[2026-03-18T06:23:33.586Z] Running test renaissance-movie-lens_0 ... [2026-03-18T06:23:33.586Z] =============================================== [2026-03-18T06:23:33.586Z] renaissance-movie-lens_0 Start Time: Wed Mar 18 02:23:33 2026 Epoch Time (ms): 1773815013414 [2026-03-18T06:23:34.191Z] variation: NoOptions [2026-03-18T06:23:34.191Z] JVM_OPTIONS: [2026-03-18T06:23:34.191Z] { \ [2026-03-18T06:23:34.191Z] echo ""; echo "TEST SETUP:"; \ [2026-03-18T06:23:34.191Z] echo "Nothing to be done for setup."; \ [2026-03-18T06:23:34.191Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk26_hs_extended.perf_x86-64_mac_rerun/aqa-tests/TKG/../TKG/output_17738126637829/renaissance-movie-lens_0"; \ [2026-03-18T06:23:34.191Z] cd "/Users/admin/workspace/workspace/Test_openjdk26_hs_extended.perf_x86-64_mac_rerun/aqa-tests/TKG/../TKG/output_17738126637829/renaissance-movie-lens_0"; \ [2026-03-18T06:23:34.191Z] echo ""; echo "TESTING:"; \ [2026-03-18T06:23:34.191Z] "/Users/admin/workspace/workspace/Test_openjdk26_hs_extended.perf_x86-64_mac_rerun/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_openjdk26_hs_extended.perf_x86-64_mac_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk26_hs_extended.perf_x86-64_mac_rerun/aqa-tests/TKG/../TKG/output_17738126637829/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-18T06:23:34.191Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk26_hs_extended.perf_x86-64_mac_rerun/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk26_hs_extended.perf_x86-64_mac_rerun/aqa-tests/TKG/../TKG/output_17738126637829/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-18T06:23:34.191Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-18T06:23:34.191Z] echo "Nothing to be done for teardown."; \ [2026-03-18T06:23:34.191Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk26_hs_extended.perf_x86-64_mac_rerun/aqa-tests/TKG/../TKG/output_17738126637829/TestTargetResult"; [2026-03-18T06:23:34.791Z] [2026-03-18T06:23:34.791Z] TEST SETUP: [2026-03-18T06:23:34.791Z] Nothing to be done for setup. [2026-03-18T06:23:34.791Z] [2026-03-18T06:23:34.791Z] TESTING: [2026-03-18T06:23:37.862Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-18T06:23:37.862Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-18T06:23:37.862Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-18T06:23:37.862Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-18T06:24:07.875Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-18T06:24:33.852Z] 02:24:31.871 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-18T06:24:40.126Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-18T06:24:41.311Z] Training: 60056, validation: 20285, test: 19854 [2026-03-18T06:24:41.311Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-18T06:24:41.806Z] GC before operation: completed in 340.004 ms, heap usage 347.690 MB -> 75.851 MB. [2026-03-18T06:25:13.687Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:25:30.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:25:45.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:25:56.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:26:02.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:26:10.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:26:17.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:26:25.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:26:26.627Z] 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. [2026-03-18T06:26:26.627Z] The best model improves the baseline by 14.52%. [2026-03-18T06:26:27.058Z] Top recommended movies for user id 72: [2026-03-18T06:26:27.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:26:27.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:26:27.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:26:27.058Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:26:27.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:26:27.058Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (105300.714 ms) ====== [2026-03-18T06:26:27.058Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-18T06:26:27.058Z] GC before operation: completed in 198.951 ms, heap usage 396.567 MB -> 88.790 MB. [2026-03-18T06:26:42.641Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:26:51.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:27:00.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:27:08.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:27:12.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:27:17.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:27:23.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:27:29.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:27:29.755Z] 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. [2026-03-18T06:27:29.755Z] The best model improves the baseline by 14.52%. [2026-03-18T06:27:30.236Z] Top recommended movies for user id 72: [2026-03-18T06:27:30.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:27:30.236Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:27:30.236Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:27:30.236Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:27:30.236Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:27:30.236Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (62921.362 ms) ====== [2026-03-18T06:27:30.236Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-18T06:27:30.236Z] GC before operation: completed in 242.839 ms, heap usage 776.244 MB -> 93.041 MB. [2026-03-18T06:27:43.336Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:27:54.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:28:03.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:28:13.972Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:28:17.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:28:23.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:28:30.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:28:35.901Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:28:36.926Z] 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. [2026-03-18T06:28:36.926Z] The best model improves the baseline by 14.52%. [2026-03-18T06:28:37.333Z] Top recommended movies for user id 72: [2026-03-18T06:28:37.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:28:37.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:28:37.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:28:37.333Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:28:37.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:28:37.333Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (66854.500 ms) ====== [2026-03-18T06:28:37.333Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-18T06:28:37.333Z] GC before operation: completed in 300.757 ms, heap usage 299.826 MB -> 89.222 MB. [2026-03-18T06:28:48.339Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:28:55.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:29:04.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:29:14.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:29:19.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:29:24.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:29:30.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:29:37.