[2026-02-26T22:45:47.973Z] Running test renaissance-movie-lens_0 ... [2026-02-26T22:45:47.973Z] =============================================== [2026-02-26T22:45:47.973Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 22:45:47 2026 Epoch Time (ms): 1772145947378 [2026-02-26T22:45:47.973Z] variation: NoOptions [2026-02-26T22:45:47.973Z] JVM_OPTIONS: [2026-02-26T22:45:47.973Z] { \ [2026-02-26T22:45:47.973Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T22:45:47.973Z] echo "Nothing to be done for setup."; \ [2026-02-26T22:45:47.973Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721446191547/renaissance-movie-lens_0"; \ [2026-02-26T22:45:47.973Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721446191547/renaissance-movie-lens_0"; \ [2026-02-26T22:45:47.973Z] echo ""; echo "TESTING:"; \ [2026-02-26T22:45:47.973Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721446191547/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T22:45:47.973Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721446191547/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T22:45:47.973Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T22:45:47.973Z] echo "Nothing to be done for teardown."; \ [2026-02-26T22:45:47.973Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17721446191547/TestTargetResult"; [2026-02-26T22:45:47.973Z] [2026-02-26T22:45:47.973Z] TEST SETUP: [2026-02-26T22:45:47.973Z] Nothing to be done for setup. [2026-02-26T22:45:47.973Z] [2026-02-26T22:45:47.973Z] TESTING: [2026-02-26T22:45:47.973Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-26T22:45:47.973Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17721446191547/renaissance-movie-lens_0/launcher-224547-5647880021329861948/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-26T22:45:47.973Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-26T22:45:47.973Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-26T22:45:52.800Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-26T22:46:00.557Z] 22:45:59.893 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-26T22:46:03.495Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T22:46:04.136Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T22:46:04.136Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T22:46:04.136Z] GC before operation: completed in 166.053 ms, heap usage 306.381 MB -> 75.471 MB. [2026-02-26T22:46:12.886Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:46:18.903Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:46:23.826Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:46:27.678Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:46:29.769Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:46:31.867Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:46:34.798Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:46:36.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:46:36.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:46:36.774Z] The best model improves the baseline by 14.34%. [2026-02-26T22:46:36.774Z] Top recommended movies for user id 72: [2026-02-26T22:46:36.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:46:36.774Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:46:36.774Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:46:36.774Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:46:36.774Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:46:36.774Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32804.340 ms) ====== [2026-02-26T22:46:36.774Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T22:46:37.417Z] GC before operation: completed in 172.199 ms, heap usage 307.562 MB -> 88.237 MB. [2026-02-26T22:46:40.330Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:46:44.140Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:46:47.049Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:46:49.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:46:51.305Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:46:53.389Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:46:54.720Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:46:56.808Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:46:56.808Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:46:56.808Z] The best model improves the baseline by 14.34%. [2026-02-26T22:46:57.455Z] Top recommended movies for user id 72: [2026-02-26T22:46:57.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:46:57.455Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:46:57.455Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:46:57.455Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:46:57.455Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:46:57.455Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19960.390 ms) ====== [2026-02-26T22:46:57.455Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T22:46:57.455Z] GC before operation: completed in 152.584 ms, heap usage 115.748 MB -> 90.863 MB. [2026-02-26T22:47:00.442Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:47:02.528Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:47:05.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:47:08.361Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:47:09.704Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:47:11.180Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:47:13.273Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:47:14.614Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:47:15.260Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:47:15.260Z] The best model improves the baseline by 14.34%. [2026-02-26T22:47:15.260Z] Top recommended movies for user id 72: [2026-02-26T22:47:15.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:47:15.260Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:47:15.260Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:47:15.260Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:47:15.260Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:47:15.260Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18012.881 ms) ====== [2026-02-26T22:47:15.260Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T22:47:15.260Z] GC before operation: completed in 161.930 ms, heap usage 302.904 MB -> 88.410 MB. [2026-02-26T22:47:18.177Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:47:21.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:47:24.045Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:47:26.126Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:47:28.307Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:47:29.637Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:47:30.980Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:47:33.067Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:47:33.067Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:47:33.067Z] The best model improves the baseline by 14.34%. [2026-02-26T22:47:33.067Z] Top recommended movies for user id 72: [2026-02-26T22:47:33.