[2026-02-15T00:12:30.449Z] Running test renaissance-movie-lens_0 ... [2026-02-15T00:12:30.449Z] =============================================== [2026-02-15T00:12:30.449Z] renaissance-movie-lens_0 Start Time: Sun Feb 15 00:12:29 2026 Epoch Time (ms): 1771114349715 [2026-02-15T00:12:30.449Z] variation: NoOptions [2026-02-15T00:12:30.449Z] JVM_OPTIONS: [2026-02-15T00:12:30.449Z] { \ [2026-02-15T00:12:30.449Z] echo ""; echo "TEST SETUP:"; \ [2026-02-15T00:12:30.449Z] echo "Nothing to be done for setup."; \ [2026-02-15T00:12:30.449Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17711129449269/renaissance-movie-lens_0"; \ [2026-02-15T00:12:30.449Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17711129449269/renaissance-movie-lens_0"; \ [2026-02-15T00:12:30.449Z] echo ""; echo "TESTING:"; \ [2026-02-15T00:12:30.449Z] "/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_17711129449269/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-15T00:12:30.449Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17711129449269/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-15T00:12:30.449Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-15T00:12:30.449Z] echo "Nothing to be done for teardown."; \ [2026-02-15T00:12:30.449Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17711129449269/TestTargetResult"; [2026-02-15T00:12:30.449Z] [2026-02-15T00:12:30.449Z] TEST SETUP: [2026-02-15T00:12:30.449Z] Nothing to be done for setup. [2026-02-15T00:12:30.449Z] [2026-02-15T00:12:30.449Z] TESTING: [2026-02-15T00:12:30.449Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-15T00:12:30.449Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17711129449269/renaissance-movie-lens_0/launcher-001229-14976495739646898963/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-15T00:12:30.449Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-15T00:12:30.449Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-15T00:12:34.242Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-15T00:12:41.386Z] 00:12:40.891 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-15T00:12:44.385Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-15T00:12:45.025Z] Training: 60056, validation: 20285, test: 19854 [2026-02-15T00:12:45.025Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-15T00:12:45.025Z] GC before operation: completed in 218.258 ms, heap usage 150.942 MB -> 75.526 MB. [2026-02-15T00:12:52.271Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:12:58.140Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:13:03.033Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:13:07.887Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:13:09.956Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:13:12.835Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:13:14.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:13:16.929Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:13:17.576Z] 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. [2026-02-15T00:13:17.576Z] The best model improves the baseline by 14.34%. [2026-02-15T00:13:17.576Z] Top recommended movies for user id 72: [2026-02-15T00:13:17.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:13:17.576Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:13:17.576Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:13:17.576Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:13:17.576Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:13:17.576Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32678.692 ms) ====== [2026-02-15T00:13:17.576Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-15T00:13:17.576Z] GC before operation: completed in 218.345 ms, heap usage 196.274 MB -> 88.782 MB. [2026-02-15T00:13:21.366Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:13:25.282Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:13:28.987Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:13:31.934Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:13:33.239Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:13:35.351Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:13:37.368Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:13:39.775Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:13:40.696Z] 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. [2026-02-15T00:13:40.696Z] The best model improves the baseline by 14.34%. [2026-02-15T00:13:40.696Z] Top recommended movies for user id 72: [2026-02-15T00:13:40.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:13:40.696Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:13:40.696Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:13:40.696Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:13:40.696Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:13:40.696Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22208.067 ms) ====== [2026-02-15T00:13:40.696Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-15T00:13:40.696Z] GC before operation: completed in 191.435 ms, heap usage 228.734 MB -> 87.624 MB. [2026-02-15T00:13:43.564Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:13:46.401Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:13:49.234Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:13:52.127Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:13:54.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:13:55.505Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:13:57.527Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:13:58.830Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:13:59.457Z] 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. [2026-02-15T00:13:59.457Z] The best model improves the baseline by 14.34%. [2026-02-15T00:13:59.457Z] Top recommended movies for user id 72: [2026-02-15T00:13:59.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:13:59.457Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:13:59.457Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:13:59.457Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:13:59.457Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:13:59.457Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19247.246 ms) ====== [2026-02-15T00:13:59.457Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-15T00:13:59.457Z] GC before operation: completed in 235.809 ms, heap usage 165.642 MB -> 88.172 MB. [2026-02-15T00:14:03.244Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:14:05.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:14:09.137Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:14:11.144Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:14:13.157Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:14:14.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:14:16.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:14:17.786Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:14:17.786Z] 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. [2026-02-15T00:14:17.786Z] The best model improves the baseline by 14.34%. [2026-02-15T00:14:18.421Z] Top recommended movies for user id 72: [2026-02-15T00:14:18.