[2026-02-26T22:30:13.348Z] Running test renaissance-movie-lens_0 ... [2026-02-26T22:30:13.348Z] =============================================== [2026-02-26T22:30:13.348Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 17:30:12 2026 Epoch Time (ms): 1772145012917 [2026-02-26T22:30:13.348Z] variation: NoOptions [2026-02-26T22:30:13.348Z] JVM_OPTIONS: [2026-02-26T22:30:13.348Z] { \ [2026-02-26T22:30:13.348Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T22:30:13.348Z] echo "Nothing to be done for setup."; \ [2026-02-26T22:30:13.348Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721438064184/renaissance-movie-lens_0"; \ [2026-02-26T22:30:13.348Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721438064184/renaissance-movie-lens_0"; \ [2026-02-26T22:30:13.348Z] echo ""; echo "TESTING:"; \ [2026-02-26T22:30:13.348Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721438064184/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T22:30:13.348Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721438064184/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T22:30:13.348Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T22:30:13.348Z] echo "Nothing to be done for teardown."; \ [2026-02-26T22:30:13.348Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721438064184/TestTargetResult"; [2026-02-26T22:30:13.348Z] [2026-02-26T22:30:13.348Z] TEST SETUP: [2026-02-26T22:30:13.348Z] Nothing to be done for setup. [2026-02-26T22:30:13.348Z] [2026-02-26T22:30:13.348Z] TESTING: [2026-02-26T22:30:14.022Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-26T22:30:14.022Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17721438064184/renaissance-movie-lens_0/launcher-173013-6239672993210267347/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-26T22:30:14.022Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-26T22:30:14.022Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-26T22:30:19.173Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-26T22:30:26.205Z] 17:30:25.558 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-26T22:30:28.554Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T22:30:29.262Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T22:30:29.262Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T22:30:30.039Z] GC before operation: completed in 365.809 ms, heap usage 193.444 MB -> 75.565 MB. [2026-02-26T22:30:37.993Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:30:43.190Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:30:47.340Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:30:50.517Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:30:52.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:30:54.932Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:30:57.140Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:30:59.403Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:30:59.403Z] 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. [2026-02-26T22:30:59.403Z] The best model improves the baseline by 14.34%. [2026-02-26T22:30:59.403Z] Top recommended movies for user id 72: [2026-02-26T22:30:59.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:30:59.403Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:30:59.403Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:30:59.403Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:30:59.403Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:30:59.403Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29942.428 ms) ====== [2026-02-26T22:30:59.403Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T22:31:00.149Z] GC before operation: completed in 243.351 ms, heap usage 215.843 MB -> 94.516 MB. [2026-02-26T22:31:03.255Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:31:06.298Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:31:09.391Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:31:12.469Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:31:14.672Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:31:16.902Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:31:19.077Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:31:21.283Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:31:21.283Z] 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. [2026-02-26T22:31:21.283Z] The best model improves the baseline by 14.34%. [2026-02-26T22:31:21.283Z] Top recommended movies for user id 72: [2026-02-26T22:31:21.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:31:21.283Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:31:21.283Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:31:21.283Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:31:21.283Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:31:21.283Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21640.306 ms) ====== [2026-02-26T22:31:21.283Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T22:31:22.065Z] GC before operation: completed in 221.190 ms, heap usage 211.511 MB -> 87.798 MB. [2026-02-26T22:31:25.187Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:31:28.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:31:33.265Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:31:35.585Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:31:37.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:31:40.125Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:31:41.572Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:31:43.863Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:31:43.863Z] 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. [2026-02-26T22:31:43.863Z] The best model improves the baseline by 14.34%. [2026-02-26T22:31:44.641Z] Top recommended movies for user id 72: [2026-02-26T22:31:44.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:31:44.641Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:31:44.641Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:31:44.641Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:31:44.641Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:31:44.641Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22561.425 ms) ====== [2026-02-26T22:31:44.641Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T22:31:44.641Z] GC before operation: completed in 216.174 ms, heap usage 301.906 MB -> 88.569 MB. [2026-02-26T22:31:47.779Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:31:51.861Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:31:55.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:31:58.239Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:32:00.506Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:32:02.768Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:32:05.032Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:32:07.241Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:32:07.241Z] 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. [2026-02-26T22:32:07.241Z] The best model improves the baseline by 14.34%. [2026-02-26T22:32:07.241Z] Top recommended movies for user id 72: [2026-02-26T22:32:07.