[2026-02-27T02:45:49.388Z] Running test renaissance-movie-lens_0 ... [2026-02-27T02:45:49.388Z] =============================================== [2026-02-27T02:45:49.388Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 21:45:48 2026 Epoch Time (ms): 1772160348999 [2026-02-27T02:45:49.388Z] variation: NoOptions [2026-02-27T02:45:49.388Z] JVM_OPTIONS: [2026-02-27T02:45:49.388Z] { \ [2026-02-27T02:45:49.388Z] echo ""; echo "TEST SETUP:"; \ [2026-02-27T02:45:49.388Z] echo "Nothing to be done for setup."; \ [2026-02-27T02:45:49.388Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721580634063/renaissance-movie-lens_0"; \ [2026-02-27T02:45:49.388Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721580634063/renaissance-movie-lens_0"; \ [2026-02-27T02:45:49.388Z] echo ""; echo "TESTING:"; \ [2026-02-27T02:45:49.388Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721580634063/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-27T02:45:49.388Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721580634063/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-27T02:45:49.388Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-27T02:45:49.388Z] echo "Nothing to be done for teardown."; \ [2026-02-27T02:45:49.388Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17721580634063/TestTargetResult"; [2026-02-27T02:45:49.388Z] [2026-02-27T02:45:49.388Z] TEST SETUP: [2026-02-27T02:45:49.388Z] Nothing to be done for setup. [2026-02-27T02:45:49.388Z] [2026-02-27T02:45:49.388Z] TESTING: [2026-02-27T02:45:52.839Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-27T02:45:52.839Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17721580634063/renaissance-movie-lens_0/launcher-214549-17240898501756676254/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-27T02:45:52.839Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-27T02:45:52.839Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-27T02:46:06.561Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-27T02:46:28.544Z] 21:46:25.447 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. [2026-02-27T02:46:32.725Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-27T02:46:34.299Z] Training: 60056, validation: 20285, test: 19854 [2026-02-27T02:46:34.299Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-27T02:46:34.299Z] GC before operation: completed in 286.428 ms, heap usage 493.221 MB -> 74.869 MB. [2026-02-27T02:47:00.107Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:47:13.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:47:28.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:47:44.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:47:51.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:48:01.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:48:07.319Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:48:15.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:48:15.504Z] 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. [2026-02-27T02:48:15.942Z] The best model improves the baseline by 14.52%. [2026-02-27T02:48:16.447Z] Top recommended movies for user id 72: [2026-02-27T02:48:16.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:48:16.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:48:16.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:48:16.447Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:48:16.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:48:16.447Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (102158.392 ms) ====== [2026-02-27T02:48:16.447Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-27T02:48:17.679Z] GC before operation: completed in 1050.506 ms, heap usage 270.436 MB -> 85.303 MB. [2026-02-27T02:48:30.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:48:43.479Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:48:56.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:49:11.926Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:49:17.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:49:25.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:49:30.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:49:36.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:49:39.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:49:39.063Z] The best model improves the baseline by 14.52%. [2026-02-27T02:49:40.093Z] Top recommended movies for user id 72: [2026-02-27T02:49:40.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:49:40.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:49:40.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:49:40.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:49:40.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:49:40.093Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (82515.728 ms) ====== [2026-02-27T02:49:40.093Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-27T02:49:40.598Z] GC before operation: completed in 419.316 ms, heap usage 1.818 GB -> 93.735 MB. [2026-02-27T02:49:53.564Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:50:05.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:50:21.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:50:30.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:50:35.297Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:50:42.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:50:49.166Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:50:55.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:50:55.762Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:50:56.230Z] The best model improves the baseline by 14.52%. [2026-02-27T02:50:56.231Z] Top recommended movies for user id 72: [2026-02-27T02:50:56.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:50:56.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:50:56.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:50:56.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:50:56.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:50:56.231Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (75811.617 ms) ====== [2026-02-27T02:50:56.231Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-27T02:50:57.546Z] GC before operation: completed in 1128.312 ms, heap usage 125.425 MB -> 92.540 MB. [2026-02-27T02:51:10.696Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:51:21.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:51:34.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:51:45.158Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:51:50.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:51:56.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:52:02.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:52:08.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:52:09.228Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:52:09.690Z] The best model improves the baseline by 14.52%. [2026-02-27T02:52:09.690Z] Top recommended movies for user id 72: [2026-02-27T02:52:09.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:52:09.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:52:09.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:52:09.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:52:09.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:52:09.690Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (72432.469 ms) ====== [2026-02-27T02:52:09.690Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-27T02:52:10.455Z] GC before operation: completed in 294.203 ms, heap usage 360.772 MB -> 88.556 MB. [2026-02-27T02:52:20.800Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:52:31.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:52:41.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:52:50.333Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:52:56.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:53:03.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:53:11.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:53:17.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:53:18.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:53:18.715Z] The best model improves the baseline by 14.52%. [2026-02-27T02:53:19.873Z] Top recommended movies for user id 72: [2026-02-27T02:53:19.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:53:19.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:53:19.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:53:19.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:53:19.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:53:19.873Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (69530.174 ms) ====== [2026-02-27T02:53:19.873Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-27T02:53:19.873Z] GC before operation: completed in 318.665 ms, heap usage 148.182 MB -> 88.148 MB. [2026-02-27T02:53:32.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:53:43.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:53:56.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:54:08.236Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:54:14.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:54:22.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:54:29.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:54:37.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:54:37.