[2026-02-19T22:40:14.008Z] Running test renaissance-movie-lens_0 ... [2026-02-19T22:40:14.008Z] =============================================== [2026-02-19T22:40:14.008Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 22:40:12 2026 Epoch Time (ms): 1771540813010 [2026-02-19T22:40:14.008Z] variation: NoOptions [2026-02-19T22:40:14.008Z] JVM_OPTIONS: [2026-02-19T22:40:14.008Z] { \ [2026-02-19T22:40:14.008Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T22:40:14.008Z] echo "Nothing to be done for setup."; \ [2026-02-19T22:40:14.008Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715392942162/renaissance-movie-lens_0"; \ [2026-02-19T22:40:14.008Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715392942162/renaissance-movie-lens_0"; \ [2026-02-19T22:40:14.008Z] echo ""; echo "TESTING:"; \ [2026-02-19T22:40:14.008Z] "/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_17715392942162/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T22:40:14.008Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715392942162/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T22:40:14.008Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T22:40:14.008Z] echo "Nothing to be done for teardown."; \ [2026-02-19T22:40:14.008Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715392942162/TestTargetResult"; [2026-02-19T22:40:14.008Z] [2026-02-19T22:40:14.008Z] TEST SETUP: [2026-02-19T22:40:14.008Z] Nothing to be done for setup. [2026-02-19T22:40:14.008Z] [2026-02-19T22:40:14.008Z] TESTING: [2026-02-19T22:40:14.008Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-19T22:40:14.008Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17715392942162/renaissance-movie-lens_0/launcher-224013-12205554127997800745/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-19T22:40:14.008Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-19T22:40:14.008Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-19T22:40:17.983Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-19T22:40:24.356Z] 22:40:23.875 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-19T22:40:26.550Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T22:40:27.925Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T22:40:27.925Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T22:40:27.925Z] GC before operation: completed in 212.397 ms, heap usage 154.000 MB -> 75.839 MB. [2026-02-19T22:40:36.979Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:40:41.022Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:40:44.943Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:40:48.886Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:40:51.049Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:40:53.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:40:55.417Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:40:57.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:40:57.548Z] 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. [2026-02-19T22:40:58.310Z] The best model improves the baseline by 14.34%. [2026-02-19T22:40:58.310Z] Top recommended movies for user id 72: [2026-02-19T22:40:58.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:40:58.310Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:40:58.310Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:40:58.310Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:40:58.310Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:40:58.310Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30210.134 ms) ====== [2026-02-19T22:40:58.310Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T22:40:58.310Z] GC before operation: completed in 219.925 ms, heap usage 243.375 MB -> 93.455 MB. [2026-02-19T22:41:01.899Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:41:04.936Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:41:08.003Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:41:10.966Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:41:13.143Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:41:15.281Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:41:16.671Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:41:18.777Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:41:19.458Z] 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. [2026-02-19T22:41:19.458Z] The best model improves the baseline by 14.34%. [2026-02-19T22:41:19.458Z] Top recommended movies for user id 72: [2026-02-19T22:41:19.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:41:19.458Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:41:19.458Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:41:19.458Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:41:19.458Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:41:19.459Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21133.746 ms) ====== [2026-02-19T22:41:19.459Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T22:41:19.459Z] GC before operation: completed in 231.141 ms, heap usage 168.094 MB -> 87.548 MB. [2026-02-19T22:41:22.583Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:41:25.549Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:41:27.700Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:41:30.720Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:41:32.868Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:41:34.297Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:41:36.521Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:41:38.671Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:41:38.671Z] 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. [2026-02-19T22:41:38.671Z] The best model improves the baseline by 14.34%. [2026-02-19T22:41:39.310Z] Top recommended movies for user id 72: [2026-02-19T22:41:39.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:41:39.310Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:41:39.310Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:41:39.310Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:41:39.310Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:41:39.310Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19369.651 ms) ====== [2026-02-19T22:41:39.310Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T22:41:39.310Z] GC before operation: completed in 246.920 ms, heap usage 174.287 MB -> 88.367 MB. [2026-02-19T22:41:42.308Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:41:45.304Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:41:48.832Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:41:51.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:41:54.029Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:41:55.387Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:41:57.592Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:41:59.703Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:41:59.703Z] 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. [2026-02-19T22:41:59.703Z] The best model improves the baseline by 14.34%. [2026-02-19T22:41:59.703Z] Top recommended movies for user id 72: [2026-02-19T22:41:59.