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:32:07.241Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:32:07.241Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:32:07.241Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:32:07.241Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:32:07.241Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22935.417 ms) ====== [2026-02-26T22:32:07.241Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T22:32:07.943Z] GC before operation: completed in 207.973 ms, heap usage 168.714 MB -> 90.458 MB. [2026-02-26T22:32:11.041Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:32:15.228Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:32:18.405Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:32:22.444Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:32:23.896Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:32:26.169Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:32:28.487Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:32:29.918Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:32:30.675Z] 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. [2026-02-26T22:32:30.675Z] The best model improves the baseline by 14.34%. [2026-02-26T22:32:30.675Z] Top recommended movies for user id 72: [2026-02-26T22:32:30.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:32:30.675Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:32:30.675Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:32:30.675Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:32:30.675Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:32:30.675Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23080.391 ms) ====== [2026-02-26T22:32:30.676Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T22:32:30.676Z] GC before operation: completed in 224.204 ms, heap usage 235.402 MB -> 88.698 MB. [2026-02-26T22:32:34.745Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:32:38.475Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:32:41.677Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:32:43.879Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:32:46.128Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:32:47.548Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:32:49.819Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:32:52.115Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:32:52.115Z] 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. [2026-02-26T22:32:52.115Z] The best model improves the baseline by 14.34%. [2026-02-26T22:32:52.115Z] Top recommended movies for user id 72: [2026-02-26T22:32:52.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:32:52.115Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:32:52.115Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:32:52.115Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:32:52.115Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:32:52.115Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21317.484 ms) ====== [2026-02-26T22:32:52.115Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T22:32:52.816Z] GC before operation: completed in 204.013 ms, heap usage 197.474 MB -> 88.888 MB. [2026-02-26T22:32:55.859Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:32:59.082Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:33:03.205Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:33:06.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:33:08.617Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:33:10.104Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:33:12.447Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:33:14.736Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:33:14.736Z] 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. [2026-02-26T22:33:14.736Z] The best model improves the baseline by 14.34%. [2026-02-26T22:33:15.435Z] Top recommended movies for user id 72: [2026-02-26T22:33:15.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:33:15.435Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:33:15.435Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:33:15.435Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:33:15.435Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:33:15.435Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22672.851 ms) ====== [2026-02-26T22:33:15.435Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T22:33:15.435Z] GC before operation: completed in 194.722 ms, heap usage 338.839 MB -> 89.283 MB. [2026-02-26T22:33:19.629Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:33:22.905Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:33:27.050Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:33:31.119Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:33:33.324Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:33:34.713Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:33:36.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:33:39.743Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:33:39.743Z] 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. [2026-02-26T22:33:39.743Z] The best model improves the baseline by 14.34%. [2026-02-26T22:33:39.743Z] Top recommended movies for user id 72: [2026-02-26T22:33:39.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:33:39.743Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:33:39.743Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:33:39.743Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:33:39.743Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:33:39.743Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24465.534 ms) ====== [2026-02-26T22:33:39.743Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T22:33:39.743Z] GC before operation: completed in 243.813 ms, heap usage 253.470 MB -> 89.308 MB. [2026-02-26T22:33:43.905Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:33:48.018Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:33:52.082Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:33:54.355Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:33:56.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:33:58.909Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:34:01.157Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:34:03.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:34:03.439Z] 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. [2026-02-26T22:34:03.439Z] The best model improves the baseline by 14.34%. [2026-02-26T22:34:04.158Z] Top recommended movies for user id 72: [2026-02-26T22:34:04.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:34:04.159Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:34:04.159Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:34:04.159Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:34:04.159Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:34:04.159Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23930.280 ms) ====== [2026-02-26T22:34:04.159Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T22:34:04.159Z] GC before operation: completed in 259.168 ms, heap usage 439.945 MB -> 92.600 MB. [2026-02-26T22:34:08.169Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:34:11.237Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:34:15.388Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:34:18.555Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:34:20.044Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:34:22.265Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:34:24.510Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:34:25.965Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:34:26.705Z] 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. [2026-02-26T22:34:26.705Z] The best model improves the baseline by 14.34%. [2026-02-26T22:34:26.705Z] Top recommended movies for user id 72: [2026-02-26T22:34:26.