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:47:33.067Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:47:33.067Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:47:33.067Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:47:33.067Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:47:33.067Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17772.382 ms) ====== [2026-02-26T22:47:33.067Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T22:47:33.711Z] GC before operation: completed in 166.833 ms, heap usage 196.399 MB -> 88.497 MB. [2026-02-26T22:47:35.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:47:38.743Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:47:41.649Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:47:43.737Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:47:45.824Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:47:47.162Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:47:48.588Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:47:50.736Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:47:50.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:47:50.736Z] The best model improves the baseline by 14.34%. [2026-02-26T22:47:50.736Z] Top recommended movies for user id 72: [2026-02-26T22:47:50.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:47:50.736Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:47:50.736Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:47:50.736Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:47:50.736Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:47:50.736Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17416.029 ms) ====== [2026-02-26T22:47:50.736Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T22:47:50.736Z] GC before operation: completed in 166.274 ms, heap usage 197.372 MB -> 88.437 MB. [2026-02-26T22:47:53.644Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:47:56.595Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:47:58.703Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:48:01.637Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:48:03.010Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:48:04.361Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:48:05.725Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:48:07.861Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:48:07.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:48:07.861Z] The best model improves the baseline by 14.34%. [2026-02-26T22:48:07.861Z] Top recommended movies for user id 72: [2026-02-26T22:48:07.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:48:07.861Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:48:07.861Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:48:07.861Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:48:07.861Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:48:07.861Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16911.795 ms) ====== [2026-02-26T22:48:07.861Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T22:48:07.861Z] GC before operation: completed in 159.551 ms, heap usage 206.076 MB -> 93.523 MB. [2026-02-26T22:48:10.395Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:48:13.320Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:48:15.412Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:48:18.380Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:48:20.478Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:48:21.904Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:48:23.247Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:48:24.580Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:48:25.228Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:48:25.228Z] The best model improves the baseline by 14.34%. [2026-02-26T22:48:25.228Z] Top recommended movies for user id 72: [2026-02-26T22:48:25.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:48:25.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:48:25.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:48:25.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:48:25.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:48:25.228Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17126.154 ms) ====== [2026-02-26T22:48:25.228Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T22:48:25.228Z] GC before operation: completed in 153.831 ms, heap usage 167.163 MB -> 88.825 MB. [2026-02-26T22:48:28.134Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:48:30.229Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:48:33.207Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:48:35.321Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:48:36.665Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:48:38.754Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:48:40.087Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:48:42.273Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:48:42.273Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:48:42.273Z] The best model improves the baseline by 14.34%. [2026-02-26T22:48:42.273Z] Top recommended movies for user id 72: [2026-02-26T22:48:42.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:48:42.273Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:48:42.273Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:48:42.273Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:48:42.273Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:48:42.273Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16836.756 ms) ====== [2026-02-26T22:48:42.273Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T22:48:42.273Z] GC before operation: completed in 152.070 ms, heap usage 142.755 MB -> 92.591 MB. [2026-02-26T22:48:45.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:48:47.325Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:48:50.249Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:48:52.352Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:48:53.697Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:48:55.036Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:48:56.385Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:48:57.726Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:48:58.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:48:58.378Z] The best model improves the baseline by 14.34%. [2026-02-26T22:48:58.378Z] Top recommended movies for user id 72: [2026-02-26T22:48:58.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:48:58.378Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:48:58.378Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:48:58.378Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:48:58.378Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:48:58.378Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16119.766 ms) ====== [2026-02-26T22:48:58.378Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T22:48:58.378Z] GC before operation: completed in 168.601 ms, heap usage 188.192 MB -> 88.852 MB. [2026-02-26T22:49:01.297Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:49:03.435Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:49:06.354Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:49:08.462Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:49:10.560Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:49:11.895Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:49:13.226Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:49:15.318Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:49:15.318Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:49:15.318Z] The best model improves the baseline by 14.34%. [2026-02-26T22:49:15.318Z] Top recommended movies for user id 72: [2026-02-26T22:49:15.