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:41:59.703Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:41:59.703Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:41:59.703Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:41:59.703Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:41:59.703Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20513.408 ms) ====== [2026-02-19T22:41:59.703Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T22:42:00.372Z] GC before operation: completed in 235.983 ms, heap usage 347.865 MB -> 88.955 MB. [2026-02-19T22:42:03.348Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:42:06.353Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:42:09.411Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:42:11.574Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:42:13.803Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:42:15.204Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:42:17.394Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:42:19.554Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:42:19.554Z] 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. [2026-02-19T22:42:19.554Z] The best model improves the baseline by 14.34%. [2026-02-19T22:42:19.554Z] Top recommended movies for user id 72: [2026-02-19T22:42:19.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:42:19.554Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:42:19.554Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:42:19.554Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:42:19.554Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:42:19.554Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19798.202 ms) ====== [2026-02-19T22:42:19.554Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T22:42:20.208Z] GC before operation: completed in 200.660 ms, heap usage 140.374 MB -> 88.603 MB. [2026-02-19T22:42:23.295Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:42:26.264Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:42:29.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:42:31.494Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:42:33.691Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:42:34.812Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:42:36.959Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:42:38.330Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:42:38.963Z] 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. [2026-02-19T22:42:38.963Z] The best model improves the baseline by 14.34%. [2026-02-19T22:42:38.963Z] Top recommended movies for user id 72: [2026-02-19T22:42:38.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:42:38.963Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:42:38.963Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:42:38.963Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:42:38.963Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:42:38.963Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18989.446 ms) ====== [2026-02-19T22:42:38.963Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T22:42:38.963Z] GC before operation: completed in 250.002 ms, heap usage 352.035 MB -> 89.281 MB. [2026-02-19T22:42:42.061Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:42:46.070Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:42:49.201Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:42:52.220Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:42:54.364Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:42:55.768Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:42:57.933Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:42:59.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:42:59.971Z] 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. [2026-02-19T22:42:59.971Z] The best model improves the baseline by 14.34%. [2026-02-19T22:42:59.971Z] Top recommended movies for user id 72: [2026-02-19T22:42:59.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:42:59.971Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:42:59.971Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:42:59.971Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:42:59.971Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:42:59.971Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20617.562 ms) ====== [2026-02-19T22:42:59.971Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T22:42:59.971Z] GC before operation: completed in 229.801 ms, heap usage 140.127 MB -> 88.869 MB. [2026-02-19T22:43:03.882Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:43:06.939Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:43:09.972Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:43:12.165Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:43:14.399Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:43:16.607Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:43:18.019Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:43:20.184Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:43:20.184Z] 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. [2026-02-19T22:43:20.184Z] The best model improves the baseline by 14.34%. [2026-02-19T22:43:20.184Z] Top recommended movies for user id 72: [2026-02-19T22:43:20.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:43:20.184Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:43:20.184Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:43:20.184Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:43:20.184Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:43:20.184Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20381.020 ms) ====== [2026-02-19T22:43:20.184Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T22:43:20.854Z] GC before operation: completed in 256.478 ms, heap usage 226.827 MB -> 89.194 MB. [2026-02-19T22:43:24.595Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:43:27.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:43:30.599Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:43:33.586Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:43:34.951Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:43:36.347Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:43:38.542Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:43:40.687Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:43:40.687Z] 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. [2026-02-19T22:43:40.687Z] The best model improves the baseline by 14.34%. [2026-02-19T22:43:40.687Z] Top recommended movies for user id 72: [2026-02-19T22:43:40.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:43:40.687Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:43:40.687Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:43:40.687Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:43:40.687Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:43:40.687Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20078.161 ms) ====== [2026-02-19T22:43:40.687Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T22:43:41.352Z] GC before operation: completed in 186.869 ms, heap usage 162.274 MB -> 88.964 MB. [2026-02-19T22:43:44.