[2026-03-02T12:53:13.929Z] Running test renaissance-movie-lens_0 ... [2026-03-02T12:53:13.929Z] =============================================== [2026-03-02T12:53:13.929Z] renaissance-movie-lens_0 Start Time: Mon Mar 2 12:53:13 2026 Epoch Time (ms): 1772455993095 [2026-03-02T12:53:13.929Z] variation: NoOptions [2026-03-02T12:53:13.929Z] JVM_OPTIONS: [2026-03-02T12:53:13.929Z] { \ [2026-03-02T12:53:13.929Z] echo ""; echo "TEST SETUP:"; \ [2026-03-02T12:53:13.929Z] echo "Nothing to be done for setup."; \ [2026-03-02T12:53:13.929Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724551558148/renaissance-movie-lens_0"; \ [2026-03-02T12:53:13.929Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724551558148/renaissance-movie-lens_0"; \ [2026-03-02T12:53:13.929Z] echo ""; echo "TESTING:"; \ [2026-03-02T12:53:13.929Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724551558148/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-02T12:53:13.929Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724551558148/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-02T12:53:13.929Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-02T12:53:13.929Z] echo "Nothing to be done for teardown."; \ [2026-03-02T12:53:13.929Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17724551558148/TestTargetResult"; [2026-03-02T12:53:13.929Z] [2026-03-02T12:53:13.929Z] TEST SETUP: [2026-03-02T12:53:13.929Z] Nothing to be done for setup. [2026-03-02T12:53:13.929Z] [2026-03-02T12:53:13.929Z] TESTING: [2026-03-02T12:53:13.929Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-02T12:53:13.929Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17724551558148/renaissance-movie-lens_0/launcher-125313-15056817619180549384/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-02T12:53:13.929Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-02T12:53:13.929Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-02T12:53:19.327Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-02T12:53:26.066Z] 12:53:24.687 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-02T12:53:27.025Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-02T12:53:27.983Z] Training: 60056, validation: 20285, test: 19854 [2026-03-02T12:53:27.983Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-02T12:53:27.983Z] GC before operation: completed in 139.740 ms, heap usage 238.838 MB -> 75.770 MB. [2026-03-02T12:53:33.434Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:53:36.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:53:39.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:53:42.550Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:53:43.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:53:45.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:53:47.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:53:50.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:53:50.163Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:53:50.163Z] The best model improves the baseline by 14.52%. [2026-03-02T12:53:50.163Z] Top recommended movies for user id 72: [2026-03-02T12:53:50.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:53:50.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:53:50.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:53:50.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:53:50.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:53:50.163Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21804.703 ms) ====== [2026-03-02T12:53:50.163Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-02T12:53:50.163Z] GC before operation: completed in 166.379 ms, heap usage 430.836 MB -> 90.945 MB. [2026-03-02T12:53:52.142Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:53:55.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:53:58.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:54:00.190Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:54:02.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:54:04.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:54:05.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:54:07.061Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:54:07.061Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:54:07.061Z] The best model improves the baseline by 14.52%. [2026-03-02T12:54:07.061Z] Top recommended movies for user id 72: [2026-03-02T12:54:07.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:54:07.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:54:07.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:54:07.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:54:07.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:54:07.061Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17361.462 ms) ====== [2026-03-02T12:54:07.061Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-02T12:54:07.061Z] GC before operation: completed in 143.436 ms, heap usage 415.641 MB -> 88.638 MB. [2026-03-02T12:54:10.102Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:54:12.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:54:15.104Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:54:17.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:54:19.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:54:20.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:54:22.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:54:23.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:54:24.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:54:24.073Z] The best model improves the baseline by 14.52%. [2026-03-02T12:54:24.073Z] Top recommended movies for user id 72: [2026-03-02T12:54:24.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:54:24.073Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:54:24.073Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:54:24.073Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:54:24.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:54:24.073Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16559.990 ms) ====== [2026-03-02T12:54:24.073Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-02T12:54:24.073Z] GC before operation: completed in 160.890 ms, heap usage 298.594 MB -> 89.356 MB. [2026-03-02T12:54:26.040Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:54:29.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:54:31.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:54:34.087Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:54:35.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:54:37.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:54:37.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:54:39.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:54:39.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:54:39.943Z] The best model improves the baseline by 14.52%. [2026-03-02T12:54:39.943Z] Top recommended movies for user id 72: [2026-03-02T12:54:39.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:54:39.943Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:54:39.943Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:54:39.943Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:54:39.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:54:39.943Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16256.346 ms) ====== [2026-03-02T12:54:39.943Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-02T12:54:40.901Z] GC before operation: completed in 139.152 ms, heap usage 152.084 MB -> 89.326 MB. [2026-03-02T12:54:42.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:54:46.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:54:47.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:54:50.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:54:51.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:54:53.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:54:54.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:54:55.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:54:56.271Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:54:56.271Z] The best model improves the baseline by 14.52%. [2026-03-02T12:54:56.271Z] Top recommended movies for user id 72: [2026-03-02T12:54:56.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:54:56.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:54:56.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:54:56.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:54:56.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:54:56.271Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15722.154 ms) ====== [2026-03-02T12:54:56.271Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-02T12:54:56.271Z] GC before operation: completed in 136.648 ms, heap usage 124.477 MB -> 89.384 MB. [2026-03-02T12:54:58.237Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:55:01.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:55:03.241Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:55:05.206Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:55:07.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:55:08.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:55:10.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:55:11.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:55:12.014Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:55:12.014Z] The best model improves the baseline by 14.52%. [2026-03-02T12:55:12.014Z] Top recommended movies for user id 72: [2026-03-02T12:55:12.