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:14:18.421Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:14:18.421Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:14:18.421Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:14:18.421Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:14:18.421Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18390.776 ms) ====== [2026-02-15T00:14:18.421Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-15T00:14:18.421Z] GC before operation: completed in 178.595 ms, heap usage 202.533 MB -> 88.516 MB. [2026-02-15T00:14:21.305Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:14:24.176Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:14:27.108Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:14:29.911Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:14:31.947Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:14:33.294Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:14:35.338Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:14:36.664Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:14:37.307Z] 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. [2026-02-15T00:14:37.307Z] The best model improves the baseline by 14.34%. [2026-02-15T00:14:37.307Z] Top recommended movies for user id 72: [2026-02-15T00:14:37.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:14:37.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:14:37.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:14:37.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:14:37.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:14:37.307Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18909.799 ms) ====== [2026-02-15T00:14:37.307Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-15T00:14:37.307Z] GC before operation: completed in 205.876 ms, heap usage 246.810 MB -> 88.616 MB. [2026-02-15T00:14:40.164Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:14:43.046Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:14:45.876Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:14:48.727Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:14:50.777Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:14:52.070Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:14:54.244Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:14:55.519Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:14:56.178Z] 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. [2026-02-15T00:14:56.178Z] The best model improves the baseline by 14.34%. [2026-02-15T00:14:56.178Z] Top recommended movies for user id 72: [2026-02-15T00:14:56.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:14:56.178Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:14:56.178Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:14:56.178Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:14:56.178Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:14:56.178Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18852.265 ms) ====== [2026-02-15T00:14:56.178Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-15T00:14:56.178Z] GC before operation: completed in 171.672 ms, heap usage 161.401 MB -> 88.841 MB. [2026-02-15T00:14:58.995Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:15:01.828Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:15:05.587Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:15:07.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:15:09.636Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:15:10.932Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:15:12.990Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:15:14.352Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:15:15.022Z] 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. [2026-02-15T00:15:15.022Z] The best model improves the baseline by 14.34%. [2026-02-15T00:15:15.022Z] Top recommended movies for user id 72: [2026-02-15T00:15:15.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:15:15.022Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:15:15.022Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:15:15.022Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:15:15.022Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:15:15.022Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18625.019 ms) ====== [2026-02-15T00:15:15.022Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-15T00:15:15.022Z] GC before operation: completed in 220.303 ms, heap usage 351.882 MB -> 89.148 MB. [2026-02-15T00:15:17.868Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:15:20.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:15:24.537Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:15:27.435Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:15:29.530Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:15:30.812Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:15:32.856Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:15:34.881Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:15:34.881Z] 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. [2026-02-15T00:15:35.508Z] The best model improves the baseline by 14.34%. [2026-02-15T00:15:35.508Z] Top recommended movies for user id 72: [2026-02-15T00:15:35.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:15:35.508Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:15:35.508Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:15:35.508Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:15:35.508Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:15:35.508Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20100.421 ms) ====== [2026-02-15T00:15:35.508Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-15T00:15:35.508Z] GC before operation: completed in 248.531 ms, heap usage 112.953 MB -> 88.926 MB. [2026-02-15T00:15:39.258Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:15:41.270Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:15:45.092Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:15:47.934Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:15:49.245Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:15:51.278Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:15:53.306Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:15:55.323Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:15:55.323Z] 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. [2026-02-15T00:15:55.323Z] The best model improves the baseline by 14.34%. [2026-02-15T00:15:55.323Z] Top recommended movies for user id 72: [2026-02-15T00:15:55.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:15:55.323Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:15:55.323Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:15:55.323Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:15:55.323Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:15:55.323Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19919.722 ms) ====== [2026-02-15T00:15:55.323Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-15T00:15:56.010Z] GC before operation: completed in 190.108 ms, heap usage 248.826 MB -> 89.040 MB. [2026-02-15T00:15:58.878Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:16:01.784Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:16:04.657Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:16:06.717Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:16:08.964Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:16:10.