[2026-01-11T01:36:39.107Z] Running test renaissance-movie-lens_0 ... [2026-01-11T01:36:39.107Z] =============================================== [2026-01-11T01:36:39.107Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 20:36:37 2026 Epoch Time (ms): 1768095397345 [2026-01-11T01:36:39.107Z] variation: NoOptions [2026-01-11T01:36:39.107Z] JVM_OPTIONS: [2026-01-11T01:36:39.107Z] { \ [2026-01-11T01:36:39.107Z] echo ""; echo "TEST SETUP:"; \ [2026-01-11T01:36:39.107Z] echo "Nothing to be done for setup."; \ [2026-01-11T01:36:39.107Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680891101214/renaissance-movie-lens_0"; \ [2026-01-11T01:36:39.107Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680891101214/renaissance-movie-lens_0"; \ [2026-01-11T01:36:39.107Z] echo ""; echo "TESTING:"; \ [2026-01-11T01:36:39.107Z] "/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_17680891101214/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-11T01:36:39.107Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680891101214/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-11T01:36:39.107Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-11T01:36:39.107Z] echo "Nothing to be done for teardown."; \ [2026-01-11T01:36:39.107Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17680891101214/TestTargetResult"; [2026-01-11T01:36:39.107Z] [2026-01-11T01:36:39.107Z] TEST SETUP: [2026-01-11T01:36:39.107Z] Nothing to be done for setup. [2026-01-11T01:36:39.107Z] [2026-01-11T01:36:39.107Z] TESTING: [2026-01-11T01:36:40.790Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-11T01:36:40.790Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17680891101214/renaissance-movie-lens_0/launcher-203638-14643379148628929898/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-11T01:36:40.791Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-11T01:36:40.791Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-11T01:37:06.670Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-11T01:37:32.700Z] 20:37:29.553 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-11T01:37:36.967Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-11T01:37:39.427Z] Training: 60056, validation: 20285, test: 19854 [2026-01-11T01:37:39.427Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-11T01:37:39.427Z] GC before operation: completed in 188.802 ms, heap usage 340.553 MB -> 75.169 MB. [2026-01-11T01:38:10.699Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:38:32.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:38:43.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:38:59.301Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:39:04.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:39:12.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:39:21.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:39:33.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:39:37.807Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:39:37.807Z] The best model improves the baseline by 14.52%. [2026-01-11T01:39:40.691Z] Top recommended movies for user id 72: [2026-01-11T01:39:40.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:39:40.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:39:40.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:39:40.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:39:40.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:39:40.691Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (121316.724 ms) ====== [2026-01-11T01:39:40.691Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-11T01:39:41.170Z] GC before operation: completed in 383.419 ms, heap usage 901.525 MB -> 92.859 MB. [2026-01-11T01:39:56.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:40:16.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:40:29.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:40:53.249Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:40:57.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:41:02.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:41:10.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:41:16.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:41:16.354Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:41:16.354Z] The best model improves the baseline by 14.52%. [2026-01-11T01:41:16.803Z] Top recommended movies for user id 72: [2026-01-11T01:41:16.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:41:16.803Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:41:16.803Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:41:16.803Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:41:16.803Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:41:16.803Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (95661.866 ms) ====== [2026-01-11T01:41:16.803Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-11T01:41:17.284Z] GC before operation: completed in 364.744 ms, heap usage 1005.448 MB -> 92.783 MB. [2026-01-11T01:41:36.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:41:53.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:42:12.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:42:25.864Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:42:32.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:42:38.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:42:48.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:43:02.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:43:02.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:43:02.338Z] The best model improves the baseline by 14.52%. [2026-01-11T01:43:02.786Z] Top recommended movies for user id 72: [2026-01-11T01:43:02.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:43:02.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:43:02.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:43:02.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:43:02.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:43:02.786Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (105748.510 ms) ====== [2026-01-11T01:43:02.786Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-11T01:43:03.306Z] GC before operation: completed in 452.996 ms, heap usage 428.693 MB -> 90.259 MB. [2026-01-11T01:43:16.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:43:28.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:43:41.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:43:55.144Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:44:02.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:44:12.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:44:25.372Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:44:34.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:44:37.117Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:44:37.934Z] The best model improves the baseline by 14.52%. [2026-01-11T01:44:40.491Z] Top recommended movies for user id 72: [2026-01-11T01:44:40.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:44:40.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:44:40.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:44:40.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:44:40.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:44:40.491Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (96882.912 ms) ====== [2026-01-11T01:44:40.491Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-11T01:44:43.124Z] GC before operation: completed in 2386.344 ms, heap usage 1.334 GB -> 94.761 MB. [2026-01-11T01:45:01.850Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:45:20.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:45:33.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:45:52.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:46:01.618Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:46:11.569Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:46:20.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:46:29.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:46:30.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:46:30.206Z] The best model improves the baseline by 14.52%. [2026-01-11T01:46:30.659Z] Top recommended movies for user id 72: [2026-01-11T01:46:30.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:46:30.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:46:30.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:46:30.659Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:46:30.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:46:30.659Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (107918.183 ms) ====== [2026-01-11T01:46:30.659Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-11T01:46:30.659Z] GC before operation: completed in 303.660 ms, heap usage 999.273 MB -> 93.709 MB. [2026-01-11T01:46:49.536Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:47:08.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:47:24.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:47:47.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:47:55.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:48:06.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:48:16.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:48:25.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:48:27.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:48:27.581Z] The best model improves the baseline by 14.52%. [2026-01-11T01:48:28.043Z] Top recommended movies for user id 72: [2026-01-11T01:48:28.