075 MB.
[2026-04-21T22:19:48.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:19:49.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:19:51.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:19:52.700Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:19:53.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:19:54.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:19:55.433Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:19:56.739Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:19:56.739Z] 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.
[2026-04-21T22:19:56.739Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:19:56.739Z] Top recommended movies for user id 72:
[2026-04-21T22:19:56.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:19:56.739Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:19:56.739Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:19:56.739Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:19:56.739Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:19:56.739Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9911.166 ms) ======
[2026-04-21T22:19:56.739Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-21T22:19:56.739Z] GC before operation: completed in 54.914 ms, heap usage 384.203 MB -> 89.477 MB.
[2026-04-21T22:19:58.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:19:59.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:20:01.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:20:03.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:20:03.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:20:05.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:20:05.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:20:07.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:20:07.168Z] 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.
[2026-04-21T22:20:07.168Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:20:07.168Z] Top recommended movies for user id 72:
[2026-04-21T22:20:07.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:20:07.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:20:07.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:20:07.168Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:20:07.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:20:07.168Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10413.464 ms) ======
[2026-04-21T22:20:07.168Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-21T22:20:07.168Z] GC before operation: completed in 75.495 ms, heap usage 474.484 MB -> 89.945 MB.
[2026-04-21T22:20:08.635Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:20:10.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:20:11.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:20:13.780Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:20:14.604Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:20:15.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:20:16.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:20:18.110Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:20:18.110Z] 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.
[2026-04-21T22:20:18.110Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:20:18.110Z] Top recommended movies for user id 72:
[2026-04-21T22:20:18.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:20:18.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:20:18.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:20:18.110Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:20:18.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:20:18.110Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10978.221 ms) ======
[2026-04-21T22:20:18.110Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-21T22:20:18.110Z] GC before operation: completed in 69.416 ms, heap usage 418.350 MB -> 89.895 MB.
[2026-04-21T22:20:19.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:20:21.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:20:23.654Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:20:25.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:20:26.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:20:27.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:20:28.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:20:30.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:20:30.268Z] 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.
[2026-04-21T22:20:30.268Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:20:31.199Z] Top recommended movies for user id 72:
[2026-04-21T22:20:31.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:20:31.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:20:31.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:20:31.199Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:20:31.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:20:31.199Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11662.887 ms) ======
[2026-04-21T22:20:31.199Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-21T22:20:31.199Z] GC before operation: completed in 88.647 ms, heap usage 346.453 MB -> 90.114 MB.
[2026-04-21T22:20:32.129Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:20:33.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:20:35.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:20:37.142Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:20:38.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:20:39.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:20:40.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:20:41.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:20:41.925Z] 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.
[2026-04-21T22:20:41.925Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:20:41.925Z] Top recommended movies for user id 72:
[2026-04-21T22:20:41.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:20:41.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:20:41.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:20:41.925Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:20:41.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:20:41.925Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11982.989 ms) ======
[2026-04-21T22:20:41.925Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-21T22:20:41.925Z] GC before operation: completed in 66.728 ms, heap usage 259.343 MB -> 89.951 MB.
[2026-04-21T22:20:43.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:20:45.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:20:47.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:20:48.681Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:20:49.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:20:50.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:20:51.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:20:52.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:20:52.774Z] 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.
[2026-04-21T22:20:52.774Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:20:53.146Z] Top recommended movies for user id 72:
[2026-04-21T22:20:53.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:20:53.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:20:53.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:20:53.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:20:53.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:20:53.146Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10986.478 ms) ======
[2026-04-21T22:20:53.146Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-21T22:20:53.146Z] GC before operation: completed in 83.576 ms, heap usage 429.832 MB -> 90.461 MB.
[2026-04-21T22:20:54.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:20:56.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:20:58.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:20:59.353Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:21:01.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:21:01.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:21:03.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:21:04.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:21:04.520Z] 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.