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:49:15.318Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:49:15.318Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:49:15.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:49:15.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:49:15.318Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16753.991 ms) ====== [2026-02-26T22:49:15.318Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T22:49:15.318Z] GC before operation: completed in 175.340 ms, heap usage 188.165 MB -> 89.011 MB. [2026-02-26T22:49:17.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:49:20.701Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:49:22.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:49:24.886Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:49:26.977Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:49:28.317Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:49:30.400Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:49:31.731Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:49:31.731Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:49:31.731Z] The best model improves the baseline by 14.34%. [2026-02-26T22:49:31.731Z] Top recommended movies for user id 72: [2026-02-26T22:49:31.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:49:31.731Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:49:31.731Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:49:31.731Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:49:31.731Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:49:31.731Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16235.802 ms) ====== [2026-02-26T22:49:31.731Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T22:49:31.731Z] GC before operation: completed in 160.118 ms, heap usage 228.936 MB -> 88.805 MB. [2026-02-26T22:49:34.634Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:49:36.733Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:49:39.666Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:49:41.790Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:49:43.124Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:49:44.459Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:49:45.790Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:49:47.120Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:49:47.796Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:49:47.796Z] The best model improves the baseline by 14.34%. [2026-02-26T22:49:47.796Z] Top recommended movies for user id 72: [2026-02-26T22:49:47.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:49:47.796Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:49:47.796Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:49:47.796Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:49:47.796Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:49:47.796Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15787.289 ms) ====== [2026-02-26T22:49:47.796Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T22:49:47.796Z] GC before operation: completed in 151.865 ms, heap usage 174.164 MB -> 88.938 MB. [2026-02-26T22:49:50.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:49:52.798Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:49:55.709Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:49:57.795Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:49:59.127Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:50:00.464Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:50:01.796Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:50:03.882Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:50:03.882Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:50:03.882Z] The best model improves the baseline by 14.34%. [2026-02-26T22:50:03.882Z] Top recommended movies for user id 72: [2026-02-26T22:50:03.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:50:03.882Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:50:03.882Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:50:03.882Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:50:03.882Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:50:03.882Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16036.852 ms) ====== [2026-02-26T22:50:03.882Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T22:50:03.882Z] GC before operation: completed in 156.510 ms, heap usage 139.566 MB -> 89.070 MB. [2026-02-26T22:50:06.786Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:50:08.904Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:50:11.811Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:50:13.892Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:50:15.227Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:50:16.555Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:50:17.887Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:50:19.219Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:50:19.860Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:50:19.860Z] The best model improves the baseline by 14.34%. [2026-02-26T22:50:19.860Z] Top recommended movies for user id 72: [2026-02-26T22:50:19.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:50:19.860Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:50:19.860Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:50:19.860Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:50:19.860Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:50:19.860Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15776.388 ms) ====== [2026-02-26T22:50:19.860Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T22:50:19.860Z] GC before operation: completed in 155.854 ms, heap usage 200.981 MB -> 88.909 MB. [2026-02-26T22:50:22.347Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:50:25.260Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:50:27.340Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:50:30.245Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:50:31.577Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:50:32.911Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:50:34.245Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:50:35.577Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:50:36.218Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:50:36.218Z] The best model improves the baseline by 14.34%. [2026-02-26T22:50:36.218Z] Top recommended movies for user id 72: [2026-02-26T22:50:36.