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:54:37.216Z] The best model improves the baseline by 14.52%. [2026-02-27T02:54:37.639Z] Top recommended movies for user id 72: [2026-02-27T02:54:37.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:54:37.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:54:37.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:54:37.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:54:37.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:54:37.639Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (77713.294 ms) ====== [2026-02-27T02:54:37.639Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-27T02:54:38.196Z] GC before operation: completed in 332.868 ms, heap usage 196.809 MB -> 88.569 MB. [2026-02-27T02:54:52.990Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:55:06.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:55:18.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:55:29.745Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:55:37.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:55:43.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:55:50.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:55:55.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:55:57.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:55:57.460Z] The best model improves the baseline by 14.52%. [2026-02-27T02:55:57.924Z] Top recommended movies for user id 72: [2026-02-27T02:55:57.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:55:57.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:55:57.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:55:57.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:55:57.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:55:57.924Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (79927.716 ms) ====== [2026-02-27T02:55:57.924Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-27T02:55:58.473Z] GC before operation: completed in 379.103 ms, heap usage 195.003 MB -> 88.511 MB. [2026-02-27T02:56:08.924Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:56:19.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:56:30.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:56:40.838Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:56:48.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:56:56.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:57:01.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:57:07.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:57:07.633Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:57:08.169Z] The best model improves the baseline by 14.52%. [2026-02-27T02:57:08.654Z] Top recommended movies for user id 72: [2026-02-27T02:57:08.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:57:08.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:57:08.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:57:08.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:57:08.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:57:08.654Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (70491.177 ms) ====== [2026-02-27T02:57:08.654Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-27T02:57:09.075Z] GC before operation: completed in 206.816 ms, heap usage 177.676 MB -> 88.716 MB. [2026-02-27T02:57:19.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:57:30.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:57:42.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:57:58.246Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:58:02.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:58:08.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:58:14.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:58:19.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:58:19.970Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:58:19.970Z] The best model improves the baseline by 14.52%. [2026-02-27T02:58:20.404Z] Top recommended movies for user id 72: [2026-02-27T02:58:20.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:58:20.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:58:20.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:58:20.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:58:20.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:58:20.404Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (71335.849 ms) ====== [2026-02-27T02:58:20.404Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-27T02:58:20.404Z] GC before operation: completed in 222.097 ms, heap usage 536.570 MB -> 89.046 MB. [2026-02-27T02:58:32.952Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:58:43.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:58:52.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:59:01.174Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:59:06.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:59:12.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:59:18.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:59:25.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:59:25.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T02:59:25.503Z] The best model improves the baseline by 14.52%. [2026-02-27T02:59:25.503Z] Top recommended movies for user id 72: [2026-02-27T02:59:25.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T02:59:25.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T02:59:25.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T02:59:25.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T02:59:25.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T02:59:25.503Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (64996.623 ms) ====== [2026-02-27T02:59:25.503Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-27T02:59:26.015Z] GC before operation: completed in 301.284 ms, heap usage 281.694 MB -> 88.901 MB. [2026-02-27T02:59:39.192Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:59:47.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:59:56.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:00:06.978Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:00:14.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:00:20.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:00:27.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:00:35.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:00:35.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:00:35.993Z] The best model improves the baseline by 14.52%. [2026-02-27T03:00:35.993Z] Top recommended movies for user id 72: [2026-02-27T03:00:35.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:00:35.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:00:35.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:00:35.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:00:35.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:00:35.993Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (70230.001 ms) ====== [2026-02-27T03:00:35.993Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-27T03:00:36.483Z] GC before operation: completed in 242.120 ms, heap usage 296.961 MB -> 88.659 MB. [2026-02-27T03:00:49.863Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:00:58.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:01:09.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:01:18.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:01:24.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:01:30.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:01:37.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:01:46.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:01:46.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:01:46.977Z] The best model improves the baseline by 14.52%. [2026-02-27T03:01:47.653Z] Top recommended movies for user id 72: [2026-02-27T03:01:47.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:01:47.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:01:47.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:01:47.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:01:47.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:01:47.653Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (70792.603 ms) ====== [2026-02-27T03:01:47.653Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-27T03:01:47.653Z] GC before operation: completed in 294.346 ms, heap usage 555.605 MB -> 92.417 MB. [2026-02-27T03:02:00.786Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:02:16.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:02:28.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:02:40.750Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:02:48.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:02:54.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:02:59.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:03:05.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:03:06.307Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:03:06.913Z] The best model improves the baseline by 14.52%. [2026-02-27T03:03:07.578Z] Top recommended movies for user id 72: [2026-02-27T03:03:07.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:03:07.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:03:07.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:03:07.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:03:07.