[2026-04-21T22:21:04.520Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:21:04.896Z] Top recommended movies for user id 72:
[2026-04-21T22:21:04.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:21:04.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:21:04.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:21:04.896Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:21:04.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:21:04.896Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11697.512 ms) ======
[2026-04-21T22:21:04.896Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-21T22:21:04.896Z] GC before operation: completed in 95.901 ms, heap usage 456.312 MB -> 90.203 MB.
[2026-04-21T22:21:06.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:21:08.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:21:10.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:21:11.897Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:21:12.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:21:13.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:21:15.113Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:21:16.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:21:16.102Z] 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.
[2026-04-21T22:21:16.102Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:21:16.476Z] Top recommended movies for user id 72:
[2026-04-21T22:21:16.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:21:16.476Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:21:16.476Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:21:16.476Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:21:16.476Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:21:16.476Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11400.466 ms) ======
[2026-04-21T22:21:16.476Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-21T22:21:16.476Z] GC before operation: completed in 68.416 ms, heap usage 148.047 MB -> 92.069 MB.
[2026-04-21T22:21:18.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:21:20.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:21:21.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:21:23.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:21:24.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:21:25.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:21:26.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:21:27.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:21:27.869Z] 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.
[2026-04-21T22:21:27.869Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:21:27.869Z] Top recommended movies for user id 72:
[2026-04-21T22:21:27.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:21:27.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:21:27.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:21:27.869Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:21:27.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:21:27.869Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11509.431 ms) ======
[2026-04-21T22:21:27.869Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-21T22:21:27.869Z] GC before operation: completed in 76.896 ms, heap usage 366.867 MB -> 90.057 MB.
[2026-04-21T22:21:29.758Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:21:31.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:21:33.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:21:34.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:21:36.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:21:36.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:21:38.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:21:39.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:21:39.446Z] 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.
[2026-04-21T22:21:39.446Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:21:39.446Z] Top recommended movies for user id 72:
[2026-04-21T22:21:39.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:21:39.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:21:39.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:21:39.446Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:21:39.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:21:39.446Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11526.120 ms) ======
[2026-04-21T22:21:39.446Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-21T22:21:39.446Z] GC before operation: completed in 81.864 ms, heap usage 353.036 MB -> 90.325 MB.
[2026-04-21T22:21:41.302Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:21:42.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:21:44.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:21:45.562Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:21:46.821Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:21:47.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:21:48.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:21:49.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:21:49.749Z] 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.
[2026-04-21T22:21:49.749Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:21:49.749Z] Top recommended movies for user id 72:
[2026-04-21T22:21:49.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:21:49.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:21:49.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:21:49.749Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:21:49.749Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:21:49.749Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (10331.150 ms) ======
[2026-04-21T22:21:49.749Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-21T22:21:50.133Z] GC before operation: completed in 82.795 ms, heap usage 249.545 MB -> 90.232 MB.
[2026-04-21T22:21:51.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:21:53.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:21:53.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:21:55.692Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:21:56.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:21:57.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:21:57.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:21:58.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:21:59.089Z] 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.
[2026-04-21T22:21:59.089Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:21:59.089Z] Top recommended movies for user id 72:
[2026-04-21T22:21:59.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:21:59.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:21:59.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:21:59.089Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:21:59.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:21:59.089Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9209.882 ms) ======
[2026-04-21T22:21:59.089Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-21T22:21:59.089Z] GC before operation: completed in 63.258 ms, heap usage 227.150 MB -> 90.003 MB.
[2026-04-21T22:22:00.850Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:22:02.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:22:03.293Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:22:04.519Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:22:04.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:22:05.608Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:22:06.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:22:07.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:22:07.130Z] 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.