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:50:36.218Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:50:36.218Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:50:36.218Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:50:36.218Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:50:36.218Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16035.935 ms) ====== [2026-02-26T22:50:36.218Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T22:50:36.218Z] GC before operation: completed in 154.394 ms, heap usage 142.603 MB -> 89.070 MB. [2026-02-26T22:50:38.299Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:50:41.235Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:50:43.334Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:50:45.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:50:46.758Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:50:48.854Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:50:50.201Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:50:51.549Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:50:52.191Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:50:52.191Z] The best model improves the baseline by 14.34%. [2026-02-26T22:50:52.191Z] Top recommended movies for user id 72: [2026-02-26T22:50:52.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:50:52.191Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:50:52.191Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:50:52.191Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:50:52.191Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:50:52.191Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15834.024 ms) ====== [2026-02-26T22:50:52.191Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T22:50:52.191Z] GC before operation: completed in 154.854 ms, heap usage 161.337 MB -> 88.961 MB. [2026-02-26T22:50:54.325Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:50:57.235Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:50:59.346Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:51:01.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:51:02.775Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:51:04.122Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:51:06.253Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:51:07.590Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:51:07.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:51:07.590Z] The best model improves the baseline by 14.34%. [2026-02-26T22:51:07.590Z] Top recommended movies for user id 72: [2026-02-26T22:51:07.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:51:07.590Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:51:07.590Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:51:07.590Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:51:07.590Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:51:07.590Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15415.274 ms) ====== [2026-02-26T22:51:07.590Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T22:51:07.590Z] GC before operation: completed in 157.063 ms, heap usage 346.514 MB -> 89.425 MB. [2026-02-26T22:51:10.541Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:51:12.637Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:51:14.718Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:51:17.682Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:51:19.019Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:51:20.354Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:51:21.705Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:51:22.749Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:51:23.391Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:51:23.391Z] The best model improves the baseline by 14.34%. [2026-02-26T22:51:23.391Z] Top recommended movies for user id 72: [2026-02-26T22:51:23.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:51:23.391Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:51:23.391Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:51:23.391Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:51:23.391Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:51:23.391Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15628.091 ms) ====== [2026-02-26T22:51:23.391Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T22:51:23.391Z] GC before operation: completed in 156.585 ms, heap usage 197.991 MB -> 88.885 MB. [2026-02-26T22:51:26.322Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:51:28.430Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:51:30.515Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:51:33.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:51:34.079Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:51:35.421Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:51:37.518Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:51:38.892Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:51:38.893Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:51:38.893Z] The best model improves the baseline by 14.34%. [2026-02-26T22:51:38.893Z] Top recommended movies for user id 72: [2026-02-26T22:51:38.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:51:38.893Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:51:38.893Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:51:38.893Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:51:38.893Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:51:38.893Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15525.540 ms) ====== [2026-02-26T22:51:38.893Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T22:51:39.533Z] GC before operation: completed in 154.949 ms, heap usage 188.499 MB -> 89.085 MB. [2026-02-26T22:51:41.615Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:51:43.715Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:51:46.642Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:51:48.732Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:51:50.078Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:51:51.428Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:51:52.770Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:51:54.108Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:51:54.749Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T22:51:54.749Z] The best model improves the baseline by 14.34%. [2026-02-26T22:51:54.749Z] Top recommended movies for user id 72: [2026-02-26T22:51:54.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:51:54.749Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:51:54.749Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:51:54.749Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:51:54.749Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:51:54.749Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15523.167 ms) ====== [2026-02-26T22:51:55.406Z] ----------------------------------- [2026-02-26T22:51:55.406Z] renaissance-movie-lens_0_PASSED [2026-02-26T22:51:55.406Z] ----------------------------------- [2026-02-26T22:51:55.406Z] [2026-02-26T22:51:55.406Z] TEST TEARDOWN: [2026-02-26T22:51:55.406Z] Nothing to be done for teardown. [2026-02-26T22:51:55.406Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 22:51:54 2026 Epoch Time (ms): 1772146314799