renaissance-movie-lens_0
[2026-02-08T19:43:57.995Z] Running test renaissance-movie-lens_0 ...
[2026-02-08T19:43:57.995Z] ===============================================
[2026-02-08T19:43:57.995Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 14:43:57 2026 Epoch Time (ms): 1770579837787
[2026-02-08T19:43:57.995Z] variation: NoOptions
[2026-02-08T19:43:57.995Z] JVM_OPTIONS:
[2026-02-08T19:43:57.995Z] { \
[2026-02-08T19:43:57.996Z] echo ""; echo "TEST SETUP:"; \
[2026-02-08T19:43:57.996Z] echo "Nothing to be done for setup."; \
[2026-02-08T19:43:57.996Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1770579444387/renaissance-movie-lens_0"; \
[2026-02-08T19:43:57.996Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1770579444387/renaissance-movie-lens_0"; \
[2026-02-08T19:43:57.996Z] echo ""; echo "TESTING:"; \
[2026-02-08T19:43:57.996Z] "/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_1770579444387/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-08T19:43:57.996Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1770579444387/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-08T19:43:57.996Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-08T19:43:57.996Z] echo "Nothing to be done for teardown."; \
[2026-02-08T19:43:57.996Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1770579444387/TestTargetResult";
[2026-02-08T19:43:57.996Z]
[2026-02-08T19:43:57.996Z] TEST SETUP:
[2026-02-08T19:43:57.996Z] Nothing to be done for setup.
[2026-02-08T19:43:57.996Z]
[2026-02-08T19:43:57.996Z] TESTING:
[2026-02-08T19:43:58.354Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-08T19:43:58.354Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_1770579444387/renaissance-movie-lens_0/launcher-144357-7697230239416639264/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-08T19:43:58.354Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-08T19:43:58.354Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-08T19:44:00.761Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-08T19:44:03.942Z] 14:44:03.262 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-08T19:44:04.305Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-08T19:44:04.305Z] Training: 60056, validation: 20285, test: 19854
[2026-02-08T19:44:04.305Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-08T19:44:04.682Z] GC before operation: completed in 53.467 ms, heap usage 296.682 MB -> 75.836 MB.
[2026-02-08T19:44:07.095Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:44:08.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:44:10.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:44:11.907Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:44:13.154Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:44:13.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:44:14.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:44:15.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:44:15.501Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:44:15.856Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:44:15.856Z] Top recommended movies for user id 72:
[2026-02-08T19:44:15.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:44:15.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:44:15.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:44:15.856Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:44:15.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:44:15.856Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11258.366 ms) ======
[2026-02-08T19:44:15.856Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-08T19:44:15.856Z] GC before operation: completed in 63.351 ms, heap usage 206.918 MB -> 86.461 MB.
[2026-02-08T19:44:17.082Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:44:18.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:44:19.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:44:20.808Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:44:21.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:44:22.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:44:23.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:44:23.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:44:23.883Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:44:24.238Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:44:24.238Z] Top recommended movies for user id 72:
[2026-02-08T19:44:24.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:44:24.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:44:24.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:44:24.238Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:44:24.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:44:24.238Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8272.367 ms) ======
[2026-02-08T19:44:24.238Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-08T19:44:24.238Z] GC before operation: completed in 42.553 ms, heap usage 407.045 MB -> 88.839 MB.
[2026-02-08T19:44:25.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:44:26.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:44:27.579Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:44:28.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:44:30.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:44:30.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:44:31.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:44:32.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:44:32.354Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:44:32.354Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:44:32.354Z] Top recommended movies for user id 72:
[2026-02-08T19:44:32.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:44:32.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:44:32.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:44:32.354Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:44:32.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:44:32.354Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8301.869 ms) ======
[2026-02-08T19:44:32.354Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-08T19:44:32.354Z] GC before operation: completed in 44.927 ms, heap usage 144.482 MB -> 89.332 MB.
[2026-02-08T19:44:34.181Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:44:34.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:44:36.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:44:38.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:44:39.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:44:40.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:44:40.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:44:41.622Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:44:41.622Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:44:41.622Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:44:41.622Z] Top recommended movies for user id 72:
[2026-02-08T19:44:41.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:44:41.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:44:41.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:44:41.622Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:44:41.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:44:41.622Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9234.748 ms) ======
[2026-02-08T19:44:41.622Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-08T19:44:41.622Z] GC before operation: completed in 48.836 ms, heap usage 428.646 MB -> 90.032 MB.