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:03:07.578Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (80271.496 ms) ====== [2026-02-27T03:03:07.578Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-27T03:03:08.084Z] GC before operation: completed in 298.005 ms, heap usage 925.624 MB -> 93.528 MB. [2026-02-27T03:03:20.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:03:35.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:03:48.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:04:01.341Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:04:07.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:04:15.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:04:22.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:04:29.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:04:29.773Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:04:30.285Z] The best model improves the baseline by 14.52%. [2026-02-27T03:04:30.778Z] Top recommended movies for user id 72: [2026-02-27T03:04:30.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:04:30.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:04:30.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:04:30.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:04:30.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:04:30.778Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (82636.300 ms) ====== [2026-02-27T03:04:30.778Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-27T03:04:30.778Z] GC before operation: completed in 262.118 ms, heap usage 208.521 MB -> 88.659 MB. [2026-02-27T03:04:43.237Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:04:51.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:05:02.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:05:12.693Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:05:18.319Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:05:24.762Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:05:32.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:05:38.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:05:39.969Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:05:39.969Z] The best model improves the baseline by 14.52%. [2026-02-27T03:05:40.501Z] Top recommended movies for user id 72: [2026-02-27T03:05:40.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:05:40.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:05:40.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:05:40.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:05:40.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:05:40.501Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (69400.806 ms) ====== [2026-02-27T03:05:40.501Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-27T03:05:40.501Z] GC before operation: completed in 208.859 ms, heap usage 190.773 MB -> 88.880 MB. [2026-02-27T03:05:52.926Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:06:00.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:06:08.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:06:17.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:06:22.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:06:29.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:06:36.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:06:41.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:06:41.971Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:06:41.971Z] The best model improves the baseline by 14.52%. [2026-02-27T03:06:42.565Z] Top recommended movies for user id 72: [2026-02-27T03:06:42.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:06:42.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:06:42.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:06:42.565Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:06:42.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:06:42.565Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (61757.120 ms) ====== [2026-02-27T03:06:42.565Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-27T03:06:43.171Z] GC before operation: completed in 697.585 ms, heap usage 952.334 MB -> 93.509 MB. [2026-02-27T03:06:53.778Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:07:04.322Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:07:14.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:07:22.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:07:28.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:07:36.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:07:43.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:07:49.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:07:50.476Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:07:50.476Z] The best model improves the baseline by 14.52%. [2026-02-27T03:07:51.709Z] Top recommended movies for user id 72: [2026-02-27T03:07:51.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:07:51.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:07:51.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:07:51.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:07:51.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:07:51.709Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (68494.917 ms) ====== [2026-02-27T03:07:51.709Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-27T03:07:51.709Z] GC before operation: completed in 261.265 ms, heap usage 153.712 MB -> 88.724 MB. [2026-02-27T03:08:04.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:08:16.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:08:29.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:08:38.541Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:08:44.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:08:50.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:08:57.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:09:05.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:09:05.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:09:05.418Z] The best model improves the baseline by 14.52%. [2026-02-27T03:09:06.109Z] Top recommended movies for user id 72: [2026-02-27T03:09:06.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:09:06.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:09:06.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:09:06.109Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:09:06.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:09:06.109Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (74054.007 ms) ====== [2026-02-27T03:09:06.109Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-27T03:09:06.109Z] GC before operation: completed in 376.863 ms, heap usage 538.535 MB -> 92.351 MB. [2026-02-27T03:09:21.316Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:09:34.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:09:45.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:09:54.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:10:00.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:10:07.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:10:13.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:10:20.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:10:20.574Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:10:20.574Z] The best model improves the baseline by 14.52%. [2026-02-27T03:10:20.574Z] Top recommended movies for user id 72: [2026-02-27T03:10:20.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:10:20.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:10:20.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:10:20.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:10:20.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:10:20.574Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (74421.824 ms) ====== [2026-02-27T03:10:20.574Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-27T03:10:21.694Z] GC before operation: completed in 986.953 ms, heap usage 809.066 MB -> 92.890 MB. [2026-02-27T03:10:34.810Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T03:10:46.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T03:10:57.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T03:11:10.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T03:11:16.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T03:11:23.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T03:11:29.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T03:11:36.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T03:11:36.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-27T03:11:37.464Z] The best model improves the baseline by 14.52%. [2026-02-27T03:11:38.598Z] Top recommended movies for user id 72: [2026-02-27T03:11:38.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-27T03:11:38.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-27T03:11:38.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-27T03:11:38.598Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-27T03:11:38.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-27T03:11:38.598Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (76983.853 ms) ====== [2026-02-27T03:11:43.054Z] ----------------------------------- [2026-02-27T03:11:43.054Z] renaissance-movie-lens_0_PASSED [2026-02-27T03:11:43.054Z] ----------------------------------- [2026-02-27T03:11:43.054Z] [2026-02-27T03:11:43.054Z] TEST TEARDOWN: [2026-02-27T03:11:43.054Z] Nothing to be done for teardown. [2026-02-27T03:11:43.054Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 22:11:42 2026 Epoch Time (ms): 1772161902592