[2026-02-13T09:36:11.721Z] Running test renaissance-movie-lens_0 ... [2026-02-13T09:36:11.721Z] =============================================== [2026-02-13T09:36:11.721Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 04:36:11 2026 Epoch Time (ms): 1770975371394 [2026-02-13T09:36:11.721Z] variation: NoOptions [2026-02-13T09:36:11.721Z] JVM_OPTIONS: [2026-02-13T09:36:11.721Z] { \ [2026-02-13T09:36:11.721Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T09:36:11.721Z] echo "Nothing to be done for setup."; \ [2026-02-13T09:36:11.721Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17709723237853/renaissance-movie-lens_0"; \ [2026-02-13T09:36:11.721Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17709723237853/renaissance-movie-lens_0"; \ [2026-02-13T09:36:11.721Z] echo ""; echo "TESTING:"; \ [2026-02-13T09:36:11.721Z] "/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_17709723237853/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T09:36:11.721Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17709723237853/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T09:36:11.721Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T09:36:11.721Z] echo "Nothing to be done for teardown."; \ [2026-02-13T09:36:11.721Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17709723237853/TestTargetResult"; [2026-02-13T09:36:11.721Z] [2026-02-13T09:36:11.721Z] TEST SETUP: [2026-02-13T09:36:11.721Z] Nothing to be done for setup. [2026-02-13T09:36:11.721Z] [2026-02-13T09:36:11.721Z] TESTING: [2026-02-13T09:36:14.762Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T09:36:14.762Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17709723237853/renaissance-movie-lens_0/launcher-043612-12411144491347355286/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T09:36:14.762Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T09:36:14.762Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T09:36:32.667Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T09:36:58.554Z] 04:36:57.031 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. [2026-02-13T09:37:06.845Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T09:37:10.157Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T09:37:10.157Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T09:37:10.157Z] GC before operation: completed in 236.929 ms, heap usage 415.800 MB -> 74.651 MB. [2026-02-13T09:37:47.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:38:06.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:38:32.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:38:48.633Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:38:55.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:39:03.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:39:13.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:39:22.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:39:23.315Z] 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. [2026-02-13T09:39:23.734Z] The best model improves the baseline by 14.52%. [2026-02-13T09:39:24.162Z] Top recommended movies for user id 72: [2026-02-13T09:39:24.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:39:24.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:39:24.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:39:24.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:39:24.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:39:24.162Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (134118.442 ms) ====== [2026-02-13T09:39:24.162Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T09:39:24.577Z] GC before operation: completed in 622.000 ms, heap usage 1.489 GB -> 93.298 MB. [2026-02-13T09:39:42.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:39:55.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:40:14.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:40:28.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:40:38.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:40:47.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:40:57.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:41:06.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:41:06.451Z] 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. [2026-02-13T09:41:06.451Z] The best model improves the baseline by 14.52%. [2026-02-13T09:41:06.894Z] Top recommended movies for user id 72: [2026-02-13T09:41:06.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:41:06.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:41:06.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:41:06.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:41:06.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:41:06.894Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (102285.163 ms) ====== [2026-02-13T09:41:06.894Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T09:41:07.924Z] GC before operation: completed in 575.344 ms, heap usage 593.432 MB -> 90.811 MB. [2026-02-13T09:41:26.810Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:41:45.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:42:03.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:42:20.924Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:42:28.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:42:38.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:42:47.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:42:56.399Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:42:56.399Z] 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. [2026-02-13T09:42:56.399Z] The best model improves the baseline by 14.52%. [2026-02-13T09:42:56.904Z] Top recommended movies for user id 72: [2026-02-13T09:42:56.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:42:56.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:42:56.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:42:56.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:42:56.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:42:56.904Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (109176.777 ms) ====== [2026-02-13T09:42:56.904Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T09:42:58.124Z] GC before operation: completed in 1065.681 ms, heap usage 800.996 MB -> 91.888 MB. [2026-02-13T09:43:16.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:43:29.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:43:42.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:43:55.985Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:44:03.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:44:12.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:44:25.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:44:34.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:44:34.810Z] 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. [2026-02-13T09:44:34.810Z] The best model improves the baseline by 14.52%. [2026-02-13T09:44:35.273Z] Top recommended movies for user id 72: [2026-02-13T09:44:35.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:44:35.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:44:35.273Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:44:35.273Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:44:35.