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:29:38.215Z] 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. [2026-03-18T06:29:38.650Z] The best model improves the baseline by 14.52%. [2026-03-18T06:29:38.650Z] Top recommended movies for user id 72: [2026-03-18T06:29:38.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:29:38.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:29:38.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:29:38.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:29:38.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:29:38.650Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61305.518 ms) ====== [2026-03-18T06:29:38.650Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-18T06:29:39.087Z] GC before operation: completed in 207.232 ms, heap usage 146.776 MB -> 93.520 MB. [2026-03-18T06:29:49.948Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:30:01.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:30:13.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:30:21.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:30:25.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:30:32.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:30:38.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:30:43.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:30:43.762Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-18T06:30:43.762Z] The best model improves the baseline by 14.52%. [2026-03-18T06:30:44.204Z] Top recommended movies for user id 72: [2026-03-18T06:30:44.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:30:44.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:30:44.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:30:44.204Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:30:44.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:30:44.204Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (65092.914 ms) ====== [2026-03-18T06:30:44.204Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-18T06:30:44.204Z] GC before operation: completed in 272.011 ms, heap usage 127.119 MB -> 92.419 MB. [2026-03-18T06:30:54.746Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:31:00.518Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:31:09.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:31:16.484Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:31:20.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:31:26.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:31:34.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:31:40.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:31:40.825Z] 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. [2026-03-18T06:31:40.825Z] The best model improves the baseline by 14.52%. [2026-03-18T06:31:41.384Z] Top recommended movies for user id 72: [2026-03-18T06:31:41.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:31:41.384Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:31:41.384Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:31:41.384Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:31:41.384Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:31:41.384Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57022.616 ms) ====== [2026-03-18T06:31:41.384Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-18T06:31:41.860Z] GC before operation: completed in 216.455 ms, heap usage 339.027 MB -> 90.050 MB. [2026-03-18T06:31:52.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:32:02.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:32:13.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:32:20.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:32:25.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:32:29.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:32:35.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:32:40.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:32:41.100Z] 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. [2026-03-18T06:32:41.542Z] The best model improves the baseline by 14.52%. [2026-03-18T06:32:41.950Z] Top recommended movies for user id 72: [2026-03-18T06:32:41.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:32:41.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:32:41.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:32:41.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:32:41.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:32:41.950Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (60271.916 ms) ====== [2026-03-18T06:32:41.950Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-18T06:32:41.950Z] GC before operation: completed in 231.183 ms, heap usage 314.379 MB -> 90.003 MB. [2026-03-18T06:32:52.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:33:02.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:33:13.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:33:19.960Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:33:24.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:33:29.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:33:35.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:33:40.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:33:40.689Z] 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. [2026-03-18T06:33:41.239Z] The best model improves the baseline by 14.52%. [2026-03-18T06:33:42.353Z] Top recommended movies for user id 72: [2026-03-18T06:33:42.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:33:42.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:33:42.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:33:42.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:33:42.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:33:42.353Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (60119.979 ms) ====== [2026-03-18T06:33:42.353Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-18T06:33:42.768Z] GC before operation: completed in 329.590 ms, heap usage 140.702 MB -> 91.498 MB. [2026-03-18T06:33:54.988Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:34:04.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:34:11.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:34:22.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:34:27.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:34:31.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:34:37.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:34:42.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:34:43.168Z] 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. [2026-03-18T06:34:43.168Z] The best model improves the baseline by 14.52%. [2026-03-18T06:34:43.678Z] Top recommended movies for user id 72: [2026-03-18T06:34:43.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:34:43.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:34:43.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:34:43.678Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:34:43.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:34:43.678Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (61039.090 ms) ====== [2026-03-18T06:34:43.678Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-18T06:34:44.261Z] GC before operation: completed in 741.226 ms, heap usage 669.222 MB -> 93.806 MB. [2026-03-18T06:34:56.631Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:35:04.