[2026-03-06T00:08:09.701Z] Running test renaissance-movie-lens_0 ... [2026-03-06T00:08:09.701Z] =============================================== [2026-03-06T00:08:09.702Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 00:08:09 2026 Epoch Time (ms): 1772755689534 [2026-03-06T00:08:09.702Z] variation: NoOptions [2026-03-06T00:08:09.702Z] JVM_OPTIONS: [2026-03-06T00:08:09.702Z] { \ [2026-03-06T00:08:09.702Z] echo ""; echo "TEST SETUP:"; \ [2026-03-06T00:08:09.702Z] echo "Nothing to be done for setup."; \ [2026-03-06T00:08:09.702Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1772754458636/renaissance-movie-lens_0"; \ [2026-03-06T00:08:09.702Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1772754458636/renaissance-movie-lens_0"; \ [2026-03-06T00:08:09.702Z] echo ""; echo "TESTING:"; \ [2026-03-06T00:08:09.702Z] "/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_1772754458636/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-06T00:08:09.702Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1772754458636/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-06T00:08:09.702Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-06T00:08:09.702Z] echo "Nothing to be done for teardown."; \ [2026-03-06T00:08:09.702Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1772754458636/TestTargetResult"; [2026-03-06T00:08:09.702Z] [2026-03-06T00:08:09.702Z] TEST SETUP: [2026-03-06T00:08:09.702Z] Nothing to be done for setup. [2026-03-06T00:08:09.702Z] [2026-03-06T00:08:09.702Z] TESTING: [2026-03-06T00:08:10.042Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-06T00:08:10.042Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_1772754458636/renaissance-movie-lens_0/launcher-000809-16867254535554706093/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-06T00:08:10.042Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-06T00:08:10.042Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-06T00:08:14.913Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-06T00:08:23.965Z] 00:08:22.788 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. [2026-03-06T00:08:26.290Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-06T00:08:27.484Z] Training: 60056, validation: 20285, test: 19854 [2026-03-06T00:08:27.484Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-06T00:08:27.484Z] GC before operation: completed in 165.633 ms, heap usage 167.828 MB -> 75.579 MB. [2026-03-06T00:08:36.534Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:08:40.418Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:08:45.364Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:08:48.406Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:08:50.730Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:08:53.056Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:08:55.396Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:08:57.108Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:08:57.108Z] 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. [2026-03-06T00:08:57.108Z] The best model improves the baseline by 14.34%. [2026-03-06T00:08:57.469Z] Top recommended movies for user id 72: [2026-03-06T00:08:57.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:08:57.469Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:08:57.469Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:08:57.469Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:08:57.470Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:08:57.470Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29759.519 ms) ====== [2026-03-06T00:08:57.470Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-06T00:08:57.470Z] GC before operation: completed in 183.165 ms, heap usage 115.322 MB -> 87.257 MB. [2026-03-06T00:09:01.334Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:09:03.685Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:09:07.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:09:09.961Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:09:11.664Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:09:13.434Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:09:15.143Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:09:16.847Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:09:17.190Z] 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. [2026-03-06T00:09:17.190Z] The best model improves the baseline by 14.34%. [2026-03-06T00:09:17.528Z] Top recommended movies for user id 72: [2026-03-06T00:09:17.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:09:17.528Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:09:17.528Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:09:17.528Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:09:17.528Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:09:17.528Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20050.781 ms) ====== [2026-03-06T00:09:17.528Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-06T00:09:17.873Z] GC before operation: completed in 158.416 ms, heap usage 111.806 MB -> 87.355 MB. [2026-03-06T00:09:21.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:09:24.108Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:09:27.137Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:09:30.184Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:09:31.891Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:09:33.630Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:09:35.431Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:09:37.138Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:09:37.482Z] 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. [2026-03-06T00:09:37.482Z] The best model improves the baseline by 14.34%. [2026-03-06T00:09:37.824Z] Top recommended movies for user id 72: [2026-03-06T00:09:37.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:09:37.825Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:09:37.825Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:09:37.825Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:09:37.825Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:09:37.825Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19956.320 ms) ====== [2026-03-06T00:09:37.825Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-06T00:09:37.825Z] GC before operation: completed in 156.497 ms, heap usage 451.665 MB -> 91.774 MB. [2026-03-06T00:09:40.861Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:09:43.894Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:09:46.935Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:09:49.251Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:09:51.605Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:09:52.789Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:09:55.102Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:09:56.317Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:09:56.664Z] 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. [2026-03-06T00:09:56.664Z] The best model improves the baseline by 14.34%. [2026-03-06T00:09:56.664Z] Top recommended movies for user id 72: [2026-03-06T00:09:56.