[2026-01-24T13:39:22.775Z] Running test renaissance-movie-lens_0 ... [2026-01-24T13:39:22.775Z] =============================================== [2026-01-24T13:39:22.775Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 08:39:22 2026 Epoch Time (ms): 1769261962027 [2026-01-24T13:39:22.775Z] variation: NoOptions [2026-01-24T13:39:22.775Z] JVM_OPTIONS: [2026-01-24T13:39:22.775Z] { \ [2026-01-24T13:39:22.775Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T13:39:22.775Z] echo "Nothing to be done for setup."; \ [2026-01-24T13:39:22.776Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692615269939/renaissance-movie-lens_0"; \ [2026-01-24T13:39:22.776Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692615269939/renaissance-movie-lens_0"; \ [2026-01-24T13:39:22.776Z] echo ""; echo "TESTING:"; \ [2026-01-24T13:39:22.776Z] "/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_17692615269939/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T13:39:22.776Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692615269939/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T13:39:22.776Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T13:39:22.776Z] echo "Nothing to be done for teardown."; \ [2026-01-24T13:39:22.776Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17692615269939/TestTargetResult"; [2026-01-24T13:39:22.776Z] [2026-01-24T13:39:22.776Z] TEST SETUP: [2026-01-24T13:39:22.776Z] Nothing to be done for setup. [2026-01-24T13:39:22.776Z] [2026-01-24T13:39:22.776Z] TESTING: [2026-01-24T13:39:22.776Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T13:39:22.776Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17692615269939/renaissance-movie-lens_0/launcher-083922-1507297073222102830/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T13:39:22.776Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T13:39:22.776Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T13:39:25.897Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T13:39:29.904Z] 08:39:29.599 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-24T13:39:31.176Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T13:39:31.176Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T13:39:31.176Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T13:39:31.563Z] GC before operation: completed in 60.449 ms, heap usage 185.771 MB -> 75.895 MB. [2026-01-24T13:39:34.723Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:39:36.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:39:38.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:39:40.046Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:39:40.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:39:42.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:39:42.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:39:44.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:39:44.068Z] 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. [2026-01-24T13:39:44.068Z] The best model improves the baseline by 14.52%. [2026-01-24T13:39:44.433Z] Top recommended movies for user id 72: [2026-01-24T13:39:44.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:39:44.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:39:44.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:39:44.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:39:44.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:39:44.433Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (12933.597 ms) ====== [2026-01-24T13:39:44.433Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T13:39:44.433Z] GC before operation: completed in 98.122 ms, heap usage 622.495 MB -> 95.694 MB. [2026-01-24T13:39:46.231Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:39:48.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:39:50.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:39:52.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:39:53.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:39:53.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:39:55.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:39:56.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:39:56.007Z] 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. [2026-01-24T13:39:56.007Z] The best model improves the baseline by 14.52%. [2026-01-24T13:39:56.366Z] Top recommended movies for user id 72: [2026-01-24T13:39:56.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:39:56.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:39:56.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:39:56.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:39:56.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:39:56.366Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11823.129 ms) ====== [2026-01-24T13:39:56.366Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T13:39:56.366Z] GC before operation: completed in 47.260 ms, heap usage 286.530 MB -> 88.838 MB. [2026-01-24T13:39:58.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:39:59.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:40:01.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:40:02.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:40:03.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:40:04.156Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:40:05.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:40:06.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:40:06.732Z] 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. [2026-01-24T13:40:06.732Z] The best model improves the baseline by 14.52%. [2026-01-24T13:40:06.732Z] Top recommended movies for user id 72: [2026-01-24T13:40:06.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:40:06.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:40:06.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:40:06.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:40:06.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:40:06.732Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10488.653 ms) ====== [2026-01-24T13:40:06.732Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T13:40:06.732Z] GC before operation: completed in 68.839 ms, heap usage 457.882 MB -> 89.806 MB. [2026-01-24T13:40:08.540Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:40:10.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:40:12.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:40:13.907Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:40:14.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:40:15.960Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:40:16.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:40:18.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:40:18.000Z] 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. [2026-01-24T13:40:18.000Z] The best model improves the baseline by 14.52%. [2026-01-24T13:40:18.000Z] Top recommended movies for user id 72: [2026-01-24T13:40:18.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:40:18.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:40:18.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:40:18.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:40:18.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:40:18.000Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11080.781 ms) ====== [2026-01-24T13:40:18.000Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T13:40:18.000Z] GC before operation: completed in 61.919 ms, heap usage 542.626 MB -> 93.383 MB. [2026-01-24T13:40:19.785Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:40:21.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:40:22.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:40:24.097Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:40:25.340Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:40:26.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:40:26.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:40:28.134Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:40:28.134Z] 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. [2026-01-24T13:40:28.134Z] The best model improves the baseline by 14.52%. [2026-01-24T13:40:28.134Z] Top recommended movies for user id 72: [2026-01-24T13:40:28.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:40:28.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:40:28.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:40:28.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:40:28.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:40:28.134Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10286.176 ms) ====== [2026-01-24T13:40:28.134Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T13:40:28.497Z] GC before operation: completed in 71.742 ms, heap usage 243.102 MB -> 89.740 MB. [2026-01-24T13:40:29.783Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:40:31.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:40:33.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:40:34.629Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:40:35.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:40:37.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:40:37.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:40:38.