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:35:12.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:35:21.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:35:27.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:35:31.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:35:36.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:35:39.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:35:40.229Z] 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. [2026-03-18T06:35:40.229Z] The best model improves the baseline by 14.52%. [2026-03-18T06:35:40.670Z] Top recommended movies for user id 72: [2026-03-18T06:35:40.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:35:40.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:35:40.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:35:40.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:35:40.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:35:40.670Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (56230.540 ms) ====== [2026-03-18T06:35:40.670Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-18T06:35:40.670Z] GC before operation: completed in 216.326 ms, heap usage 210.637 MB -> 90.244 MB. [2026-03-18T06:35:47.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:36:00.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:36:09.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:36:19.091Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:36:24.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:36:28.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:36:33.649Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:36:39.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:36:39.491Z] 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. [2026-03-18T06:36:39.491Z] The best model improves the baseline by 14.52%. [2026-03-18T06:36:39.491Z] Top recommended movies for user id 72: [2026-03-18T06:36:39.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:36:39.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:36:39.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:36:39.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:36:39.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:36:39.491Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (58536.947 ms) ====== [2026-03-18T06:36:39.491Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-18T06:36:39.989Z] GC before operation: completed in 401.785 ms, heap usage 387.919 MB -> 90.216 MB. [2026-03-18T06:36:46.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:36:54.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:37:04.417Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:37:14.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:37:20.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:37:29.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:37:29.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:37:37.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:37:37.833Z] 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. [2026-03-18T06:37:37.833Z] The best model improves the baseline by 14.52%. [2026-03-18T06:37:37.833Z] Top recommended movies for user id 72: [2026-03-18T06:37:37.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:37:37.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:37:37.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:37:37.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:37:37.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:37:37.833Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (52538.932 ms) ====== [2026-03-18T06:37:37.833Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-18T06:37:37.833Z] GC before operation: completed in 195.892 ms, heap usage 654.393 MB -> 94.023 MB. [2026-03-18T06:37:45.710Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:37:51.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:38:00.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:38:09.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:38:14.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:38:20.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:38:26.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:38:31.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:38:31.707Z] 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. [2026-03-18T06:38:31.707Z] The best model improves the baseline by 14.52%. [2026-03-18T06:38:32.190Z] Top recommended movies for user id 72: [2026-03-18T06:38:32.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:38:32.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:38:32.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:38:32.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:38:32.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:38:32.190Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (59423.967 ms) ====== [2026-03-18T06:38:32.190Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-18T06:38:32.190Z] GC before operation: completed in 173.001 ms, heap usage 338.053 MB -> 90.465 MB. [2026-03-18T06:38:42.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:38:52.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:39:00.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:39:11.697Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:39:17.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:39:21.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:39:27.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:39:33.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:39:34.706Z] 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. [2026-03-18T06:39:34.707Z] The best model improves the baseline by 14.52%. [2026-03-18T06:39:35.426Z] Top recommended movies for user id 72: [2026-03-18T06:39:35.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:39:35.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:39:35.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:39:35.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:39:35.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:39:35.426Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (62791.333 ms) ====== [2026-03-18T06:39:35.426Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-18T06:39:35.849Z] GC before operation: completed in 1100.104 ms, heap usage 806.398 MB -> 94.134 MB. [2026-03-18T06:39:44.611Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:39:53.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:40:03.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:40:10.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:40:15.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:40:18.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:40:24.152Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:40:28.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:40:28.983Z] 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. [2026-03-18T06:40:28.983Z] The best model improves the baseline by 14.52%. [2026-03-18T06:40:29.608Z] Top recommended movies for user id 72: [2026-03-18T06:40:29.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:40:29.