renaissance-movie-lens_0
[2026-01-10T13:37:01.209Z] Running test renaissance-movie-lens_0 ...
[2026-01-10T13:37:01.209Z] ===============================================
[2026-01-10T13:37:01.209Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 08:37:00 2026 Epoch Time (ms): 1768052220850
[2026-01-10T13:37:01.209Z] variation: NoOptions
[2026-01-10T13:37:01.209Z] JVM_OPTIONS:
[2026-01-10T13:37:01.209Z] { \
[2026-01-10T13:37:01.209Z] echo ""; echo "TEST SETUP:"; \
[2026-01-10T13:37:01.209Z] echo "Nothing to be done for setup."; \
[2026-01-10T13:37:01.209Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768051449611/renaissance-movie-lens_0"; \
[2026-01-10T13:37:01.209Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768051449611/renaissance-movie-lens_0"; \
[2026-01-10T13:37:01.209Z] echo ""; echo "TESTING:"; \
[2026-01-10T13:37:01.209Z] "/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_1768051449611/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-10T13:37:01.209Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768051449611/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-10T13:37:01.209Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-10T13:37:01.209Z] echo "Nothing to be done for teardown."; \
[2026-01-10T13:37:01.209Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768051449611/TestTargetResult";
[2026-01-10T13:37:01.209Z]
[2026-01-10T13:37:01.209Z] TEST SETUP:
[2026-01-10T13:37:01.209Z] Nothing to be done for setup.
[2026-01-10T13:37:01.209Z]
[2026-01-10T13:37:01.209Z] TESTING:
[2026-01-10T13:37:01.607Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-10T13:37:01.607Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_1768051449611/renaissance-movie-lens_0/launcher-083701-11994437177219794702/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-10T13:37:01.607Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-10T13:37:01.607Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-10T13:37:05.812Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-10T13:37:09.834Z] 08:37:09.120 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-10T13:37:10.249Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-10T13:37:10.649Z] Training: 60056, validation: 20285, test: 19854
[2026-01-10T13:37:10.649Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-10T13:37:10.649Z] GC before operation: completed in 60.627 ms, heap usage 206.602 MB -> 75.854 MB.
[2026-01-10T13:37:13.855Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:37:16.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:37:18.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:37:19.867Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:37:21.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:37:22.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:37:23.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:37:24.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:37:24.930Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:37:24.930Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:37:24.930Z] Top recommended movies for user id 72:
[2026-01-10T13:37:24.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:37:24.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:37:24.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:37:24.930Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:37:24.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:37:24.930Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14507.922 ms) ======
[2026-01-10T13:37:24.930Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-10T13:37:25.290Z] GC before operation: completed in 71.687 ms, heap usage 209.603 MB -> 86.471 MB.
[2026-01-10T13:37:27.094Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:37:28.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:37:31.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:37:32.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:37:33.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:37:34.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:37:36.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:37:37.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:37:37.535Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:37:37.535Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:37:37.535Z] Top recommended movies for user id 72:
[2026-01-10T13:37:37.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:37:37.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:37:37.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:37:37.535Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:37:37.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:37:37.535Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12420.101 ms) ======
[2026-01-10T13:37:37.535Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-10T13:37:37.535Z] GC before operation: completed in 66.579 ms, heap usage 162.176 MB -> 88.620 MB.
[2026-01-10T13:37:39.312Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:37:41.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:37:42.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:37:44.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:37:45.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:37:46.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:37:47.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:37:48.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:37:48.732Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:37:48.732Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:37:48.732Z] Top recommended movies for user id 72:
[2026-01-10T13:37:48.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:37:48.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:37:48.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:37:48.732Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:37:48.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:37:48.732Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11144.131 ms) ======
[2026-01-10T13:37:48.732Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-10T13:37:48.732Z] GC before operation: completed in 72.778 ms, heap usage 227.153 MB -> 90.441 MB.
[2026-01-10T13:37:50.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:37:52.279Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:37:53.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:37:55.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:37:56.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:37:57.357Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:37:58.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:37:59.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:37:59.718Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:37:59.718Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:37:59.718Z] Top recommended movies for user id 72:
[2026-01-10T13:37:59.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:37:59.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:37:59.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:37:59.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:37:59.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:37:59.718Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10900.817 ms) ======
[2026-01-10T13:37:59.718Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-10T13:37:59.718Z] GC before operation: completed in 56.124 ms, heap usage 307.290 MB -> 89.698 MB.
[2026-01-10T13:38:01.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:38:03.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:38:05.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:38:07.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:38:08.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:38:09.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:38:10.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:38:11.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:38:11.621Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:38:11.621Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:38:11.621Z] Top recommended movies for user id 72:
[2026-01-10T13:38:11.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:38:11.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:38:11.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:38:11.621Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:38:11.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:38:11.621Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11913.065 ms) ======
[2026-01-10T13:38:11.621Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-10T13:38:11.621Z] GC before operation: completed in 64.752 ms, heap usage 412.416 MB -> 89.740 MB.