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:43:46.595Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:43:50.568Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:43:52.767Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:43:54.951Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:43:56.361Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:43:58.539Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:00.023Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:00.683Z] 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. [2026-02-19T22:44:00.683Z] The best model improves the baseline by 14.34%. [2026-02-19T22:44:00.683Z] Top recommended movies for user id 72: [2026-02-19T22:44:00.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:44:00.683Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:44:00.683Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:44:00.683Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:44:00.683Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:44:00.683Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19464.420 ms) ====== [2026-02-19T22:44:00.683Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T22:44:00.683Z] GC before operation: completed in 276.853 ms, heap usage 241.641 MB -> 89.200 MB. [2026-02-19T22:44:03.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:44:06.789Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:44:10.251Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:44:12.443Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:44:13.882Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:44:16.089Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:44:18.288Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:19.717Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:20.407Z] 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. [2026-02-19T22:44:20.407Z] The best model improves the baseline by 14.34%. [2026-02-19T22:44:20.407Z] Top recommended movies for user id 72: [2026-02-19T22:44:20.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:44:20.407Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:44:20.407Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:44:20.407Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:44:20.407Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:44:20.407Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19647.093 ms) ====== [2026-02-19T22:44:20.407Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T22:44:20.407Z] GC before operation: completed in 206.602 ms, heap usage 243.362 MB -> 88.995 MB. [2026-02-19T22:44:24.479Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:44:27.487Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:44:30.553Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:44:33.613Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:44:35.815Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:44:38.054Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:44:40.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:44:41.710Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:44:42.435Z] 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. [2026-02-19T22:44:42.435Z] The best model improves the baseline by 14.34%. [2026-02-19T22:44:42.435Z] Top recommended movies for user id 72: [2026-02-19T22:44:42.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:44:42.435Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:44:42.435Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:44:42.435Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:44:42.435Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:44:42.435Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21655.133 ms) ====== [2026-02-19T22:44:42.435Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T22:44:42.435Z] GC before operation: completed in 214.527 ms, heap usage 220.340 MB -> 89.213 MB. [2026-02-19T22:44:45.480Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:44:48.567Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:44:51.640Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:44:54.739Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:44:57.235Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:44:59.188Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:00.574Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:03.720Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:03.720Z] 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. [2026-02-19T22:45:03.720Z] The best model improves the baseline by 14.34%. [2026-02-19T22:45:03.720Z] Top recommended movies for user id 72: [2026-02-19T22:45:03.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:45:03.720Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:45:03.720Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:45:03.720Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:45:03.720Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:45:03.720Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21168.010 ms) ====== [2026-02-19T22:45:03.720Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T22:45:03.720Z] GC before operation: completed in 227.418 ms, heap usage 234.120 MB -> 89.319 MB. [2026-02-19T22:45:07.775Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:10.906Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:14.960Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:18.126Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:20.369Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:22.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:24.828Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:26.293Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:26.959Z] 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. [2026-02-19T22:45:26.959Z] The best model improves the baseline by 14.34%. [2026-02-19T22:45:26.959Z] Top recommended movies for user id 72: [2026-02-19T22:45:26.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:45:26.959Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:45:26.959Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:45:26.959Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:45:26.959Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:45:26.959Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23101.142 ms) ====== [2026-02-19T22:45:26.959Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T22:45:26.959Z] GC before operation: completed in 169.100 ms, heap usage 114.194 MB -> 88.994 MB. [2026-02-19T22:45:30.942Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:33.981Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:38.072Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:41.249Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:43.463Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:45.680Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:47.971Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:49.930Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:50.658Z] 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. [2026-02-19T22:45:50.658Z] The best model improves the baseline by 14.34%. [2026-02-19T22:45:50.658Z] Top recommended movies for user id 72: [2026-02-19T22:45:50.