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:44:35.273Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (97192.118 ms) ====== [2026-02-13T09:44:35.273Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T09:44:35.780Z] GC before operation: completed in 719.615 ms, heap usage 117.211 MB -> 88.180 MB. [2026-02-13T09:44:53.909Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:45:11.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:45:28.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:45:45.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:45:51.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:46:01.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:46:10.582Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:46:18.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:46:18.450Z] 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. [2026-02-13T09:46:18.450Z] The best model improves the baseline by 14.52%. [2026-02-13T09:46:18.995Z] Top recommended movies for user id 72: [2026-02-13T09:46:18.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:46:18.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:46:18.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:46:18.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:46:18.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:46:18.995Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (103178.133 ms) ====== [2026-02-13T09:46:18.995Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T09:46:20.312Z] GC before operation: completed in 1198.520 ms, heap usage 690.249 MB -> 92.110 MB. [2026-02-13T09:46:39.186Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:46:54.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:47:10.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:47:21.118Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:47:30.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:47:40.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:47:51.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:48:00.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:48:01.138Z] 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. [2026-02-13T09:48:01.138Z] The best model improves the baseline by 14.52%. [2026-02-13T09:48:03.249Z] Top recommended movies for user id 72: [2026-02-13T09:48:03.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:48:03.249Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:48:03.249Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:48:03.249Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:48:03.249Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:48:03.249Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (103015.556 ms) ====== [2026-02-13T09:48:03.249Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T09:48:03.723Z] GC before operation: completed in 349.884 ms, heap usage 212.998 MB -> 88.616 MB. [2026-02-13T09:48:22.688Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:48:41.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:48:56.406Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:49:13.261Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:49:20.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:49:28.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:49:35.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:49:42.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:49:44.695Z] 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. [2026-02-13T09:49:44.695Z] The best model improves the baseline by 14.52%. [2026-02-13T09:49:45.704Z] Top recommended movies for user id 72: [2026-02-13T09:49:45.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:49:45.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:49:45.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:49:45.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:49:45.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:49:45.704Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (102067.685 ms) ====== [2026-02-13T09:49:45.704Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T09:49:46.250Z] GC before operation: completed in 424.525 ms, heap usage 206.983 MB -> 90.938 MB. [2026-02-13T09:50:04.715Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:50:20.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:50:39.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:50:50.446Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:50:59.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:51:07.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:51:16.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:51:26.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:51:26.554Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-13T09:51:26.554Z] The best model improves the baseline by 14.52%. [2026-02-13T09:51:27.040Z] Top recommended movies for user id 72: [2026-02-13T09:51:27.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:51:27.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:51:27.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:51:27.040Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:51:27.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:51:27.040Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (100985.941 ms) ====== [2026-02-13T09:51:27.040Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T09:51:27.591Z] GC before operation: completed in 280.464 ms, heap usage 287.831 MB -> 88.883 MB. [2026-02-13T09:51:45.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:51:58.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:52:11.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:52:30.097Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:52:37.654Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:52:46.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:52:57.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:53:05.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:53:07.274Z] 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. [2026-02-13T09:53:07.765Z] The best model improves the baseline by 14.52%. [2026-02-13T09:53:08.185Z] Top recommended movies for user id 72: [2026-02-13T09:53:08.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:53:08.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:53:08.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:53:08.185Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:53:08.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:53:08.185Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (100749.745 ms) ====== [2026-02-13T09:53:08.185Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T09:53:08.185Z] GC before operation: completed in 298.083 ms, heap usage 276.426 MB -> 88.833 MB. [2026-02-13T09:53:23.642Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:53:38.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:53:54.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:54:13.415Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:54:21.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:54:30.