[2026-01-10T13:38:14.062Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:38:15.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:38:17.802Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:38:19.098Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:38:19.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:38:21.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:38:22.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:38:23.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:38:23.504Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:38:23.504Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:38:23.504Z] Top recommended movies for user id 72:
[2026-01-10T13:38:23.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:38:23.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:38:23.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:38:23.504Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:38:23.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:38:23.504Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11736.042 ms) ======
[2026-01-10T13:38:23.504Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-10T13:38:23.504Z] GC before operation: completed in 66.160 ms, heap usage 382.399 MB -> 90.138 MB.
[2026-01-10T13:38:25.960Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:38:27.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:38:29.078Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:38:30.864Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:38:32.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:38:33.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:38:34.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:38:35.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:38:35.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:38:35.383Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:38:35.744Z] Top recommended movies for user id 72:
[2026-01-10T13:38:35.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:38:35.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:38:35.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:38:35.744Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:38:35.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:38:35.745Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12003.066 ms) ======
[2026-01-10T13:38:35.745Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-10T13:38:35.745Z] GC before operation: completed in 69.243 ms, heap usage 454.672 MB -> 90.109 MB.
[2026-01-10T13:38:37.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:38:39.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:38:40.606Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:38:42.406Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:38:43.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:38:44.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:38:45.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:38:46.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:38:46.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:38:46.467Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:38:46.467Z] Top recommended movies for user id 72:
[2026-01-10T13:38:46.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:38:46.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:38:46.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:38:46.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:38:46.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:38:46.467Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10870.876 ms) ======
[2026-01-10T13:38:46.467Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-10T13:38:46.467Z] GC before operation: completed in 78.998 ms, heap usage 539.722 MB -> 90.431 MB.
[2026-01-10T13:38:48.878Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:38:50.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:38:51.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:38:53.110Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:38:54.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:38:55.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:38:55.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:38:57.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:38:57.194Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:38:57.194Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:38:57.194Z] Top recommended movies for user id 72:
[2026-01-10T13:38:57.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:38:57.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:38:57.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:38:57.194Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:38:57.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:38:57.194Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10668.941 ms) ======
[2026-01-10T13:38:57.194Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-10T13:38:57.194Z] GC before operation: completed in 77.922 ms, heap usage 500.561 MB -> 90.299 MB.
[2026-01-10T13:38:58.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:39:00.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:39:02.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:39:03.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:39:05.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:39:05.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:39:07.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:39:07.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:39:07.925Z] 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.
[2026-01-10T13:39:07.926Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:39:08.281Z] Top recommended movies for user id 72:
[2026-01-10T13:39:08.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:39:08.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:39:08.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:39:08.281Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:39:08.281Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:39:08.281Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10821.922 ms) ======
[2026-01-10T13:39:08.281Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-10T13:39:08.281Z] GC before operation: completed in 90.977 ms, heap usage 192.766 MB -> 90.067 MB.
[2026-01-10T13:39:10.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:39:11.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:39:13.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:39:14.835Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:39:16.090Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:39:16.849Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:39:18.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:39:18.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:39:18.916Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:39:18.916Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:39:19.275Z] Top recommended movies for user id 72:
[2026-01-10T13:39:19.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:39:19.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:39:19.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:39:19.275Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:39:19.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:39:19.275Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10813.718 ms) ======
[2026-01-10T13:39:19.275Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-10T13:39:19.275Z] GC before operation: completed in 74.340 ms, heap usage 244.273 MB -> 89.860 MB.
[2026-01-10T13:39:21.049Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:39:22.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:39:24.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:39:25.819Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:39:26.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:39:27.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:39:29.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:39:29.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:39:29.820Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:39:29.820Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:39:29.820Z] Top recommended movies for user id 72:
[2026-01-10T13:39:29.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:39:29.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:39:29.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:39:29.820Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:39:29.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:39:29.820Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10803.302 ms) ======
[2026-01-10T13:39:29.820Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-10T13:39:30.172Z] GC before operation: completed in 68.595 ms, heap usage 370.540 MB -> 90.341 MB.
[2026-01-10T13:39:31.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:39:33.766Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:39:35.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:39:36.812Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:39:37.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:39:38.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:39:40.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:39:40.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:39:40.814Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:39:40.814Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:39:40.814Z] Top recommended movies for user id 72:
[2026-01-10T13:39:40.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:39:40.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:39:40.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:39:40.814Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:39:40.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:39:40.814Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (10897.924 ms) ======
[2026-01-10T13:39:40.814Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-10T13:39:41.181Z] GC before operation: completed in 57.127 ms, heap usage 272.963 MB -> 90.318 MB.