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:40:38.729Z] 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. [2026-01-24T13:40:38.729Z] The best model improves the baseline by 14.52%. [2026-01-24T13:40:38.729Z] Top recommended movies for user id 72: [2026-01-24T13:40:38.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:40:38.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:40:38.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:40:38.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:40:38.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:40:38.729Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10505.275 ms) ====== [2026-01-24T13:40:38.729Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T13:40:39.087Z] GC before operation: completed in 80.608 ms, heap usage 197.623 MB -> 90.063 MB. [2026-01-24T13:40:40.885Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:40:42.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:40:43.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:40:45.176Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:40:46.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:40:47.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:40:48.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:40:49.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:40:49.618Z] 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. [2026-01-24T13:40:49.618Z] The best model improves the baseline by 14.52%. [2026-01-24T13:40:49.618Z] Top recommended movies for user id 72: [2026-01-24T13:40:49.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:40:49.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:40:49.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:40:49.618Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:40:49.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:40:49.618Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10689.591 ms) ====== [2026-01-24T13:40:49.618Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T13:40:49.618Z] GC before operation: completed in 74.542 ms, heap usage 190.661 MB -> 89.948 MB. [2026-01-24T13:40:51.402Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:40:53.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:40:54.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:40:56.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:40:57.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:40:57.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:40:58.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:40:59.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:40:59.541Z] 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. [2026-01-24T13:40:59.541Z] The best model improves the baseline by 14.52%. [2026-01-24T13:40:59.541Z] Top recommended movies for user id 72: [2026-01-24T13:40:59.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:40:59.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:40:59.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:40:59.541Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:40:59.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:40:59.541Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9830.253 ms) ====== [2026-01-24T13:40:59.541Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T13:40:59.541Z] GC before operation: completed in 44.585 ms, heap usage 471.894 MB -> 90.635 MB. [2026-01-24T13:41:00.806Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:01.614Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:02.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:03.729Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:04.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:04.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:05.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:06.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:06.070Z] 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. [2026-01-24T13:41:06.070Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:06.070Z] Top recommended movies for user id 72: [2026-01-24T13:41:06.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:06.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:06.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:06.070Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:06.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:06.070Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6521.861 ms) ====== [2026-01-24T13:41:06.070Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T13:41:06.070Z] GC before operation: completed in 40.140 ms, heap usage 180.803 MB -> 90.087 MB. [2026-01-24T13:41:07.310Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:08.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:09.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:11.034Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:11.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:12.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:12.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:13.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:13.708Z] 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. [2026-01-24T13:41:13.708Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:13.708Z] Top recommended movies for user id 72: [2026-01-24T13:41:13.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:13.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:13.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:13.708Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:13.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:13.708Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7525.309 ms) ====== [2026-01-24T13:41:13.708Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T13:41:13.708Z] GC before operation: completed in 48.838 ms, heap usage 235.841 MB -> 90.289 MB. [2026-01-24T13:41:14.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:16.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:16.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:17.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:18.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:19.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:20.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:20.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:20.410Z] 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. [2026-01-24T13:41:20.410Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:20.774Z] Top recommended movies for user id 72: [2026-01-24T13:41:20.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:20.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:20.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:20.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:20.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:20.774Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6868.976 ms) ====== [2026-01-24T13:41:20.774Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T13:41:20.774Z] GC before operation: completed in 40.249 ms, heap usage 118.049 MB -> 90.107 MB. [2026-01-24T13:41:21.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:22.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:23.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:24.324Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:25.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:25.865Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:26.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:26.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:26.991Z] 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. [2026-01-24T13:41:26.991Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:26.991Z] Top recommended movies for user id 72: [2026-01-24T13:41:26.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:26.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:26.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:26.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:26.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:26.991Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6351.875 ms) ====== [2026-01-24T13:41:26.991Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T13:41:26.991Z] GC before operation: completed in 43.828 ms, heap usage 426.406 MB -> 90.543 MB. [2026-01-24T13:41:28.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:29.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:30.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:31.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:32.736Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:33.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:33.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:34.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:35.003Z] 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. [2026-01-24T13:41:35.003Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:35.004Z] Top recommended movies for user id 72: [2026-01-24T13:41:35.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:35.004Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:35.004Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:35.004Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:35.004Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:35.004Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7913.250 ms) ====== [2026-01-24T13:41:35.004Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T13:41:35.004Z] GC before operation: completed in 57.762 ms, heap usage 364.817 MB -> 90.552 MB. [2026-01-24T13:41:36.