[2026-03-02T11:06:32.171Z] Running test renaissance-movie-lens_0 ... [2026-03-02T11:06:32.171Z] =============================================== [2026-03-02T11:06:32.171Z] renaissance-movie-lens_0 Start Time: Mon Mar 2 11:06:31 2026 Epoch Time (ms): 1772449591656 [2026-03-02T11:06:32.171Z] variation: NoOptions [2026-03-02T11:06:32.171Z] JVM_OPTIONS: [2026-03-02T11:06:32.171Z] { \ [2026-03-02T11:06:32.171Z] echo ""; echo "TEST SETUP:"; \ [2026-03-02T11:06:32.171Z] echo "Nothing to be done for setup."; \ [2026-03-02T11:06:32.171Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17724482843589/renaissance-movie-lens_0"; \ [2026-03-02T11:06:32.171Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17724482843589/renaissance-movie-lens_0"; \ [2026-03-02T11:06:32.171Z] echo ""; echo "TESTING:"; \ [2026-03-02T11:06:32.171Z] "/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_17724482843589/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-02T11:06:32.171Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17724482843589/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-02T11:06:32.171Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-02T11:06:32.171Z] echo "Nothing to be done for teardown."; \ [2026-03-02T11:06:32.171Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17724482843589/TestTargetResult"; [2026-03-02T11:06:32.171Z] [2026-03-02T11:06:32.171Z] TEST SETUP: [2026-03-02T11:06:32.171Z] Nothing to be done for setup. [2026-03-02T11:06:32.171Z] [2026-03-02T11:06:32.171Z] TESTING: [2026-03-02T11:06:32.799Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-02T11:06:32.800Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17724482843589/renaissance-movie-lens_0/launcher-110632-17023140841051010684/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-02T11:06:32.800Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-02T11:06:32.800Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-02T11:06:37.665Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-02T11:06:42.571Z] 11:06:42.144 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. [2026-03-02T11:06:45.623Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-02T11:06:46.341Z] Training: 60056, validation: 20285, test: 19854 [2026-03-02T11:06:46.341Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-02T11:06:46.341Z] GC before operation: completed in 230.060 ms, heap usage 190.761 MB -> 75.677 MB. [2026-03-02T11:06:53.786Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:06:57.654Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:07:01.600Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:07:05.551Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:07:08.102Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:07:09.468Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:07:12.499Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:07:13.861Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:07:14.531Z] 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. [2026-03-02T11:07:14.531Z] The best model improves the baseline by 14.34%. [2026-03-02T11:07:14.531Z] Top recommended movies for user id 72: [2026-03-02T11:07:14.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:07:14.531Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:07:14.531Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:07:14.531Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:07:14.531Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:07:14.531Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28458.773 ms) ====== [2026-03-02T11:07:14.531Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-02T11:07:15.185Z] GC before operation: completed in 198.580 ms, heap usage 143.190 MB -> 91.303 MB. [2026-03-02T11:07:18.141Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:07:21.147Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:07:25.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:07:27.129Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:07:29.284Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:07:30.632Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:07:32.767Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:07:34.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:07:34.850Z] 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. [2026-03-02T11:07:34.850Z] The best model improves the baseline by 14.34%. [2026-03-02T11:07:34.850Z] Top recommended movies for user id 72: [2026-03-02T11:07:34.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:07:34.850Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:07:34.850Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:07:34.850Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:07:34.850Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:07:34.851Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20167.973 ms) ====== [2026-03-02T11:07:34.851Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-02T11:07:35.489Z] GC before operation: completed in 171.439 ms, heap usage 145.953 MB -> 87.798 MB. [2026-03-02T11:07:37.573Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:07:40.560Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:07:43.514Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:07:46.453Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:07:47.798Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:07:49.520Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:07:51.580Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:07:52.927Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:07:52.927Z] 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. [2026-03-02T11:07:52.927Z] The best model improves the baseline by 14.34%. [2026-03-02T11:07:53.571Z] Top recommended movies for user id 72: [2026-03-02T11:07:53.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:07:53.571Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:07:53.571Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:07:53.571Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:07:53.571Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:07:53.572Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18008.202 ms) ====== [2026-03-02T11:07:53.572Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-02T11:07:53.572Z] GC before operation: completed in 190.484 ms, heap usage 226.576 MB -> 88.473 MB. [2026-03-02T11:07:56.485Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:07:58.554Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:08:02.370Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:08:04.524Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:08:05.868Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:08:07.963Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:08:09.351Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:08:11.444Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:08:11.444Z] 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. [2026-03-02T11:08:11.444Z] The best model improves the baseline by 14.34%. [2026-03-02T11:08:11.444Z] Top recommended movies for user id 72: [2026-03-02T11:08:11.