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:40:29.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:40:29.608Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:40:29.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:40:29.608Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53501.899 ms) ====== [2026-03-18T06:40:29.608Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-18T06:40:30.185Z] GC before operation: completed in 641.827 ms, heap usage 871.365 MB -> 94.642 MB. [2026-03-18T06:40:38.710Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:40:45.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:40:54.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:41:03.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:41:09.932Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:41:15.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:41:20.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:41:25.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:41:25.452Z] 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. [2026-03-18T06:41:25.452Z] The best model improves the baseline by 14.52%. [2026-03-18T06:41:25.452Z] Top recommended movies for user id 72: [2026-03-18T06:41:25.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:41:25.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:41:25.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:41:25.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:41:25.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:41:25.452Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55461.880 ms) ====== [2026-03-18T06:41:25.452Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-18T06:41:25.908Z] GC before operation: completed in 234.719 ms, heap usage 326.838 MB -> 90.363 MB. [2026-03-18T06:41:36.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:41:44.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:41:51.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:42:00.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:42:04.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:42:09.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:42:14.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:42:17.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:42:17.938Z] 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. [2026-03-18T06:42:17.938Z] The best model improves the baseline by 14.52%. [2026-03-18T06:42:17.938Z] Top recommended movies for user id 72: [2026-03-18T06:42:17.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:42:17.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:42:17.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:42:17.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:42:17.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:42:17.938Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (52122.142 ms) ====== [2026-03-18T06:42:17.938Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-18T06:42:18.321Z] GC before operation: completed in 239.984 ms, heap usage 423.773 MB -> 90.536 MB. [2026-03-18T06:42:26.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:42:33.793Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:42:42.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:42:51.936Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:42:58.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:43:01.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:43:08.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:43:14.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:43:15.328Z] 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. [2026-03-18T06:43:15.328Z] The best model improves the baseline by 14.52%. [2026-03-18T06:43:15.768Z] Top recommended movies for user id 72: [2026-03-18T06:43:15.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:43:15.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:43:15.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:43:15.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:43:15.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:43:15.768Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (57371.441 ms) ====== [2026-03-18T06:43:15.768Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-18T06:43:15.768Z] GC before operation: completed in 285.934 ms, heap usage 212.188 MB -> 95.716 MB. [2026-03-18T06:43:24.430Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:43:35.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:43:42.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:43:50.088Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:43:53.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:43:58.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:44:04.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:44:10.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:44:10.651Z] 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. [2026-03-18T06:44:10.651Z] The best model improves the baseline by 14.52%. [2026-03-18T06:44:11.097Z] Top recommended movies for user id 72: [2026-03-18T06:44:11.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:44:11.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:44:11.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:44:11.097Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:44:11.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:44:11.097Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (55119.767 ms) ====== [2026-03-18T06:44:11.097Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-18T06:44:11.097Z] GC before operation: completed in 234.980 ms, heap usage 252.169 MB -> 90.297 MB. [2026-03-18T06:44:22.050Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T06:44:32.491Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T06:44:41.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T06:44:49.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T06:44:55.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T06:45:00.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T06:45:04.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T06:45:09.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T06:45:10.766Z] 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. [2026-03-18T06:45:10.766Z] The best model improves the baseline by 14.52%. [2026-03-18T06:45:11.187Z] Top recommended movies for user id 72: [2026-03-18T06:45:11.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-18T06:45:11.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-18T06:45:11.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-18T06:45:11.187Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-18T06:45:11.187Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-18T06:45:11.187Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (60031.640 ms) ====== [2026-03-18T06:45:15.859Z] ----------------------------------- [2026-03-18T06:45:15.859Z] renaissance-movie-lens_0_PASSED [2026-03-18T06:45:15.859Z] ----------------------------------- [2026-03-18T06:45:15.859Z] [2026-03-18T06:45:15.859Z] TEST TEARDOWN: [2026-03-18T06:45:15.859Z] Nothing to be done for teardown. [2026-03-18T06:45:15.859Z] renaissance-movie-lens_0 Finish Time: Wed Mar 18 02:45:15 2026 Epoch Time (ms): 1773816315612