[2026-04-21T22:22:07.130Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:22:07.130Z] Top recommended movies for user id 72:
[2026-04-21T22:22:07.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:22:07.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:22:07.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:22:07.130Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:22:07.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:22:07.130Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7990.470 ms) ======
[2026-04-21T22:22:07.130Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-21T22:22:07.130Z] GC before operation: completed in 56.958 ms, heap usage 534.039 MB -> 93.849 MB.
[2026-04-21T22:22:08.890Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:22:10.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:22:11.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:22:12.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:22:13.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:22:14.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:22:15.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:22:16.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:22:16.277Z] 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.
[2026-04-21T22:22:16.277Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:22:16.625Z] Top recommended movies for user id 72:
[2026-04-21T22:22:16.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:22:16.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:22:16.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:22:16.625Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:22:16.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:22:16.625Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9212.200 ms) ======
[2026-04-21T22:22:16.625Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-21T22:22:16.625Z] GC before operation: completed in 56.191 ms, heap usage 197.209 MB -> 90.034 MB.
[2026-04-21T22:22:18.386Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:22:20.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:22:21.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:22:23.181Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:22:23.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:22:24.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:22:25.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:22:26.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:22:26.193Z] 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.
[2026-04-21T22:22:26.193Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:22:26.544Z] Top recommended movies for user id 72:
[2026-04-21T22:22:26.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:22:26.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:22:26.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:22:26.544Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:22:26.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:22:26.544Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9893.253 ms) ======
[2026-04-21T22:22:26.544Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-21T22:22:26.544Z] GC before operation: completed in 45.802 ms, heap usage 113.841 MB -> 92.179 MB.
[2026-04-21T22:22:27.762Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:22:29.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:22:30.324Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:22:31.531Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:22:31.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:22:32.639Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:22:33.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:22:34.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:22:34.578Z] 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.
[2026-04-21T22:22:34.578Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:22:34.578Z] Top recommended movies for user id 72:
[2026-04-21T22:22:34.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:22:34.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:22:34.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:22:34.578Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:22:34.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:22:34.578Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8098.034 ms) ======
[2026-04-21T22:22:34.578Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-21T22:22:34.578Z] GC before operation: completed in 72.506 ms, heap usage 119.759 MB -> 92.135 MB.
[2026-04-21T22:22:36.327Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:22:37.546Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:22:38.773Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:22:39.984Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:22:40.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:22:41.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:22:41.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:22:42.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:22:42.554Z] 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.
[2026-04-21T22:22:42.554Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:22:42.554Z] Top recommended movies for user id 72:
[2026-04-21T22:22:42.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:22:42.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:22:42.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:22:42.554Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:22:42.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:22:42.554Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7815.142 ms) ======
[2026-04-21T22:22:42.554Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-21T22:22:42.554Z] GC before operation: completed in 45.663 ms, heap usage 278.482 MB -> 90.274 MB.
[2026-04-21T22:22:43.762Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-21T22:22:44.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-21T22:22:45.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-21T22:22:46.470Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-21T22:22:47.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-21T22:22:47.578Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-21T22:22:48.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-21T22:22:49.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-21T22:22:49.078Z] 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.
[2026-04-21T22:22:49.078Z] The best model improves the baseline by 14.52%.
[2026-04-21T22:22:49.078Z] Top recommended movies for user id 72:
[2026-04-21T22:22:49.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-21T22:22:49.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-21T22:22:49.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-21T22:22:49.078Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-21T22:22:49.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-21T22:22:49.078Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6584.007 ms) ======
[2026-04-21T22:22:49.426Z] -----------------------------------
[2026-04-21T22:22:49.426Z] renaissance-movie-lens_0_PASSED
[2026-04-21T22:22:49.426Z] -----------------------------------
[2026-04-21T22:22:49.426Z]
[2026-04-21T22:22:49.426Z] TEST TEARDOWN:
[2026-04-21T22:22:49.426Z] Nothing to be done for teardown.
[2026-04-21T22:22:49.773Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 18:22:49 2026 Epoch Time (ms): 1776810169383