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:09:56.664Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:09:56.664Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:09:56.664Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:09:56.664Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:09:56.664Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18920.832 ms) ====== [2026-03-06T00:09:56.664Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-06T00:09:57.011Z] GC before operation: completed in 178.382 ms, heap usage 617.892 MB -> 92.269 MB. [2026-03-06T00:10:00.107Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:10:03.199Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:10:05.504Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:10:08.532Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:10:09.714Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:10:10.893Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:10:12.598Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:10:14.299Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:10:14.299Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-06T00:10:14.640Z] The best model improves the baseline by 14.34%. [2026-03-06T00:10:14.640Z] Top recommended movies for user id 72: [2026-03-06T00:10:14.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:10:14.640Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:10:14.640Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:10:14.640Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:10:14.640Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:10:14.640Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17735.701 ms) ====== [2026-03-06T00:10:14.640Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-06T00:10:14.984Z] GC before operation: completed in 174.638 ms, heap usage 396.665 MB -> 88.819 MB. [2026-03-06T00:10:18.019Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:10:20.330Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:10:23.356Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:10:25.059Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:10:26.841Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:10:28.542Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:10:29.718Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:10:31.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:10:31.439Z] 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. [2026-03-06T00:10:31.439Z] The best model improves the baseline by 14.34%. [2026-03-06T00:10:31.783Z] Top recommended movies for user id 72: [2026-03-06T00:10:31.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:10:31.783Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:10:31.783Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:10:31.783Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:10:31.783Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:10:31.783Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16850.404 ms) ====== [2026-03-06T00:10:31.783Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-06T00:10:31.783Z] GC before operation: completed in 157.436 ms, heap usage 174.165 MB -> 88.749 MB. [2026-03-06T00:10:34.803Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:10:36.502Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:10:39.561Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:10:41.937Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:10:43.641Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:10:45.347Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:10:46.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:10:48.235Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:10:48.580Z] 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. [2026-03-06T00:10:48.580Z] The best model improves the baseline by 14.34%. [2026-03-06T00:10:48.580Z] Top recommended movies for user id 72: [2026-03-06T00:10:48.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:10:48.580Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:10:48.580Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:10:48.580Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:10:48.580Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:10:48.580Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16775.195 ms) ====== [2026-03-06T00:10:48.580Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T00:10:48.922Z] GC before operation: completed in 174.325 ms, heap usage 620.265 MB -> 92.647 MB. [2026-03-06T00:10:51.327Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:10:54.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:10:56.737Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:10:59.048Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:11:00.228Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:11:01.926Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:11:03.107Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:11:04.810Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:11:04.810Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-06T00:11:04.810Z] The best model improves the baseline by 14.34%. [2026-03-06T00:11:05.151Z] Top recommended movies for user id 72: [2026-03-06T00:11:05.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:11:05.151Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:11:05.151Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:11:05.151Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:11:05.151Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:11:05.151Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16156.342 ms) ====== [2026-03-06T00:11:05.151Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T00:11:05.151Z] GC before operation: completed in 158.482 ms, heap usage 241.272 MB -> 89.144 MB. [2026-03-06T00:11:07.476Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:11:09.804Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:11:12.830Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:11:15.222Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:11:16.399Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:11:17.575Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:11:19.270Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:11:20.968Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:11:20.968Z] 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. [2026-03-06T00:11:21.306Z] The best model improves the baseline by 14.34%. [2026-03-06T00:11:21.306Z] Top recommended movies for user id 72: [2026-03-06T00:11:21.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:11:21.306Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:11:21.306Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:11:21.306Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:11:21.306Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:11:21.306Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16201.571 ms) ====== [2026-03-06T00:11:21.306Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T00:11:21.649Z] GC before operation: completed in 161.570 ms, heap usage 361.831 MB -> 89.101 MB. [2026-03-06T00:11:23.959Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:11:26.269Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:11:28.571Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:11:30.893Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:11:32.613Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:11:34.