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:45:50.658Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:45:50.658Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:45:50.658Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:45:50.658Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:45:50.658Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23505.129 ms) ====== [2026-02-19T22:45:50.658Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T22:45:50.658Z] GC before operation: completed in 302.005 ms, heap usage 140.303 MB -> 89.297 MB. [2026-02-19T22:45:54.677Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:57.730Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:00.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:03.923Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:06.118Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:07.549Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:09.750Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:12.019Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:12.019Z] 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. [2026-02-19T22:46:12.019Z] The best model improves the baseline by 14.34%. [2026-02-19T22:46:12.019Z] Top recommended movies for user id 72: [2026-02-19T22:46:12.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:46:12.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:46:12.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:46:12.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:46:12.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:46:12.019Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21288.472 ms) ====== [2026-02-19T22:46:12.019Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T22:46:12.709Z] GC before operation: completed in 184.504 ms, heap usage 301.261 MB -> 89.383 MB. [2026-02-19T22:46:15.801Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:18.870Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:22.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:25.158Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:27.470Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:28.891Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:31.094Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:32.544Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:33.197Z] 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. [2026-02-19T22:46:33.197Z] The best model improves the baseline by 14.34%. [2026-02-19T22:46:33.197Z] Top recommended movies for user id 72: [2026-02-19T22:46:33.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:46:33.197Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:46:33.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:46:33.197Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:46:33.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:46:33.197Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21014.931 ms) ====== [2026-02-19T22:46:33.197Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T22:46:33.895Z] GC before operation: completed in 359.571 ms, heap usage 167.267 MB -> 89.220 MB. [2026-02-19T22:46:38.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:41.659Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:45.699Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:48.768Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:50.174Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:52.319Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:54.600Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:56.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:56.776Z] 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. [2026-02-19T22:46:56.776Z] The best model improves the baseline by 14.34%. [2026-02-19T22:46:56.776Z] Top recommended movies for user id 72: [2026-02-19T22:46:56.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:46:56.776Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:46:56.777Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:46:56.777Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:46:56.777Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:46:56.777Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23061.377 ms) ====== [2026-02-19T22:46:56.777Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T22:46:57.490Z] GC before operation: completed in 241.001 ms, heap usage 216.193 MB -> 89.154 MB. [2026-02-19T22:47:00.642Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:03.794Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:07.810Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:10.031Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:12.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:14.434Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:16.711Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:18.955Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:18.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-19T22:47:18.955Z] The best model improves the baseline by 14.34%. [2026-02-19T22:47:18.955Z] Top recommended movies for user id 72: [2026-02-19T22:47:18.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:47:18.955Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:47:18.955Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:47:18.955Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:47:18.955Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:47:18.955Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22009.875 ms) ====== [2026-02-19T22:47:18.955Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T22:47:19.637Z] GC before operation: completed in 211.941 ms, heap usage 301.319 MB -> 89.383 MB. [2026-02-19T22:47:22.717Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:25.877Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:29.472Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:32.545Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:34.819Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:36.987Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:39.145Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:41.279Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:41.279Z] 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. [2026-02-19T22:47:41.279Z] The best model improves the baseline by 14.34%. [2026-02-19T22:47:41.279Z] Top recommended movies for user id 72: [2026-02-19T22:47:41.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:47:41.279Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:47:41.279Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:47:41.279Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:47:41.279Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:47:41.279Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22200.135 ms) ====== [2026-02-19T22:47:41.961Z] ----------------------------------- [2026-02-19T22:47:41.961Z] renaissance-movie-lens_0_PASSED [2026-02-19T22:47:41.961Z] ----------------------------------- [2026-02-19T22:47:41.961Z] [2026-02-19T22:47:41.961Z] TEST TEARDOWN: [2026-02-19T22:47:41.961Z] Nothing to be done for teardown. [2026-02-19T22:47:41.961Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 22:47:41 2026 Epoch Time (ms): 1771541261737