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:48:28.043Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:48:28.043Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:48:28.043Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:48:28.043Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:48:28.043Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (117183.390 ms) ====== [2026-01-11T01:48:28.043Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-11T01:48:28.600Z] GC before operation: completed in 283.201 ms, heap usage 347.725 MB -> 89.359 MB. [2026-01-11T01:48:44.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:48:56.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:49:09.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:49:25.631Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:49:34.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:49:46.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:49:54.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:50:06.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:50:08.666Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:50:09.249Z] The best model improves the baseline by 14.52%. [2026-01-11T01:50:12.181Z] Top recommended movies for user id 72: [2026-01-11T01:50:12.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:50:12.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:50:12.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:50:12.181Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:50:12.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:50:12.181Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (103822.173 ms) ====== [2026-01-11T01:50:12.181Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-11T01:50:13.391Z] GC before operation: completed in 1285.083 ms, heap usage 127.031 MB -> 88.941 MB. [2026-01-11T01:50:32.507Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:50:45.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:51:03.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:51:16.837Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:51:25.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:51:39.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:51:47.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:51:55.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:51:56.114Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:51:56.114Z] The best model improves the baseline by 14.52%. [2026-01-11T01:51:57.187Z] Top recommended movies for user id 72: [2026-01-11T01:51:57.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:51:57.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:51:57.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:51:57.187Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:51:57.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:51:57.188Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (103753.087 ms) ====== [2026-01-11T01:51:57.188Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-11T01:51:57.608Z] GC before operation: completed in 351.785 ms, heap usage 1.601 GB -> 95.651 MB. [2026-01-11T01:52:13.196Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:52:28.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:52:41.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:52:55.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:53:04.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:53:18.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:53:24.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:53:32.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:53:33.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:53:33.942Z] The best model improves the baseline by 14.52%. [2026-01-11T01:53:35.162Z] Top recommended movies for user id 72: [2026-01-11T01:53:35.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:53:35.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:53:35.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:53:35.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:53:35.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:53:35.162Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (97530.091 ms) ====== [2026-01-11T01:53:35.162Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-11T01:53:35.692Z] GC before operation: completed in 489.548 ms, heap usage 166.910 MB -> 89.224 MB. [2026-01-11T01:53:58.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:54:18.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:54:38.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:55:05.577Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:55:09.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:55:20.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:55:31.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:55:39.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:55:40.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:55:40.751Z] The best model improves the baseline by 14.52%. [2026-01-11T01:55:41.226Z] Top recommended movies for user id 72: [2026-01-11T01:55:41.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:55:41.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:55:41.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:55:41.226Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:55:41.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:55:41.226Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (125834.475 ms) ====== [2026-01-11T01:55:41.226Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-11T01:55:41.667Z] GC before operation: completed in 346.640 ms, heap usage 299.484 MB -> 89.756 MB. [2026-01-11T01:55:57.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:56:08.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:56:21.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:56:34.327Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:56:39.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:56:46.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:56:56.657Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:57:04.905Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:57:05.531Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:57:05.531Z] The best model improves the baseline by 14.52%. [2026-01-11T01:57:07.442Z] Top recommended movies for user id 72: [2026-01-11T01:57:07.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:57:07.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:57:07.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:57:07.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:57:07.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:57:07.442Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (85453.297 ms) ====== [2026-01-11T01:57:07.442Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-11T01:57:07.442Z] GC before operation: completed in 306.795 ms, heap usage 194.197 MB -> 90.324 MB. [2026-01-11T01:57:26.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:57:40.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:58:04.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T01:58:20.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T01:58:28.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T01:58:38.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T01:58:46.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T01:58:54.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T01:58:55.121Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T01:58:55.121Z] The best model improves the baseline by 14.52%. [2026-01-11T01:58:55.121Z] Top recommended movies for user id 72: [2026-01-11T01:58:55.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T01:58:55.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T01:58:55.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T01:58:55.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T01:58:55.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T01:58:55.121Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (107846.906 ms) ====== [2026-01-11T01:58:55.121Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-11T01:58:55.683Z] GC before operation: completed in 371.846 ms, heap usage 1005.307 MB -> 94.771 MB. [2026-01-11T01:59:11.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T01:59:30.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T01:59:44.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:00:00.093Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:00:05.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:00:14.971Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:00:24.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:00:33.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:00:34.957Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:00:35.423Z] The best model improves the baseline by 14.52%. [2026-01-11T02:00:35.923Z] Top recommended movies for user id 72: [2026-01-11T02:00:35.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:00:35.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:00:35.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:00:35.923Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:00:35.