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:16:12.369Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:16:14.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:16:14.481Z] 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. [2026-02-15T00:16:14.481Z] The best model improves the baseline by 14.34%. [2026-02-15T00:16:14.481Z] Top recommended movies for user id 72: [2026-02-15T00:16:14.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:16:14.481Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:16:14.481Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:16:14.481Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:16:14.481Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:16:14.481Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18889.466 ms) ====== [2026-02-15T00:16:14.481Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-15T00:16:15.097Z] GC before operation: completed in 180.095 ms, heap usage 220.798 MB -> 89.192 MB. [2026-02-15T00:16:17.998Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:16:20.926Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:16:23.815Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:16:26.761Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:16:28.934Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:16:31.023Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:16:33.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:16:34.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:16:35.116Z] 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. [2026-02-15T00:16:35.116Z] The best model improves the baseline by 14.34%. [2026-02-15T00:16:35.116Z] Top recommended movies for user id 72: [2026-02-15T00:16:35.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:16:35.116Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:16:35.116Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:16:35.116Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:16:35.116Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:16:35.116Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20322.114 ms) ====== [2026-02-15T00:16:35.116Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-15T00:16:35.116Z] GC before operation: completed in 178.948 ms, heap usage 145.331 MB -> 88.861 MB. [2026-02-15T00:16:39.086Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:16:41.949Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:16:45.765Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:16:48.762Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:16:50.900Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:16:53.044Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:16:55.099Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:16:57.198Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:16:57.817Z] 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. [2026-02-15T00:16:57.817Z] The best model improves the baseline by 14.34%. [2026-02-15T00:16:57.817Z] Top recommended movies for user id 72: [2026-02-15T00:16:57.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:16:57.817Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:16:57.817Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:16:57.817Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:16:57.817Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:16:57.817Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22459.773 ms) ====== [2026-02-15T00:16:57.817Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-15T00:16:57.817Z] GC before operation: completed in 192.324 ms, heap usage 309.122 MB -> 89.279 MB. [2026-02-15T00:17:01.677Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:17:04.574Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:17:08.423Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:17:11.299Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:17:13.344Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:17:15.385Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:17:16.735Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:17:18.786Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:17:18.786Z] 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. [2026-02-15T00:17:18.786Z] The best model improves the baseline by 14.34%. [2026-02-15T00:17:19.424Z] Top recommended movies for user id 72: [2026-02-15T00:17:19.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:17:19.424Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:17:19.424Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:17:19.424Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:17:19.424Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:17:19.424Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21233.728 ms) ====== [2026-02-15T00:17:19.424Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-15T00:17:19.424Z] GC before operation: completed in 171.456 ms, heap usage 187.548 MB -> 89.220 MB. [2026-02-15T00:17:22.495Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:17:25.348Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:17:27.402Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:17:30.236Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:17:31.517Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:17:32.850Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:17:34.946Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:17:36.226Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:17:36.845Z] 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. [2026-02-15T00:17:36.845Z] The best model improves the baseline by 14.34%. [2026-02-15T00:17:36.845Z] Top recommended movies for user id 72: [2026-02-15T00:17:36.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:17:36.845Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:17:36.845Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:17:36.845Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:17:36.845Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:17:36.845Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17628.781 ms) ====== [2026-02-15T00:17:36.845Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-15T00:17:37.481Z] GC before operation: completed in 248.087 ms, heap usage 250.887 MB -> 89.169 MB. [2026-02-15T00:17:40.335Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:17:44.135Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:17:47.002Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:17:49.943Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:17:51.996Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:17:54.066Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:17:56.188Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:17:57.490Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:17:57.490Z] 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. [2026-02-15T00:17:58.114Z] The best model improves the baseline by 14.34%. [2026-02-15T00:17:58.114Z] Top recommended movies for user id 72: [2026-02-15T00:17:58.