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:08:11.444Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:08:11.444Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:08:11.444Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:08:11.444Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:08:11.444Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18059.348 ms) ====== [2026-03-02T11:08:11.444Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-02T11:08:11.444Z] GC before operation: completed in 200.925 ms, heap usage 303.236 MB -> 88.915 MB. [2026-03-02T11:08:14.399Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:08:17.267Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:08:20.148Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:08:22.230Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:08:23.558Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:08:24.902Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:08:26.963Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:08:28.278Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:08:28.278Z] 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. [2026-03-02T11:08:28.278Z] The best model improves the baseline by 14.34%. [2026-03-02T11:08:28.278Z] Top recommended movies for user id 72: [2026-03-02T11:08:28.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:08:28.278Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:08:28.278Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:08:28.278Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:08:28.278Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:08:28.278Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16774.970 ms) ====== [2026-03-02T11:08:28.278Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-02T11:08:28.922Z] GC before operation: completed in 154.604 ms, heap usage 396.576 MB -> 89.062 MB. [2026-03-02T11:08:31.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:08:34.319Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:08:36.393Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:08:39.299Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:08:40.617Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:08:41.930Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:08:44.001Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:08:45.336Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:08:45.336Z] 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. [2026-03-02T11:08:45.336Z] The best model improves the baseline by 14.34%. [2026-03-02T11:08:45.970Z] Top recommended movies for user id 72: [2026-03-02T11:08:45.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:08:45.970Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:08:45.970Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:08:45.970Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:08:45.970Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:08:45.970Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17057.257 ms) ====== [2026-03-02T11:08:45.970Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-02T11:08:45.970Z] GC before operation: completed in 172.306 ms, heap usage 303.069 MB -> 89.323 MB. [2026-03-02T11:08:48.066Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:08:51.008Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:08:53.914Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:08:55.975Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:08:57.297Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:08:58.620Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:09:00.702Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:09:02.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:09:02.032Z] 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. [2026-03-02T11:09:02.032Z] The best model improves the baseline by 14.34%. [2026-03-02T11:09:02.678Z] Top recommended movies for user id 72: [2026-03-02T11:09:02.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:09:02.678Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:09:02.678Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:09:02.678Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:09:02.678Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:09:02.678Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16606.349 ms) ====== [2026-03-02T11:09:02.678Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-02T11:09:02.678Z] GC before operation: completed in 143.236 ms, heap usage 108.305 MB -> 89.100 MB. [2026-03-02T11:09:04.762Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:09:07.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:09:10.098Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:09:12.130Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:09:13.444Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:09:14.783Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:09:16.105Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:09:17.433Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:09:18.086Z] 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. [2026-03-02T11:09:18.086Z] The best model improves the baseline by 14.34%. [2026-03-02T11:09:18.086Z] Top recommended movies for user id 72: [2026-03-02T11:09:18.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:09:18.086Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:09:18.086Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:09:18.086Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:09:18.086Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:09:18.086Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15537.077 ms) ====== [2026-03-02T11:09:18.086Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-02T11:09:18.086Z] GC before operation: completed in 172.498 ms, heap usage 303.799 MB -> 89.539 MB. [2026-03-02T11:09:20.987Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:09:23.139Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:09:26.017Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:09:29.074Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:09:30.392Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:09:31.720Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:09:33.059Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:09:34.416Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:09:35.058Z] 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. [2026-03-02T11:09:35.058Z] The best model improves the baseline by 14.34%. [2026-03-02T11:09:35.058Z] Top recommended movies for user id 72: [2026-03-02T11:09:35.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:09:35.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:09:35.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:09:35.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:09:35.