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:54:39.864Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:54:48.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:54:50.485Z] 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. [2026-02-13T09:54:51.010Z] The best model improves the baseline by 14.52%. [2026-02-13T09:54:51.010Z] Top recommended movies for user id 72: [2026-02-13T09:54:51.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:54:51.010Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:54:51.010Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:54:51.010Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:54:51.010Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:54:51.010Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (102698.800 ms) ====== [2026-02-13T09:54:51.010Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T09:54:51.482Z] GC before operation: completed in 280.666 ms, heap usage 97.769 MB -> 88.902 MB. [2026-02-13T09:55:07.081Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:55:22.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:55:41.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:55:57.456Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:56:08.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:56:20.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:56:33.711Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:56:42.735Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:56:43.181Z] 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. [2026-02-13T09:56:43.766Z] The best model improves the baseline by 14.52%. [2026-02-13T09:56:44.774Z] Top recommended movies for user id 72: [2026-02-13T09:56:44.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:56:44.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:56:44.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:56:44.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:56:44.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:56:44.774Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (113303.010 ms) ====== [2026-02-13T09:56:44.774Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T09:56:45.245Z] GC before operation: completed in 324.587 ms, heap usage 1.211 GB -> 94.259 MB. [2026-02-13T09:57:03.961Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:57:19.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:57:38.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:57:54.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:57:59.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:58:07.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:58:15.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:58:21.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:58:21.790Z] 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. [2026-02-13T09:58:21.790Z] The best model improves the baseline by 14.52%. [2026-02-13T09:58:22.341Z] Top recommended movies for user id 72: [2026-02-13T09:58:22.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:58:22.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:58:22.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:58:22.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:58:22.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:58:22.341Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (97274.827 ms) ====== [2026-02-13T09:58:22.341Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T09:58:23.507Z] GC before operation: completed in 1133.301 ms, heap usage 349.591 MB -> 88.901 MB. [2026-02-13T09:58:41.862Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T09:58:55.010Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T09:59:13.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T09:59:25.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T09:59:30.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T09:59:40.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T09:59:46.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T09:59:57.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T09:59:57.672Z] 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. [2026-02-13T09:59:58.222Z] The best model improves the baseline by 14.52%. [2026-02-13T09:59:58.222Z] Top recommended movies for user id 72: [2026-02-13T09:59:58.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T09:59:58.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T09:59:58.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T09:59:58.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T09:59:58.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T09:59:58.222Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (94858.320 ms) ====== [2026-02-13T09:59:58.222Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T09:59:58.759Z] GC before operation: completed in 412.505 ms, heap usage 455.234 MB -> 89.424 MB. [2026-02-13T10:00:16.018Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T10:00:31.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T10:00:47.864Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T10:01:03.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T10:01:12.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T10:01:20.061Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T10:01:29.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T10:01:37.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T10:01:37.355Z] 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. [2026-02-13T10:01:37.355Z] The best model improves the baseline by 14.52%. [2026-02-13T10:01:38.558Z] Top recommended movies for user id 72: [2026-02-13T10:01:38.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T10:01:38.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T10:01:38.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T10:01:38.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T10:01:38.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T10:01:38.558Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (100001.089 ms) ====== [2026-02-13T10:01:38.558Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T10:01:39.085Z] GC before operation: completed in 223.039 ms, heap usage 295.035 MB -> 88.829 MB. [2026-02-13T10:01:54.836Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T10:02:10.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T10:02:29.406Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T10:02:42.578Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T10:02:47.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T10:02:54.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T10:03:02.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T10:03:09.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T10:03:09.677Z] 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. [2026-02-13T10:03:10.273Z] The best model improves the baseline by 14.52%. [2026-02-13T10:03:10.784Z] Top recommended movies for user id 72: [2026-02-13T10:03:10.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T10:03:10.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T10:03:10.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T10:03:10.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T10:03:10.