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:34:26.705Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:34:26.705Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:34:26.705Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:34:26.705Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:34:26.705Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22609.958 ms) ====== [2026-02-26T22:34:26.705Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T22:34:27.424Z] GC before operation: completed in 189.974 ms, heap usage 142.784 MB -> 89.099 MB. [2026-02-26T22:34:30.490Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:34:33.612Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:34:37.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:34:39.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:34:42.740Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:34:44.211Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:34:46.387Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:34:47.785Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:34:48.522Z] 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. [2026-02-26T22:34:48.522Z] The best model improves the baseline by 14.34%. [2026-02-26T22:34:48.522Z] Top recommended movies for user id 72: [2026-02-26T22:34:48.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:34:48.522Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:34:48.522Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:34:48.522Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:34:48.522Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:34:48.522Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21393.451 ms) ====== [2026-02-26T22:34:48.522Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T22:34:48.522Z] GC before operation: completed in 205.710 ms, heap usage 174.815 MB -> 88.950 MB. [2026-02-26T22:34:51.651Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:34:54.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:34:58.954Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:35:02.099Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:35:03.546Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:35:05.698Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:35:07.897Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:35:09.422Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:35:09.422Z] 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. [2026-02-26T22:35:09.422Z] The best model improves the baseline by 14.34%. [2026-02-26T22:35:10.220Z] Top recommended movies for user id 72: [2026-02-26T22:35:10.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:35:10.220Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:35:10.220Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:35:10.220Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:35:10.220Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:35:10.220Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21182.021 ms) ====== [2026-02-26T22:35:10.220Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T22:35:10.220Z] GC before operation: completed in 207.310 ms, heap usage 140.192 MB -> 89.204 MB. [2026-02-26T22:35:13.267Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:35:16.354Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:35:19.469Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:35:22.687Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:35:24.151Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:35:26.431Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:35:28.707Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:35:31.014Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:35:31.014Z] 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. [2026-02-26T22:35:31.014Z] The best model improves the baseline by 14.34%. [2026-02-26T22:35:31.014Z] Top recommended movies for user id 72: [2026-02-26T22:35:31.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:35:31.014Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:35:31.014Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:35:31.014Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:35:31.014Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:35:31.014Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21122.927 ms) ====== [2026-02-26T22:35:31.014Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T22:35:31.014Z] GC before operation: completed in 180.586 ms, heap usage 197.655 MB -> 89.311 MB. [2026-02-26T22:35:34.116Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:35:37.271Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:35:41.388Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:35:44.570Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:35:46.076Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:35:48.008Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:35:50.274Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:35:52.568Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:35:52.568Z] 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. [2026-02-26T22:35:52.568Z] The best model improves the baseline by 14.34%. [2026-02-26T22:35:52.568Z] Top recommended movies for user id 72: [2026-02-26T22:35:52.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:35:52.568Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:35:52.568Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:35:52.568Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:35:52.568Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:35:52.568Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21357.463 ms) ====== [2026-02-26T22:35:52.568Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T22:35:52.568Z] GC before operation: completed in 201.301 ms, heap usage 117.163 MB -> 89.170 MB. [2026-02-26T22:35:56.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:35:59.910Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:36:03.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:36:06.248Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:36:08.528Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:36:10.029Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:36:12.273Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:36:14.506Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:36:14.506Z] 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. [2026-02-26T22:36:14.506Z] The best model improves the baseline by 14.34%. [2026-02-26T22:36:14.506Z] Top recommended movies for user id 72: [2026-02-26T22:36:14.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:36:14.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:36:14.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:36:14.