[2026-02-08T19:44:43.416Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:44:44.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:44:46.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:44:47.781Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:44:49.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:44:49.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:44:50.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:44:51.371Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:44:51.762Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:44:51.762Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:44:51.762Z] Top recommended movies for user id 72:
[2026-02-08T19:44:51.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:44:51.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:44:51.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:44:51.762Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:44:51.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:44:51.762Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9899.743 ms) ======
[2026-02-08T19:44:51.762Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-08T19:44:51.762Z] GC before operation: completed in 60.477 ms, heap usage 281.776 MB -> 89.818 MB.
[2026-02-08T19:44:53.576Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:44:55.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:44:56.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:44:57.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:44:58.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:44:59.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:00.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:01.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:01.550Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:01.550Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:01.550Z] Top recommended movies for user id 72:
[2026-02-08T19:45:01.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:01.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:01.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:01.550Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:01.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:01.550Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9828.236 ms) ======
[2026-02-08T19:45:01.550Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-08T19:45:01.550Z] GC before operation: completed in 52.358 ms, heap usage 149.538 MB -> 89.851 MB.
[2026-02-08T19:45:02.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:04.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:45:05.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:45:07.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:45:08.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:45:09.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:10.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:11.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:11.283Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:11.283Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:11.283Z] Top recommended movies for user id 72:
[2026-02-08T19:45:11.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:11.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:11.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:11.283Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:11.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:11.283Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9652.254 ms) ======
[2026-02-08T19:45:11.283Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-08T19:45:11.283Z] GC before operation: completed in 62.011 ms, heap usage 361.997 MB -> 90.098 MB.
[2026-02-08T19:45:12.530Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:14.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:45:15.548Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:45:17.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:45:17.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:45:18.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:19.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:19.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:19.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:19.977Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:20.330Z] Top recommended movies for user id 72:
[2026-02-08T19:45:20.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:20.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:20.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:20.330Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:20.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:20.331Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8851.399 ms) ======
[2026-02-08T19:45:20.331Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-08T19:45:20.331Z] GC before operation: completed in 45.613 ms, heap usage 287.675 MB -> 90.283 MB.
[2026-02-08T19:45:21.579Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:22.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:45:23.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:45:24.881Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:45:25.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:45:26.017Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:26.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:27.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:27.552Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:27.552Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:27.552Z] Top recommended movies for user id 72:
[2026-02-08T19:45:27.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:27.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:27.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:27.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:27.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:27.552Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7257.994 ms) ======
[2026-02-08T19:45:27.552Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-08T19:45:27.552Z] GC before operation: completed in 43.512 ms, heap usage 574.473 MB -> 93.692 MB.
[2026-02-08T19:45:28.778Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:30.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:45:30.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:45:32.051Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:45:32.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:45:33.176Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:33.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:34.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:34.301Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:34.657Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:34.657Z] Top recommended movies for user id 72:
[2026-02-08T19:45:34.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:34.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:34.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:34.657Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:34.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:34.657Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6977.647 ms) ======
[2026-02-08T19:45:34.657Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-08T19:45:34.657Z] GC before operation: completed in 41.178 ms, heap usage 171.309 MB -> 90.089 MB.
[2026-02-08T19:45:35.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:37.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:45:37.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:45:39.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:45:39.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:45:40.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:41.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:41.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:41.818Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:41.818Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:41.818Z] Top recommended movies for user id 72:
[2026-02-08T19:45:41.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:41.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:41.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:41.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:41.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:41.818Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7356.822 ms) ======
[2026-02-08T19:45:41.818Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-08T19:45:41.818Z] GC before operation: completed in 55.413 ms, heap usage 520.947 MB -> 93.643 MB.
[2026-02-08T19:45:43.591Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:44.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:45:45.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:45:46.432Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:45:46.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:45:47.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:48.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:49.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:49.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:49.112Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:49.112Z] Top recommended movies for user id 72:
[2026-02-08T19:45:49.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:49.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:49.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:49.112Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:49.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:49.112Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7193.416 ms) ======
[2026-02-08T19:45:49.112Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-08T19:45:49.112Z] GC before operation: completed in 76.836 ms, heap usage 592.723 MB -> 93.893 MB.
[2026-02-08T19:45:50.900Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:52.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:45:53.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:45:54.629Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:45:54.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:45:55.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:45:56.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:45:57.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:45:57.335Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:45:57.335Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:45:57.335Z] Top recommended movies for user id 72:
[2026-02-08T19:45:57.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:45:57.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:45:57.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:45:57.335Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:45:57.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:45:57.335Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8055.671 ms) ======
[2026-02-08T19:45:57.335Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-08T19:45:57.335Z] GC before operation: completed in 50.293 ms, heap usage 195.663 MB -> 90.214 MB.