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T10:03:10.784Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (91986.245 ms) ====== [2026-02-13T10:03:10.784Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T10:03:11.220Z] GC before operation: completed in 389.439 ms, heap usage 636.667 MB -> 92.707 MB. [2026-02-13T10:03:26.425Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T10:03:42.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T10:03:55.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T10:04:15.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T10:04:26.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T10:04:35.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T10:04:43.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T10:04:52.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T10:04:52.892Z] 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. [2026-02-13T10:04:53.462Z] The best model improves the baseline by 14.52%. [2026-02-13T10:04:54.412Z] Top recommended movies for user id 72: [2026-02-13T10:04:54.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T10:04:54.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T10:04:54.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T10:04:54.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T10:04:54.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T10:04:54.412Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (102842.128 ms) ====== [2026-02-13T10:04:54.412Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T10:04:54.412Z] GC before operation: completed in 404.557 ms, heap usage 1.813 GB -> 95.148 MB. [2026-02-13T10:05:08.129Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T10:05:20.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T10:05:37.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T10:05:50.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T10:05:54.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T10:06:02.416Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T10:06:10.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T10:06:17.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T10:06:17.584Z] 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. [2026-02-13T10:06:18.019Z] The best model improves the baseline by 14.52%. [2026-02-13T10:06:18.019Z] Top recommended movies for user id 72: [2026-02-13T10:06:18.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T10:06:18.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T10:06:18.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T10:06:18.019Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T10:06:18.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T10:06:18.019Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (83679.902 ms) ====== [2026-02-13T10:06:18.019Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T10:06:19.261Z] GC before operation: completed in 1154.129 ms, heap usage 740.791 MB -> 92.837 MB. [2026-02-13T10:06:37.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T10:06:53.223Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T10:07:08.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T10:07:21.449Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T10:07:31.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T10:07:41.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T10:07:49.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T10:07:56.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T10:07:57.590Z] 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. [2026-02-13T10:07:57.590Z] The best model improves the baseline by 14.52%. [2026-02-13T10:07:58.738Z] Top recommended movies for user id 72: [2026-02-13T10:07:58.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T10:07:58.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T10:07:58.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T10:07:58.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T10:07:58.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T10:07:58.738Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (99326.078 ms) ====== [2026-02-13T10:07:58.738Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T10:07:59.201Z] GC before operation: completed in 490.035 ms, heap usage 624.473 MB -> 95.853 MB. [2026-02-13T10:08:17.620Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T10:08:32.994Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T10:08:46.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T10:08:59.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T10:09:06.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T10:09:13.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T10:09:21.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T10:09:28.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T10:09:29.513Z] 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. [2026-02-13T10:09:29.513Z] The best model improves the baseline by 14.52%. [2026-02-13T10:09:29.964Z] Top recommended movies for user id 72: [2026-02-13T10:09:29.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T10:09:29.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T10:09:29.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T10:09:29.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T10:09:29.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T10:09:29.964Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (90562.568 ms) ====== [2026-02-13T10:09:29.964Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T10:09:29.964Z] GC before operation: completed in 362.468 ms, heap usage 1.092 GB -> 94.144 MB. [2026-02-13T10:09:48.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T10:10:11.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T10:10:22.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T10:10:36.927Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T10:10:44.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T10:10:53.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T10:11:03.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T10:11:11.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T10:11:12.299Z] 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. [2026-02-13T10:11:12.299Z] The best model improves the baseline by 14.52%. [2026-02-13T10:11:13.268Z] Top recommended movies for user id 72: [2026-02-13T10:11:13.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T10:11:13.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T10:11:13.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T10:11:13.268Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T10:11:13.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T10:11:13.268Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (103243.164 ms) ====== [2026-02-13T10:11:18.999Z] ----------------------------------- [2026-02-13T10:11:18.999Z] renaissance-movie-lens_0_PASSED [2026-02-13T10:11:18.999Z] ----------------------------------- [2026-02-13T10:11:19.956Z] [2026-02-13T10:11:19.956Z] TEST TEARDOWN: [2026-02-13T10:11:19.956Z] Nothing to be done for teardown. [2026-02-13T10:11:20.381Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 05:11:19 2026 Epoch Time (ms): 1770977479986