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:17:58.114Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:17:58.114Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:17:58.114Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:17:58.114Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:17:58.114Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20695.893 ms) ====== [2026-02-15T00:17:58.114Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-15T00:17:58.114Z] GC before operation: completed in 186.431 ms, heap usage 235.553 MB -> 89.390 MB. [2026-02-15T00:18:01.017Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:18:03.860Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:18:06.692Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:18:09.584Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:18:10.934Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:18:13.004Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:18:15.106Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:18:16.474Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:18:17.110Z] 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. [2026-02-15T00:18:17.110Z] The best model improves the baseline by 14.34%. [2026-02-15T00:18:17.110Z] Top recommended movies for user id 72: [2026-02-15T00:18:17.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:18:17.110Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:18:17.110Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:18:17.110Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:18:17.110Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:18:17.110Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19032.239 ms) ====== [2026-02-15T00:18:17.110Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-15T00:18:17.110Z] GC before operation: completed in 177.032 ms, heap usage 212.678 MB -> 89.176 MB. [2026-02-15T00:18:20.055Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:18:23.000Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:18:25.914Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:18:28.729Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:18:30.481Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:18:31.868Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:18:34.863Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:18:36.155Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:18:36.806Z] 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. [2026-02-15T00:18:36.806Z] The best model improves the baseline by 14.34%. [2026-02-15T00:18:36.806Z] Top recommended movies for user id 72: [2026-02-15T00:18:36.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:18:36.806Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:18:36.806Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:18:36.806Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:18:36.806Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:18:36.806Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19355.038 ms) ====== [2026-02-15T00:18:36.806Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-15T00:18:36.807Z] GC before operation: completed in 211.721 ms, heap usage 222.994 MB -> 89.286 MB. [2026-02-15T00:18:39.731Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:18:43.649Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:18:46.713Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:18:50.623Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:18:51.979Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:18:54.026Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:18:56.112Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:18:58.200Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:18:58.200Z] 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. [2026-02-15T00:18:58.200Z] The best model improves the baseline by 14.34%. [2026-02-15T00:18:58.826Z] Top recommended movies for user id 72: [2026-02-15T00:18:58.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:18:58.826Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:18:58.826Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:18:58.826Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:18:58.826Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:18:58.826Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21617.048 ms) ====== [2026-02-15T00:18:58.826Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-15T00:18:58.826Z] GC before operation: completed in 185.590 ms, heap usage 221.875 MB -> 89.178 MB. [2026-02-15T00:19:01.698Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:19:05.526Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:19:08.517Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:19:11.500Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:19:13.623Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:19:15.809Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:19:17.898Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:19:19.271Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:19:19.271Z] 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. [2026-02-15T00:19:19.929Z] The best model improves the baseline by 14.34%. [2026-02-15T00:19:19.929Z] Top recommended movies for user id 72: [2026-02-15T00:19:19.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:19:19.929Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:19:19.929Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:19:19.929Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:19:19.929Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:19:19.929Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21059.110 ms) ====== [2026-02-15T00:19:19.929Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-15T00:19:19.929Z] GC before operation: completed in 183.088 ms, heap usage 167.975 MB -> 89.083 MB. [2026-02-15T00:19:23.761Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-15T00:19:26.620Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-15T00:19:30.518Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-15T00:19:33.490Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-15T00:19:35.621Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-15T00:19:37.687Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-15T00:19:39.764Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-15T00:19:41.852Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-15T00:19:41.852Z] 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. [2026-02-15T00:19:41.852Z] The best model improves the baseline by 14.34%. [2026-02-15T00:19:41.852Z] Top recommended movies for user id 72: [2026-02-15T00:19:41.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-15T00:19:41.852Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-15T00:19:41.852Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-15T00:19:41.852Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-15T00:19:41.852Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-15T00:19:41.852Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22188.297 ms) ====== [2026-02-15T00:19:42.497Z] ----------------------------------- [2026-02-15T00:19:42.497Z] renaissance-movie-lens_0_PASSED [2026-02-15T00:19:42.497Z] ----------------------------------- [2026-02-15T00:19:42.497Z] [2026-02-15T00:19:42.497Z] TEST TEARDOWN: [2026-02-15T00:19:42.497Z] Nothing to be done for teardown. [2026-02-15T00:19:42.498Z] renaissance-movie-lens_0 Finish Time: Sun Feb 15 00:19:42 2026 Epoch Time (ms): 1771114782283