[2026-01-10T13:39:42.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:39:44.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:39:46.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:39:47.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:39:48.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:39:49.357Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:39:50.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:39:50.903Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:39:51.261Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:39:51.261Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:39:51.261Z] Top recommended movies for user id 72:
[2026-01-10T13:39:51.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:39:51.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:39:51.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:39:51.261Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:39:51.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:39:51.261Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10181.762 ms) ======
[2026-01-10T13:39:51.261Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-10T13:39:51.261Z] GC before operation: completed in 79.758 ms, heap usage 164.773 MB -> 90.018 MB.
[2026-01-10T13:39:53.062Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:39:54.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:39:56.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:39:57.934Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:39:58.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:39:59.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:40:00.749Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:40:01.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:40:01.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:40:01.910Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:40:01.910Z] Top recommended movies for user id 72:
[2026-01-10T13:40:01.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:40:01.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:40:01.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:40:01.910Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:40:01.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:40:01.910Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10669.732 ms) ======
[2026-01-10T13:40:01.910Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-10T13:40:01.910Z] GC before operation: completed in 76.810 ms, heap usage 484.445 MB -> 90.696 MB.
[2026-01-10T13:40:03.720Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:40:05.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:40:07.387Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:40:08.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:40:09.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:40:10.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:40:11.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:40:12.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:40:12.748Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:40:13.122Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:40:13.122Z] Top recommended movies for user id 72:
[2026-01-10T13:40:13.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:40:13.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:40:13.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:40:13.122Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:40:13.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:40:13.122Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10989.579 ms) ======
[2026-01-10T13:40:13.122Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-10T13:40:13.122Z] GC before operation: completed in 76.494 ms, heap usage 170.429 MB -> 91.822 MB.
[2026-01-10T13:40:14.937Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:40:16.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:40:18.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:40:19.746Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:40:20.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:40:21.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:40:22.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:40:23.332Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:40:23.686Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:40:23.686Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:40:23.686Z] Top recommended movies for user id 72:
[2026-01-10T13:40:23.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:40:23.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:40:23.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:40:23.686Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:40:23.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:40:23.686Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10520.707 ms) ======
[2026-01-10T13:40:23.686Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-10T13:40:23.686Z] GC before operation: completed in 105.631 ms, heap usage 452.276 MB -> 90.640 MB.
[2026-01-10T13:40:25.515Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:40:27.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:40:29.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:40:30.292Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:40:31.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:40:32.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:40:33.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:40:33.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:40:34.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:40:34.287Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:40:34.287Z] Top recommended movies for user id 72:
[2026-01-10T13:40:34.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:40:34.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:40:34.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:40:34.287Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:40:34.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:40:34.287Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10625.311 ms) ======
[2026-01-10T13:40:34.287Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-10T13:40:34.287Z] GC before operation: completed in 84.141 ms, heap usage 365.035 MB -> 90.327 MB.
[2026-01-10T13:40:36.716Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:40:37.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:40:39.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:40:40.498Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:40:41.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:40:42.503Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:40:43.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:40:44.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:40:44.506Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:40:44.506Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:40:44.506Z] Top recommended movies for user id 72:
[2026-01-10T13:40:44.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:40:44.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:40:44.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:40:44.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:40:44.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:40:44.506Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10181.999 ms) ======
[2026-01-10T13:40:44.506Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-10T13:40:44.506Z] GC before operation: completed in 74.300 ms, heap usage 448.494 MB -> 90.532 MB.
[2026-01-10T13:40:46.932Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-10T13:40:48.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-10T13:40:49.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-10T13:40:51.719Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-10T13:40:52.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-10T13:40:53.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-10T13:40:54.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-10T13:40:55.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-10T13:40:55.731Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-10T13:40:55.731Z] The best model improves the baseline by 14.52%.
[2026-01-10T13:40:55.731Z] Top recommended movies for user id 72:
[2026-01-10T13:40:55.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-10T13:40:55.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-10T13:40:55.731Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-10T13:40:55.731Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-10T13:40:55.731Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-10T13:40:55.731Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11119.734 ms) ======
[2026-01-10T13:40:56.082Z] -----------------------------------
[2026-01-10T13:40:56.082Z] renaissance-movie-lens_0_PASSED
[2026-01-10T13:40:56.083Z] -----------------------------------
[2026-01-10T13:40:56.083Z]
[2026-01-10T13:40:56.083Z] TEST TEARDOWN:
[2026-01-10T13:40:56.083Z] Nothing to be done for teardown.
[2026-01-10T13:40:56.083Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 08:40:55 2026 Epoch Time (ms): 1768052455988