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:11:36.019Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:11:37.202Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:11:37.543Z] 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. [2026-03-06T00:11:37.543Z] The best model improves the baseline by 14.34%. [2026-03-06T00:11:37.885Z] Top recommended movies for user id 72: [2026-03-06T00:11:37.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:11:37.885Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:11:37.885Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:11:37.885Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:11:37.885Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:11:37.885Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16256.318 ms) ====== [2026-03-06T00:11:37.885Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T00:11:37.885Z] GC before operation: completed in 159.628 ms, heap usage 183.543 MB -> 88.944 MB. [2026-03-06T00:11:40.215Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:11:43.263Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:11:45.582Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:11:47.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:11:49.080Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:11:50.306Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:11:52.007Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:11:53.193Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:11:53.534Z] 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. [2026-03-06T00:11:53.534Z] The best model improves the baseline by 14.34%. [2026-03-06T00:11:53.878Z] Top recommended movies for user id 72: [2026-03-06T00:11:53.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:11:53.878Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:11:53.878Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:11:53.878Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:11:53.878Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:11:53.878Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15830.989 ms) ====== [2026-03-06T00:11:53.878Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T00:11:53.878Z] GC before operation: completed in 159.533 ms, heap usage 227.353 MB -> 88.894 MB. [2026-03-06T00:11:56.900Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:11:59.213Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:12:01.522Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:12:03.849Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:12:05.556Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:12:06.739Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:12:08.441Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:12:09.623Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:12:09.962Z] 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. [2026-03-06T00:12:09.962Z] The best model improves the baseline by 14.34%. [2026-03-06T00:12:10.305Z] Top recommended movies for user id 72: [2026-03-06T00:12:10.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:12:10.306Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:12:10.306Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:12:10.306Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:12:10.306Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:12:10.306Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16261.008 ms) ====== [2026-03-06T00:12:10.306Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T00:12:10.306Z] GC before operation: completed in 163.057 ms, heap usage 223.046 MB -> 89.080 MB. [2026-03-06T00:12:13.334Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:12:15.038Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:12:18.055Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:12:19.776Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:12:21.481Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:12:22.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:12:24.417Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:12:26.138Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:12:26.138Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-06T00:12:26.138Z] The best model improves the baseline by 14.34%. [2026-03-06T00:12:26.138Z] Top recommended movies for user id 72: [2026-03-06T00:12:26.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:12:26.138Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:12:26.138Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:12:26.138Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:12:26.138Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:12:26.138Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15867.006 ms) ====== [2026-03-06T00:12:26.138Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T00:12:26.482Z] GC before operation: completed in 174.668 ms, heap usage 773.401 MB -> 93.852 MB. [2026-03-06T00:12:28.876Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:12:31.898Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:12:34.215Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:12:36.527Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:12:37.709Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:12:39.409Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:12:40.618Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:12:42.314Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:12:42.314Z] 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. [2026-03-06T00:12:42.314Z] The best model improves the baseline by 14.34%. [2026-03-06T00:12:42.652Z] Top recommended movies for user id 72: [2026-03-06T00:12:42.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:12:42.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:12:42.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:12:42.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:12:42.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:12:42.652Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16138.511 ms) ====== [2026-03-06T00:12:42.652Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T00:12:42.652Z] GC before operation: completed in 162.492 ms, heap usage 369.283 MB -> 89.301 MB. [2026-03-06T00:12:44.964Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:12:47.272Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:12:49.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:12:51.974Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:12:53.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:12:54.843Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:12:56.023Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:12:57.728Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:12:57.728Z] 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. [2026-03-06T00:12:57.728Z] The best model improves the baseline by 14.34%. [2026-03-06T00:12:58.068Z] Top recommended movies for user id 72: [2026-03-06T00:12:58.