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:00:35.923Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (100041.447 ms) ====== [2026-01-11T02:00:35.923Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-11T02:00:36.471Z] GC before operation: completed in 461.072 ms, heap usage 373.922 MB -> 89.709 MB. [2026-01-11T02:00:52.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T02:01:12.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T02:01:39.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:01:54.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:02:04.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:02:13.895Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:02:25.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:02:38.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:02:41.360Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:02:41.360Z] The best model improves the baseline by 14.52%. [2026-01-11T02:02:41.360Z] Top recommended movies for user id 72: [2026-01-11T02:02:41.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:02:41.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:02:41.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:02:41.360Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:02:41.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:02:41.360Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (125251.134 ms) ====== [2026-01-11T02:02:41.360Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-11T02:02:41.840Z] GC before operation: completed in 237.734 ms, heap usage 218.396 MB -> 89.288 MB. [2026-01-11T02:02:57.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T02:03:07.890Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T02:03:26.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:03:39.345Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:03:47.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:03:56.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:04:03.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:04:12.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:04:13.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:04:13.105Z] The best model improves the baseline by 14.52%. [2026-01-11T02:04:13.551Z] Top recommended movies for user id 72: [2026-01-11T02:04:13.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:04:13.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:04:13.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:04:13.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:04:13.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:04:13.551Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (91790.929 ms) ====== [2026-01-11T02:04:13.551Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-11T02:04:14.113Z] GC before operation: completed in 307.435 ms, heap usage 182.045 MB -> 91.855 MB. [2026-01-11T02:04:30.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T02:04:52.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T02:05:03.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:05:19.031Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:05:32.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:05:40.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:05:49.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:05:58.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:06:00.036Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:06:00.036Z] The best model improves the baseline by 14.52%. [2026-01-11T02:06:00.500Z] Top recommended movies for user id 72: [2026-01-11T02:06:00.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:06:00.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:06:00.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:06:00.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:06:00.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:06:00.500Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (106580.129 ms) ====== [2026-01-11T02:06:00.500Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-11T02:06:00.500Z] GC before operation: completed in 233.298 ms, heap usage 194.314 MB -> 89.356 MB. [2026-01-11T02:06:16.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T02:06:32.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T02:06:48.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:07:02.371Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:07:14.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:07:24.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:07:33.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:07:41.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:07:43.076Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:07:43.076Z] The best model improves the baseline by 14.52%. [2026-01-11T02:07:43.608Z] Top recommended movies for user id 72: [2026-01-11T02:07:43.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:07:43.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:07:43.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:07:43.608Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:07:43.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:07:43.608Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (102735.604 ms) ====== [2026-01-11T02:07:43.608Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-11T02:07:43.608Z] GC before operation: completed in 335.896 ms, heap usage 211.463 MB -> 89.501 MB. [2026-01-11T02:08:02.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T02:08:18.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T02:08:33.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:08:46.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:08:58.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:09:05.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:09:14.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:09:20.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:09:21.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:09:21.906Z] The best model improves the baseline by 14.52%. [2026-01-11T02:09:22.331Z] Top recommended movies for user id 72: [2026-01-11T02:09:22.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:09:22.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:09:22.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:09:22.331Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:09:22.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:09:22.331Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (98478.698 ms) ====== [2026-01-11T02:09:22.331Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-11T02:09:22.331Z] GC before operation: completed in 304.946 ms, heap usage 301.501 MB -> 89.618 MB. [2026-01-11T02:09:38.248Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T02:09:58.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T02:10:15.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:10:31.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:10:38.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:10:47.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:10:53.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:11:03.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:11:03.441Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:11:03.441Z] The best model improves the baseline by 14.52%. [2026-01-11T02:11:03.906Z] Top recommended movies for user id 72: [2026-01-11T02:11:03.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:11:03.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:11:03.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:11:03.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:11:03.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:11:03.906Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (101452.341 ms) ====== [2026-01-11T02:11:03.906Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-11T02:11:04.547Z] GC before operation: completed in 414.136 ms, heap usage 566.360 MB -> 93.291 MB. [2026-01-11T02:11:23.533Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-11T02:11:34.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-11T02:11:47.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-11T02:11:58.101Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-11T02:12:05.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-11T02:12:15.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-11T02:12:23.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-11T02:12:35.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-11T02:12:35.280Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-11T02:12:35.280Z] The best model improves the baseline by 14.52%. [2026-01-11T02:12:35.879Z] Top recommended movies for user id 72: [2026-01-11T02:12:35.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-11T02:12:35.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-11T02:12:35.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-11T02:12:35.879Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-11T02:12:35.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-11T02:12:35.879Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (91688.706 ms) ====== [2026-01-11T02:12:41.664Z] ----------------------------------- [2026-01-11T02:12:41.664Z] renaissance-movie-lens_0_PASSED [2026-01-11T02:12:41.664Z] ----------------------------------- [2026-01-11T02:12:41.664Z] [2026-01-11T02:12:41.664Z] TEST TEARDOWN: [2026-01-11T02:12:41.664Z] Nothing to be done for teardown. [2026-01-11T02:12:42.606Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 21:12:42 2026 Epoch Time (ms): 1768097562101