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:36:14.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:36:14.506Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21868.954 ms) ====== [2026-02-26T22:36:14.506Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T22:36:15.197Z] GC before operation: completed in 220.493 ms, heap usage 225.030 MB -> 89.321 MB. [2026-02-26T22:36:18.331Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:36:22.407Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:36:26.469Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:36:29.666Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:36:31.990Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:36:34.278Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:36:36.547Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:36:38.826Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:36:38.826Z] 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. [2026-02-26T22:36:38.826Z] The best model improves the baseline by 14.34%. [2026-02-26T22:36:39.521Z] Top recommended movies for user id 72: [2026-02-26T22:36:39.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:36:39.521Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:36:39.521Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:36:39.521Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:36:39.521Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:36:39.521Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24263.978 ms) ====== [2026-02-26T22:36:39.521Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T22:36:39.521Z] GC before operation: completed in 206.445 ms, heap usage 207.293 MB -> 89.179 MB. [2026-02-26T22:36:43.627Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:36:46.830Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:36:50.956Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:36:53.875Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:36:56.135Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:36:58.378Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:37:00.620Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:37:02.048Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:37:02.735Z] 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. [2026-02-26T22:37:02.735Z] The best model improves the baseline by 14.34%. [2026-02-26T22:37:02.735Z] Top recommended movies for user id 72: [2026-02-26T22:37:02.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:37:02.735Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:37:02.735Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:37:02.736Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:37:02.736Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:37:02.736Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23205.485 ms) ====== [2026-02-26T22:37:02.736Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T22:37:02.736Z] GC before operation: completed in 194.620 ms, heap usage 441.852 MB -> 92.836 MB. [2026-02-26T22:37:06.833Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:37:10.026Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:37:14.117Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:37:17.216Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:37:19.561Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:37:21.007Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:37:23.296Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:37:25.567Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:37:25.567Z] 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. [2026-02-26T22:37:25.567Z] The best model improves the baseline by 14.34%. [2026-02-26T22:37:26.307Z] Top recommended movies for user id 72: [2026-02-26T22:37:26.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:37:26.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:37:26.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:37:26.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:37:26.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:37:26.307Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23172.409 ms) ====== [2026-02-26T22:37:26.307Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T22:37:26.307Z] GC before operation: completed in 199.018 ms, heap usage 370.517 MB -> 89.374 MB. [2026-02-26T22:37:29.447Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:37:33.420Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:37:36.551Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:37:40.592Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:37:42.865Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:37:44.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:37:47.410Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:37:48.886Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:37:49.624Z] 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. [2026-02-26T22:37:49.624Z] The best model improves the baseline by 14.34%. [2026-02-26T22:37:49.624Z] Top recommended movies for user id 72: [2026-02-26T22:37:49.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:37:49.624Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:37:49.624Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:37:49.624Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:37:49.624Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:37:49.624Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23181.864 ms) ====== [2026-02-26T22:37:49.624Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T22:37:49.624Z] GC before operation: completed in 218.819 ms, heap usage 301.310 MB -> 89.435 MB. [2026-02-26T22:37:53.707Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T22:37:57.462Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T22:38:00.656Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T22:38:03.788Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T22:38:05.260Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T22:38:07.556Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T22:38:09.032Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T22:38:11.311Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T22:38:11.311Z] 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. [2026-02-26T22:38:11.311Z] The best model improves the baseline by 14.34%. [2026-02-26T22:38:12.021Z] Top recommended movies for user id 72: [2026-02-26T22:38:12.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T22:38:12.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T22:38:12.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T22:38:12.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T22:38:12.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T22:38:12.021Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22140.213 ms) ====== [2026-02-26T22:38:12.021Z] ----------------------------------- [2026-02-26T22:38:12.021Z] renaissance-movie-lens_0_PASSED [2026-02-26T22:38:12.021Z] ----------------------------------- [2026-02-26T22:38:12.021Z] [2026-02-26T22:38:12.021Z] TEST TEARDOWN: [2026-02-26T22:38:12.021Z] Nothing to be done for teardown. [2026-02-26T22:38:12.021Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 17:38:11 2026 Epoch Time (ms): 1772145491849