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:12:58.068Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:12:58.068Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:12:58.068Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:12:58.068Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:12:58.068Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15203.989 ms) ====== [2026-03-06T00:12:58.068Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T00:12:58.068Z] GC before operation: completed in 167.509 ms, heap usage 453.052 MB -> 92.729 MB. [2026-03-06T00:13:00.370Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:13:03.653Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:13:05.346Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:13:07.047Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:13:08.745Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:13:09.926Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:13:11.628Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:13:13.330Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:13:13.330Z] 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. [2026-03-06T00:13:13.330Z] The best model improves the baseline by 14.34%. [2026-03-06T00:13:13.330Z] Top recommended movies for user id 72: [2026-03-06T00:13:13.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:13:13.330Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:13:13.330Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:13:13.330Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:13:13.330Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:13:13.330Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15398.146 ms) ====== [2026-03-06T00:13:13.330Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T00:13:13.673Z] GC before operation: completed in 163.162 ms, heap usage 417.871 MB -> 89.366 MB. [2026-03-06T00:13:15.979Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:13:18.330Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:13:20.751Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:13:23.058Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:13:24.239Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:13:25.422Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:13:27.121Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:13:28.297Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:13:28.639Z] 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. [2026-03-06T00:13:28.639Z] The best model improves the baseline by 14.34%. [2026-03-06T00:13:28.983Z] Top recommended movies for user id 72: [2026-03-06T00:13:28.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:13:28.983Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:13:28.983Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:13:28.983Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:13:28.983Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:13:28.983Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15204.915 ms) ====== [2026-03-06T00:13:28.983Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T00:13:28.983Z] GC before operation: completed in 162.952 ms, heap usage 435.456 MB -> 89.529 MB. [2026-03-06T00:13:31.281Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:13:33.581Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:13:35.883Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:13:38.190Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:13:39.370Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:13:41.070Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:13:42.252Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:13:43.955Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:13:43.955Z] 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. [2026-03-06T00:13:43.955Z] The best model improves the baseline by 14.34%. [2026-03-06T00:13:44.350Z] Top recommended movies for user id 72: [2026-03-06T00:13:44.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:13:44.350Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:13:44.350Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:13:44.350Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:13:44.350Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:13:44.350Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15143.164 ms) ====== [2026-03-06T00:13:44.350Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T00:13:44.350Z] GC before operation: completed in 161.422 ms, heap usage 309.422 MB -> 89.213 MB. [2026-03-06T00:13:46.659Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:13:48.963Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:13:51.272Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:13:53.580Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:13:54.762Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:13:56.466Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:13:57.648Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:13:59.350Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:13:59.350Z] 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. [2026-03-06T00:13:59.350Z] The best model improves the baseline by 14.34%. [2026-03-06T00:13:59.690Z] Top recommended movies for user id 72: [2026-03-06T00:13:59.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:13:59.690Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:13:59.690Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:13:59.690Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:13:59.691Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:13:59.691Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15265.071 ms) ====== [2026-03-06T00:13:59.691Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T00:13:59.691Z] GC before operation: completed in 158.195 ms, heap usage 183.807 MB -> 89.047 MB. [2026-03-06T00:14:01.996Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:14:04.334Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:14:07.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:14:09.049Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:14:10.227Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:14:11.923Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:14:13.111Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:14:14.809Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:14:14.809Z] 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. [2026-03-06T00:14:14.809Z] The best model improves the baseline by 14.34%. [2026-03-06T00:14:14.809Z] Top recommended movies for user id 72: [2026-03-06T00:14:14.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-06T00:14:14.809Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-06T00:14:14.809Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-06T00:14:14.809Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-06T00:14:14.809Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-06T00:14:14.809Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15186.661 ms) ====== [2026-03-06T00:14:15.149Z] ----------------------------------- [2026-03-06T00:14:15.149Z] renaissance-movie-lens_0_PASSED [2026-03-06T00:14:15.149Z] ----------------------------------- [2026-03-06T00:14:15.149Z] [2026-03-06T00:14:15.149Z] TEST TEARDOWN: [2026-03-06T00:14:15.149Z] Nothing to be done for teardown. [2026-03-06T00:14:15.149Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 00:14:15 2026 Epoch Time (ms): 1772756055135