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:55:12.014Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:55:12.014Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:55:12.014Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:55:12.014Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:55:12.014Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15423.817 ms) ====== [2026-03-02T12:55:12.014Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-02T12:55:12.014Z] GC before operation: completed in 128.454 ms, heap usage 155.568 MB -> 89.620 MB. [2026-03-02T12:55:13.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:55:15.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:55:18.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:55:20.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:55:21.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:55:23.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:55:24.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:55:26.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:55:26.823Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:55:26.823Z] The best model improves the baseline by 14.52%. [2026-03-02T12:55:26.823Z] Top recommended movies for user id 72: [2026-03-02T12:55:26.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:55:26.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:55:26.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:55:26.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:55:26.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:55:26.823Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14789.291 ms) ====== [2026-03-02T12:55:26.823Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-02T12:55:26.823Z] GC before operation: completed in 143.397 ms, heap usage 167.012 MB -> 89.680 MB. [2026-03-02T12:55:28.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:55:31.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:55:33.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:55:35.818Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:55:37.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:55:38.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:55:39.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:55:40.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:55:42.511Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:55:42.511Z] The best model improves the baseline by 14.52%. [2026-03-02T12:55:42.511Z] Top recommended movies for user id 72: [2026-03-02T12:55:42.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:55:42.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:55:42.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:55:42.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:55:42.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:55:42.511Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14532.083 ms) ====== [2026-03-02T12:55:42.511Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-02T12:55:42.511Z] GC before operation: completed in 145.442 ms, heap usage 489.322 MB -> 90.288 MB. [2026-03-02T12:55:43.497Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:55:45.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:55:48.499Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:55:50.465Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:55:51.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:55:52.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:55:54.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:55:55.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:55:55.304Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:55:55.304Z] The best model improves the baseline by 14.52%. [2026-03-02T12:55:55.304Z] Top recommended movies for user id 72: [2026-03-02T12:55:55.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:55:55.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:55:55.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:55:55.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:55:55.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:55:55.304Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14154.032 ms) ====== [2026-03-02T12:55:55.304Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-02T12:55:56.261Z] GC before operation: completed in 121.698 ms, heap usage 386.602 MB -> 90.103 MB. [2026-03-02T12:55:58.232Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:56:00.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:56:03.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:56:05.217Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:56:06.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:56:08.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:56:09.107Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:56:10.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:56:11.038Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:56:11.038Z] The best model improves the baseline by 14.52%. [2026-03-02T12:56:11.038Z] Top recommended movies for user id 72: [2026-03-02T12:56:11.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:56:11.038Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:56:11.038Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:56:11.038Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:56:11.038Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:56:11.038Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15066.814 ms) ====== [2026-03-02T12:56:11.038Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-02T12:56:11.038Z] GC before operation: completed in 134.459 ms, heap usage 118.390 MB -> 89.884 MB. [2026-03-02T12:56:13.013Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:56:14.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:56:18.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:56:19.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:56:20.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:56:22.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:56:23.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:56:25.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:56:25.855Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:56:25.855Z] The best model improves the baseline by 14.52%. [2026-03-02T12:56:25.855Z] Top recommended movies for user id 72: [2026-03-02T12:56:25.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:56:25.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:56:25.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:56:25.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:56:25.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:56:25.855Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14826.979 ms) ====== [2026-03-02T12:56:25.855Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-02T12:56:25.855Z] GC before operation: completed in 118.452 ms, heap usage 434.909 MB -> 90.028 MB. [2026-03-02T12:56:27.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:56:30.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:56:32.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:56:34.785Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:56:36.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:56:37.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:56:38.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:56:40.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:56:40.403Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:56:40.403Z] The best model improves the baseline by 14.52%. [2026-03-02T12:56:40.403Z] Top recommended movies for user id 72: [2026-03-02T12:56:40.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:56:40.403Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:56:40.403Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:56:40.403Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:56:40.403Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:56:40.403Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14561.786 ms) ====== [2026-03-02T12:56:40.403Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-02T12:56:40.403Z] GC before operation: completed in 114.275 ms, heap usage 372.510 MB -> 90.251 MB. [2026-03-02T12:56:43.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:56:45.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:56:47.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:56:49.330Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:56:51.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:56:52.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:56:54.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:56:55.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:56:56.146Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:56:56.146Z] The best model improves the baseline by 14.52%. [2026-03-02T12:56:56.146Z] Top recommended movies for user id 72: [2026-03-02T12:56:56.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:56:56.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:56:56.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:56:56.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:56:56.