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:37.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:38.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:39.050Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:39.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:40.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:40.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:41.312Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:41.312Z] 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. [2026-01-24T13:41:41.312Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:41.312Z] Top recommended movies for user id 72: [2026-01-24T13:41:41.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:41.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:41.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:41.312Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:41.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:41.312Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6391.307 ms) ====== [2026-01-24T13:41:41.312Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T13:41:41.312Z] GC before operation: completed in 41.498 ms, heap usage 153.592 MB -> 92.370 MB. [2026-01-24T13:41:42.552Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:43.324Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:44.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:45.332Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:45.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:46.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:46.837Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:47.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:47.601Z] 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. [2026-01-24T13:41:47.601Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:47.601Z] Top recommended movies for user id 72: [2026-01-24T13:41:47.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:47.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:47.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:47.601Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:47.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:47.601Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6143.070 ms) ====== [2026-01-24T13:41:47.601Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T13:41:47.601Z] GC before operation: completed in 41.234 ms, heap usage 128.053 MB -> 90.354 MB. [2026-01-24T13:41:48.838Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:50.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:51.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:52.572Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:41:53.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:41:54.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:41:54.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:41:55.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:41:55.605Z] 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. [2026-01-24T13:41:55.605Z] The best model improves the baseline by 14.52%. [2026-01-24T13:41:55.605Z] Top recommended movies for user id 72: [2026-01-24T13:41:55.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:41:55.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:41:55.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:41:55.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:41:55.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:41:55.605Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7980.225 ms) ====== [2026-01-24T13:41:55.605Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T13:41:55.605Z] GC before operation: completed in 47.798 ms, heap usage 334.929 MB -> 90.392 MB. [2026-01-24T13:41:56.863Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:41:58.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:41:58.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:41:59.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:42:00.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:42:00.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:42:01.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:42:01.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:42:02.341Z] 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. [2026-01-24T13:42:02.341Z] The best model improves the baseline by 14.52%. [2026-01-24T13:42:02.341Z] Top recommended movies for user id 72: [2026-01-24T13:42:02.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:42:02.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:42:02.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:42:02.342Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:42:02.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:42:02.342Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6666.100 ms) ====== [2026-01-24T13:42:02.342Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T13:42:02.342Z] GC before operation: completed in 40.708 ms, heap usage 286.813 MB -> 90.402 MB. [2026-01-24T13:42:03.100Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:42:04.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:42:05.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:42:05.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:42:06.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:42:07.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:42:07.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:42:08.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:42:08.303Z] 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. [2026-01-24T13:42:08.657Z] The best model improves the baseline by 14.52%. [2026-01-24T13:42:08.657Z] Top recommended movies for user id 72: [2026-01-24T13:42:08.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:42:08.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:42:08.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:42:08.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:42:08.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:42:08.657Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6178.942 ms) ====== [2026-01-24T13:42:08.658Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T13:42:08.658Z] GC before operation: completed in 39.577 ms, heap usage 93.811 MB -> 90.525 MB. [2026-01-24T13:42:09.436Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:42:10.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:42:12.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:42:13.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:42:14.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:42:14.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:42:15.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:42:16.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:42:16.857Z] 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. [2026-01-24T13:42:16.857Z] The best model improves the baseline by 14.52%. [2026-01-24T13:42:16.857Z] Top recommended movies for user id 72: [2026-01-24T13:42:16.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:42:16.857Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:42:16.857Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:42:16.857Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:42:16.857Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:42:16.857Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8439.455 ms) ====== [2026-01-24T13:42:16.857Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T13:42:17.218Z] GC before operation: completed in 74.203 ms, heap usage 381.359 MB -> 90.484 MB. [2026-01-24T13:42:19.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T13:42:20.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T13:42:22.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T13:42:24.533Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T13:42:25.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T13:42:27.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T13:42:28.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T13:42:29.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T13:42:29.448Z] 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. [2026-01-24T13:42:29.448Z] The best model improves the baseline by 14.52%. [2026-01-24T13:42:29.448Z] Top recommended movies for user id 72: [2026-01-24T13:42:29.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T13:42:29.448Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T13:42:29.448Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T13:42:29.448Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T13:42:29.448Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T13:42:29.448Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12322.028 ms) ====== [2026-01-24T13:42:29.807Z] ----------------------------------- [2026-01-24T13:42:29.807Z] renaissance-movie-lens_0_PASSED [2026-01-24T13:42:29.807Z] ----------------------------------- [2026-01-24T13:42:29.807Z] [2026-01-24T13:42:29.807Z] TEST TEARDOWN: [2026-01-24T13:42:29.807Z] Nothing to be done for teardown. [2026-01-24T13:42:29.807Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 08:42:29 2026 Epoch Time (ms): 1769262149616