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:09:35.058Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16812.517 ms) ====== [2026-03-02T11:09:35.058Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-02T11:09:35.058Z] GC before operation: completed in 168.810 ms, heap usage 205.924 MB -> 89.090 MB. [2026-03-02T11:09:38.051Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:09:40.948Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:09:43.847Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:09:45.926Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:09:48.112Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:09:49.191Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:09:51.263Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:09:52.605Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:09:52.605Z] 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. [2026-03-02T11:09:53.245Z] The best model improves the baseline by 14.34%. [2026-03-02T11:09:53.245Z] Top recommended movies for user id 72: [2026-03-02T11:09:53.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:09:53.245Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:09:53.245Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:09:53.245Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:09:53.245Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:09:53.245Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17752.724 ms) ====== [2026-03-02T11:09:53.245Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-02T11:09:53.245Z] GC before operation: completed in 146.802 ms, heap usage 198.463 MB -> 89.195 MB. [2026-03-02T11:09:55.332Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:09:58.200Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:10:01.075Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:10:03.149Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:10:04.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:10:06.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:10:07.872Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:10:09.962Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:10:09.962Z] 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. [2026-03-02T11:10:09.962Z] The best model improves the baseline by 14.34%. [2026-03-02T11:10:09.962Z] Top recommended movies for user id 72: [2026-03-02T11:10:09.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:10:09.962Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:10:09.962Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:10:09.962Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:10:09.962Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:10:09.962Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17018.784 ms) ====== [2026-03-02T11:10:09.962Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-02T11:10:10.635Z] GC before operation: completed in 167.339 ms, heap usage 243.117 MB -> 89.060 MB. [2026-03-02T11:10:12.773Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:10:15.651Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:10:18.539Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:10:20.632Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:10:22.007Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:10:24.106Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:10:25.442Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:10:26.771Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:10:26.771Z] 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. [2026-03-02T11:10:26.771Z] The best model improves the baseline by 14.34%. [2026-03-02T11:10:27.442Z] Top recommended movies for user id 72: [2026-03-02T11:10:27.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:10:27.442Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:10:27.442Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:10:27.442Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:10:27.442Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:10:27.442Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16782.817 ms) ====== [2026-03-02T11:10:27.442Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-02T11:10:27.442Z] GC before operation: completed in 158.461 ms, heap usage 180.406 MB -> 89.196 MB. [2026-03-02T11:10:29.664Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:10:32.599Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:10:35.543Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:10:37.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:10:39.753Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:10:41.882Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:10:43.964Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:10:45.341Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:10:45.992Z] 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. [2026-03-02T11:10:45.992Z] The best model improves the baseline by 14.34%. [2026-03-02T11:10:45.992Z] Top recommended movies for user id 72: [2026-03-02T11:10:45.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:10:45.992Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:10:45.992Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:10:45.992Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:10:45.992Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:10:45.992Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18744.328 ms) ====== [2026-03-02T11:10:45.992Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-02T11:10:45.992Z] GC before operation: completed in 145.312 ms, heap usage 374.190 MB -> 89.644 MB. [2026-03-02T11:10:48.939Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:10:51.919Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:10:55.821Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:10:58.724Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:11:00.070Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:11:02.196Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:11:04.329Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:11:05.725Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:11:06.375Z] 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. [2026-03-02T11:11:06.375Z] The best model improves the baseline by 14.34%. [2026-03-02T11:11:06.375Z] Top recommended movies for user id 72: [2026-03-02T11:11:06.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:11:06.375Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:11:06.375Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:11:06.375Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:11:06.375Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:11:06.375Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20153.233 ms) ====== [2026-03-02T11:11:06.375Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-02T11:11:06.375Z] GC before operation: completed in 132.087 ms, heap usage 249.968 MB -> 89.244 MB. [2026-03-02T11:11:09.267Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:11:12.621Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:11:15.554Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:11:18.506Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:11:19.866Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:11:21.208Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:11:23.325Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:11:24.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:11:25.343Z] 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. [2026-03-02T11:11:25.343Z] The best model improves the baseline by 14.34%. [2026-03-02T11:11:25.343Z] Top recommended movies for user id 72: [2026-03-02T11:11:25.