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:56:56.146Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15191.192 ms) ====== [2026-03-02T12:56:56.146Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-02T12:56:56.146Z] GC before operation: completed in 118.225 ms, heap usage 131.091 MB -> 89.964 MB. [2026-03-02T12:56:58.142Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:57:00.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:57:03.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:57:05.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:57:06.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:57:08.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:57:08.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:57:10.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:57:10.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:57:10.935Z] The best model improves the baseline by 14.52%. [2026-03-02T12:57:10.935Z] Top recommended movies for user id 72: [2026-03-02T12:57:10.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:57:10.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:57:10.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:57:10.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:57:10.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:57:10.935Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14984.381 ms) ====== [2026-03-02T12:57:10.935Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-02T12:57:10.935Z] GC before operation: completed in 128.184 ms, heap usage 211.170 MB -> 89.875 MB. [2026-03-02T12:57:12.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:57:14.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:57:16.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:57:18.786Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:57:20.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:57:21.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:57:22.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:57:23.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:57:24.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:57:24.572Z] The best model improves the baseline by 14.52%. [2026-03-02T12:57:24.572Z] Top recommended movies for user id 72: [2026-03-02T12:57:24.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:57:24.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:57:24.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:57:24.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:57:24.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:57:24.573Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13360.438 ms) ====== [2026-03-02T12:57:24.573Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-02T12:57:24.573Z] GC before operation: completed in 119.758 ms, heap usage 141.602 MB -> 90.017 MB. [2026-03-02T12:57:26.534Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:57:29.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:57:31.530Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:57:33.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:57:34.452Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:57:37.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:57:37.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:57:38.436Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:57:39.392Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:57:39.392Z] The best model improves the baseline by 14.52%. [2026-03-02T12:57:39.392Z] Top recommended movies for user id 72: [2026-03-02T12:57:39.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:57:39.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:57:39.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:57:39.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:57:39.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:57:39.392Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14720.775 ms) ====== [2026-03-02T12:57:39.392Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-02T12:57:39.392Z] GC before operation: completed in 133.235 ms, heap usage 396.460 MB -> 90.169 MB. [2026-03-02T12:57:41.356Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:57:43.322Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:57:46.350Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:57:48.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:57:49.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:57:50.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:57:52.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:57:53.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:57:53.148Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:57:53.148Z] The best model improves the baseline by 14.52%. [2026-03-02T12:57:54.104Z] Top recommended movies for user id 72: [2026-03-02T12:57:54.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:57:54.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:57:54.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:57:54.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:57:54.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:57:54.104Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14229.782 ms) ====== [2026-03-02T12:57:54.104Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-02T12:57:54.104Z] GC before operation: completed in 127.276 ms, heap usage 395.882 MB -> 90.309 MB. [2026-03-02T12:57:56.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:57:58.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:58:00.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:58:02.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:58:03.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:58:03.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:58:05.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:58:06.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:58:06.888Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:58:06.888Z] The best model improves the baseline by 14.52%. [2026-03-02T12:58:06.888Z] Top recommended movies for user id 72: [2026-03-02T12:58:06.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:58:06.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:58:06.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:58:06.888Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:58:06.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:58:06.888Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13554.025 ms) ====== [2026-03-02T12:58:06.888Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-02T12:58:07.847Z] GC before operation: completed in 117.008 ms, heap usage 298.046 MB -> 90.007 MB. [2026-03-02T12:58:09.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:58:11.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:58:13.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:58:16.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:58:17.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:58:18.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:58:20.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:58:21.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:58:22.598Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:58:22.598Z] The best model improves the baseline by 14.52%. [2026-03-02T12:58:22.598Z] Top recommended movies for user id 72: [2026-03-02T12:58:22.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:58:22.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:58:22.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:58:22.598Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:58:22.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:58:22.598Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14845.211 ms) ====== [2026-03-02T12:58:22.598Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-02T12:58:22.598Z] GC before operation: completed in 126.083 ms, heap usage 386.832 MB -> 90.261 MB. [2026-03-02T12:58:24.592Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T12:58:26.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T12:58:28.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T12:58:32.435Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T12:58:32.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T12:58:33.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T12:58:35.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T12:58:36.322Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T12:58:36.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-02T12:58:37.280Z] The best model improves the baseline by 14.52%. [2026-03-02T12:58:37.280Z] Top recommended movies for user id 72: [2026-03-02T12:58:37.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-02T12:58:37.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-02T12:58:37.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-02T12:58:37.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-02T12:58:37.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-02T12:58:37.280Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14518.899 ms) ====== [2026-03-02T12:58:37.280Z] ----------------------------------- [2026-03-02T12:58:37.280Z] renaissance-movie-lens_0_PASSED [2026-03-02T12:58:37.280Z] ----------------------------------- [2026-03-02T12:58:37.280Z] [2026-03-02T12:58:37.280Z] TEST TEARDOWN: [2026-03-02T12:58:37.280Z] Nothing to be done for teardown. [2026-03-02T12:58:37.280Z] renaissance-movie-lens_0 Finish Time: Mon Mar 2 12:58:36 2026 Epoch Time (ms): 1772456316919