[2026-02-08T19:45:58.583Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:45:59.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:46:01.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:46:02.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:46:03.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:46:04.473Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:46:04.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:46:06.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:46:06.126Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:46:06.126Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:46:06.126Z] Top recommended movies for user id 72:
[2026-02-08T19:46:06.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:46:06.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:46:06.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:46:06.126Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:46:06.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:46:06.126Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8698.993 ms) ======
[2026-02-08T19:46:06.126Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-08T19:46:06.126Z] GC before operation: completed in 50.403 ms, heap usage 118.474 MB -> 89.938 MB.
[2026-02-08T19:46:07.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:46:09.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:46:10.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:46:12.195Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:46:13.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:46:14.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:46:15.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:46:16.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:46:16.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:46:16.579Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:46:16.579Z] Top recommended movies for user id 72:
[2026-02-08T19:46:16.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:46:16.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:46:16.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:46:16.579Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:46:16.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:46:16.579Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10357.503 ms) ======
[2026-02-08T19:46:16.579Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-08T19:46:16.579Z] GC before operation: completed in 82.055 ms, heap usage 425.422 MB -> 90.630 MB.
[2026-02-08T19:46:18.428Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:46:19.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:46:20.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:46:22.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:46:23.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:46:23.810Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:46:24.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:46:25.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:46:25.768Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:46:25.768Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:46:25.768Z] Top recommended movies for user id 72:
[2026-02-08T19:46:25.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:46:25.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:46:25.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:46:25.768Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:46:25.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:46:25.768Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9198.458 ms) ======
[2026-02-08T19:46:25.768Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-08T19:46:25.768Z] GC before operation: completed in 59.202 ms, heap usage 362.410 MB -> 90.333 MB.
[2026-02-08T19:46:27.017Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:46:28.266Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:46:29.039Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:46:29.802Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:46:30.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:46:30.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:46:31.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:46:32.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:46:32.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:46:32.066Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:46:32.437Z] Top recommended movies for user id 72:
[2026-02-08T19:46:32.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:46:32.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:46:32.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:46:32.437Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:46:32.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:46:32.437Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6433.439 ms) ======
[2026-02-08T19:46:32.437Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-08T19:46:32.437Z] GC before operation: completed in 41.621 ms, heap usage 387.979 MB -> 90.554 MB.
[2026-02-08T19:46:33.213Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:46:34.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:46:35.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:46:35.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:46:36.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:46:37.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:46:37.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:46:38.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:46:38.229Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:46:38.229Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:46:38.596Z] Top recommended movies for user id 72:
[2026-02-08T19:46:38.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:46:38.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:46:38.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:46:38.596Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:46:38.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:46:38.596Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6121.319 ms) ======
[2026-02-08T19:46:38.596Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-08T19:46:38.596Z] GC before operation: completed in 41.712 ms, heap usage 341.671 MB -> 90.399 MB.
[2026-02-08T19:46:39.362Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:46:40.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:46:41.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:46:42.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:46:42.973Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:46:43.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:46:43.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:46:44.461Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:46:44.461Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:46:44.461Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:46:44.461Z] Top recommended movies for user id 72:
[2026-02-08T19:46:44.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:46:44.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:46:44.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:46:44.461Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:46:44.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:46:44.461Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6092.195 ms) ======
[2026-02-08T19:46:44.461Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-08T19:46:44.461Z] GC before operation: completed in 42.248 ms, heap usage 288.237 MB -> 90.285 MB.
[2026-02-08T19:46:45.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-08T19:46:46.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-08T19:46:47.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-08T19:46:48.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-08T19:46:48.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-08T19:46:49.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-08T19:46:49.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-08T19:46:50.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-08T19:46:50.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-08T19:46:50.702Z] The best model improves the baseline by 14.52%.
[2026-02-08T19:46:50.702Z] Top recommended movies for user id 72:
[2026-02-08T19:46:50.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-08T19:46:50.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-08T19:46:50.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-08T19:46:50.702Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-08T19:46:50.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-08T19:46:50.702Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6009.374 ms) ======
[2026-02-08T19:46:50.702Z] -----------------------------------
[2026-02-08T19:46:50.702Z] renaissance-movie-lens_0_PASSED
[2026-02-08T19:46:50.702Z] -----------------------------------
[2026-02-08T19:46:50.702Z]
[2026-02-08T19:46:50.702Z] TEST TEARDOWN:
[2026-02-08T19:46:50.702Z] Nothing to be done for teardown.
[2026-02-08T19:46:50.702Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 14:46:50 2026 Epoch Time (ms): 1770580010627