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:11:25.343Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:11:25.343Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:11:25.343Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:11:25.343Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:11:25.343Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18864.874 ms) ====== [2026-03-02T11:11:25.343Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-02T11:11:25.343Z] GC before operation: completed in 165.876 ms, heap usage 105.551 MB -> 89.196 MB. [2026-03-02T11:11:28.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:11:31.346Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:11:34.323Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:11:36.449Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:11:37.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:11:39.113Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:11:41.242Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:11:43.345Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:11:43.345Z] 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. [2026-03-02T11:11:43.345Z] The best model improves the baseline by 14.34%. [2026-03-02T11:11:43.345Z] Top recommended movies for user id 72: [2026-03-02T11:11:43.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:11:43.345Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:11:43.345Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:11:43.345Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:11:43.345Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:11:43.345Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17811.450 ms) ====== [2026-03-02T11:11:43.345Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-02T11:11:43.345Z] GC before operation: completed in 159.238 ms, heap usage 248.780 MB -> 89.301 MB. [2026-03-02T11:11:46.416Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:11:49.384Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:11:52.002Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:11:54.141Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:11:55.516Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:11:57.669Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:11:59.069Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:00.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:01.121Z] 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. [2026-03-02T11:12:01.121Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:01.121Z] Top recommended movies for user id 72: [2026-03-02T11:12:01.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:01.121Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:01.121Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:01.121Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:01.121Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:01.121Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17486.452 ms) ====== [2026-03-02T11:12:01.121Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-02T11:12:01.121Z] GC before operation: completed in 186.522 ms, heap usage 141.319 MB -> 89.234 MB. [2026-03-02T11:12:04.143Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:12:07.112Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:12:10.137Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:12:12.253Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:12:13.611Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:12:14.957Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:12:16.313Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:18.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:18.419Z] 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. [2026-03-02T11:12:18.419Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:18.419Z] Top recommended movies for user id 72: [2026-03-02T11:12:18.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:18.419Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:18.419Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:18.419Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:18.419Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:18.419Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17389.671 ms) ====== [2026-03-02T11:12:18.419Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-02T11:12:18.419Z] GC before operation: completed in 148.538 ms, heap usage 391.650 MB -> 89.473 MB. [2026-03-02T11:12:21.351Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:12:24.266Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:12:27.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:12:29.340Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:12:31.953Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:12:32.647Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:12:34.764Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:36.139Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:36.139Z] 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. [2026-03-02T11:12:36.139Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:36.139Z] Top recommended movies for user id 72: [2026-03-02T11:12:36.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:36.139Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:36.139Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:36.139Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:36.139Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:36.139Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17536.817 ms) ====== [2026-03-02T11:12:36.139Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-02T11:12:36.794Z] GC before operation: completed in 180.841 ms, heap usage 143.015 MB -> 89.216 MB. [2026-03-02T11:12:38.902Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T11:12:41.032Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T11:12:44.006Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T11:12:46.951Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T11:12:48.284Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T11:12:49.631Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T11:12:50.995Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T11:12:53.128Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T11:12:53.128Z] 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. [2026-03-02T11:12:53.128Z] The best model improves the baseline by 14.34%. [2026-03-02T11:12:53.128Z] Top recommended movies for user id 72: [2026-03-02T11:12:53.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T11:12:53.128Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T11:12:53.128Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T11:12:53.128Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T11:12:53.128Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T11:12:53.128Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16843.828 ms) ====== [2026-03-02T11:12:53.784Z] ----------------------------------- [2026-03-02T11:12:53.784Z] renaissance-movie-lens_0_PASSED [2026-03-02T11:12:53.784Z] ----------------------------------- [2026-03-02T11:12:53.784Z] [2026-03-02T11:12:53.784Z] TEST TEARDOWN: [2026-03-02T11:12:53.784Z] Nothing to be done for teardown. [2026-03-02T11:12:53.784Z] renaissance-movie-lens_0 Finish Time: Mon Mar 2 11:12:53 2026 Epoch Time (ms): 1772449973607